Cloud Computing and Marketing Teams up for Business Growth

Cloud Computing and Marketing
While cloud computing technology is already at the matured stage, many organizations have recognized its extensive benefits and begun integrating it to achieve their business goals. According to Markets and Markets, the global cloud computing market size expects a hike from USD 371.4 billion in 2020 to USD 832.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 17.5%. Thus, by adopting cloud computing technology continuously in various sectors, businesses are paving their route to success. Although the last year was challenging for marketers due to the global pandemic, the widespread vaccination drives are reopening some industrial sectors, contributing to improved marketers' confidence this year. Marketing or, better to say, digital marketing is one of the prime verticals to reap maximum benefit by integrating with cloud computing technology. We know how the cloud serves extensive benefits to businesses and trends in the technology market. Cloud computing and marketing can jointly make the organizations future-ready and drive tremendous business growth. The combination can considerably change how organizations can improve their marketing strategies.

This article will elaborate on the benefits of integrating cloud computing with digital marketing and how this exclusive collaboration works for business growth.

Top benefits of Cloud Integration in Digital Marketing

By integrating cloud services into digital marketing, several organizations of all sizes can succeed and enhance their versatility. Cloud computing democratizes the platform, allowing businesses to gain traction and collaborate easily. Marketers also appreciate the flexibility of the cloud, which allows scaling with fluctuations at any point in time. As per Skyhigh’s research, the cloud can help companies with collaborative tasks, file sharing, content sharing, and data security. The average employee uses 36 cloud-based services in their daily schedule. Integrating cloud computing and marketing strategies, small enterprises can compete with industry giants, save costs, improve productivity, and streamline workflows.

Easy Data Accessibility

In the modern world, data is king. When you promote your products and services online, you are not communicating with your target audience in person; hence, you need to find a more brilliant way to learn about your target market. The experts at Outreach Monks say the ideal way to drive decisions from the target audience is by thoroughly knowing them. When you have essential customer data, you see the demand of your target audience and their expectations from your products or services. Thus, you may track and store much data captured from the surveys, questionnaires, events, advertisements, etc., and monitor their interest. However, manual efforts to store and organize all of this information can be laborious and time-consuming. A cloud data center offering cloud computing services for marketing makes it easy to store, manage and access your data, making remote work possible. The cloud allows you to improve collaboration and communication both within the team and with clients. Additionally, the risk of data loss is negligible. 

Cost-efficiency

As compared to the legacy data storage method, cloud computing allows more cost-savings. As a marketer, when your primary focus is minimum investment, a collaboration of cloud computing and marketing techniques is the best choice for you. As saving cost is one of the primary motives, with cloud computing, you no longer need to set up and pay for expensive infrastructure, hardware, or licensing fees to store the crucial marketing data. In addition, you have the option to automate the processes and improve efficiency and save time. Hence, cost-efficiency is a direct benefit for enterprises that trust the cloud for their digital marketing strategy.

Enhanced Data Analytics

Marketers have a vast collection of actionable, real-time customer data in-store. However, arbitrary data is not helpful unless marketers have the correct tools to analyze and extract valuable insights. The marketers can leverage cloud-based data analytics tools to track leads, evaluate new marketing channels with negligible risk, and determine the fundamentals of marketing strategy that is the best suite for the target audience. Further, with SaaS platforms like cloud-based CRM applications, it is easier to keep track of the needs of prospects and customers. Based on a survey by Fortune Business Insights, the global cloud analytics market size recorded USD 13.15 billion in 2018 and is estimated to reach USD 72.40 billion by 2026, at a CAGR of 24.3% during the forecast tenure.

Valuable Insights for Engaging Content

Apart from providing information about the target audience, the cloud-empowered data analytics tools also serve vital insights on the content to attract prospects. Marketing content is the key motivational factor behind inbound marketing that engages the audience and helps them decide whether or not to purchase products or services. Hence, ensuring the quality of marketing and business content is the route to client engagements and conversions. Cloud-based data analytics tools help you recognize the best-performing content and provide information about the customers' interaction with that particular content piece. Further, it can also identify strategic modifications made by the marketers to attract more customer attention. In addition, the power to effectively analyze and utilize the insights helps in effective decision-making.

Expands Inbound Marketing Tactics

Along with the content, social media engagement is amongst the most vital elements of the marketing strategy. The popular cloud-based platforms such as Facebook, YouTube, Twitter, and Instagram serve massive scope for empowering inbound marketing. Since these platforms are the receiver of massive user traffic every day, they prove to be the best tools for expanding the business reach. Thus, you get an opportunity to amplify their products and services through digital marketing with the adoption of cloud computing.

Efficient Time Management

The cloud computing tools allow you to control content and deploy strategies without any dependencies on other departments, allowing you to save time. As a result, cloud computing and marketing jointly help you improve processes, streamline the operations, stay focused and implement strategies more rapidly. Because, once you reduce the departmental interdependencies, implementing marketing plans and goals becomes more manageable. Additionally, the cloud-based systems have a nominal learning curve, and hence it cuts down the extra time taken for training new joiners. Thus, the automation of marketing operations empowers you by saving time. As a result, you can now shift your efforts to the other critical aspects of the business.

Improved Data Security

Cloud computing helps to provide a secured environment for digital marketers. Every piece of customer data that your digital marketing team stores is crucial, and you cannot afford to lose it. By integrating cloud computing and marketing, you can eradicate the chances of data loss, and thus, data security has greater significance towards your business growth. According to Salesforce, 94% of businesses experience significant online security improvements after shifting their data to the cloud. Data security and reliability matters when dealing with customer information. Otherwise, you may lose your customers' trust impacting the reputation of your business. Cloud services allow your organization to manage your customers' data, and it is critically important to maintain synchronization with data privacy regulations and compliance. Salesforce also attests that a massive 91% cloud helps to deal with government compliance requirements.

Increases Productivity

For the digital marketing process to work perfectly for your business, you have to use multiple tools concurrently with specific techniques. These tools may comprise PR marketing, email marketing, digital advertising, web analytics, and many more. You may also look forward to connecting with the right influencers to have maximum impact on your target audience. However, you may lose out time in the process. Thus, cloud computing and marketing collaboration requirements arise where cloud computing can help you streamline productivity using these techniques. It can help identify and reach the right influencer by saving your time to improve your customer reach. 

Brings in Innovation

Marketers get exposure to several new marketing tools for enhanced accessibility, processes, and analytics when they integrate cloud computing and marketing. These tools effectively save time and energy, resulting in more bandwidth to focus on innovation. Now, you can have more time to research the target audiences, understand their interests, and spend more time creating innovative campaigns to connect with the customers. As a result, you can expand the reach of the business. By default, innovation in marketing positively impacts sales and drives comprehensive growth for the organization.

Why are Marketers inclined towards controlling their data?

The COVID-19 pandemic toppled traditional means of doing business and communicating. The recent CMO survey reveals that 72% of the marketers report that the significance of marketing has increased during the pandemic year. Thus, controlling customer-critical data to churn it into valuable insights is the priority for marketers. With the adoption of innovative and advanced techniques such as cloud computing services for the marketing landscape, they find practical solutions to utilize their data for the dynamic trends of the marketing world. Ever since Big Data has attained global focus, it has attracted marketers- big-time. It can provide valuable insights for solutions to all kinds of business problems. Today, data is the key to tap success in the business and marketing world.

In a Nutshell

When two of the intrinsic departments (Marketing and IT Departments) of your business team up, success is inevitable. Undoubtedly, several long-lasting benefits come from integrating cloud solutions with your digital marketing strategy. However, the incorporation may require an initial investment by your organization, yet its outcome is worthwhile. Therefore, businesses today should completely utilize the opportunity to mix cloud computing and marketing to design effective digital marketing strategies. The best tactic is to leverage cloud-based apps to help assess and optimize marketing strategies to place the right content in the proper forum and comply with all the rules and regulations. In a recent interview with Media7, Eric Sleeth, Senior Marketing Manager at Veriday, said, "With the battles and changes around privacy legislation, advertising, and cookies, there will be a major upliftment that all organizations need to go through to learn new technology and tactics to adapt to these changes."

FAQ’s

What is Cloud Computing and Marketing?

Integrating cloud computing services with digital marketing is an innovative step to empower marketers to utilize advanced technology and innovate their marketing strategies. The combination of cloud computing and marketing can help to upgrade the marketing strategies of an organization. Moreover, it also offers easy data accessibility, flexibility to scale, price management, valuable marketing insights, security, time efficiency, and innovation. 

Is cloud computing and marketing effective for small businesses?

Cloud computing provides a robust platform for all sizes of businesses, allowing them to engage with a wide range of prospects, and grow marketing resources at the same pace. It equalizes the opportunities so that small businesses get identical exposure as their large-scale peers. Hence, cloud computing and marketing are equally effective for small businesses as the industry giants.

How can cloud computing help to connect with the target audience?

For marketers, the cloud is an all-inclusive, ready solution, which provides on-demand services to marketers. It provides valuable data analytics which helps to understand the needs and demands of the target audience. It also offers insights on effective content that attracts the customers and allows the marketers to improvise their strategies to reach prospects.

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10 Data Warehouse Best Practices to Save Colossal Extra Costs

Article | July 21, 2023

Storing large data sets in a data warehouse can become expensive over a period of time. However, data warehouse best practices save organizations colossal cloud storage costs and optimize them. Contents 1. The High Cost of Low-efficiency Data Warehousing 2. Data Warehouse Best Practices: A Blueprint to Savings 2.1 Effective Data Organization 2.2 Automation 2.3 Storage Optimization 2.4 Data Quality Assurance 2.5 Security Measures 2.6 Metadata Management 2.7 Logging 2.8 Data Flow Diagram 2.9 Change Data Capture (CDC) Policy 2.10 Agile Data Warehouse Methodology 3. The Future is Frugal: Tapping Cost-effective Data Warehousing Inefficient data warehousing can be a silent drain on an organization's resources, necessitating the implementation of stringent data warehousing best practices. It's like a leaky faucet, slowly siphoning off valuable time and money, often going unnoticed until the damage is done. The financial implications are far-reaching, from increased storage costs to wasted resources and even the potential for costly errors. 1. The High Cost of Low-efficiency Data Warehousing Increased Storage Costs: Inefficient data warehousing can lead to unnecessary data duplication and overlap, resulting in high storage costs. Wasted Resources: Poorly managed data warehouses often consume up to 90% of the available compute capacity and 70% of the required storage space. Potential for Costly Errors: Manual errors and missed updates can lead to corrupt or obsolete data, affecting data-driven decision-making and causing inaccurate data analysis. Efficiency in data management is not just about cutting costs; it's about unlocking the full potential of the existing data. It is crucial to understand the best practices for data warehousing to save costs and aim to turn data warehouses from a cost center into a value generator. 2. Data Warehouse Best Practices: A Blueprint to Savings Data warehousing is an essential aspect of business intelligence which often presents operational challenges. The tasks can be daunting, from managing vast amounts of data to ensuring data quality and security. However, by adopting best practices, these challenges can be turned into opportunities for significant cost savings. Data warehouse cost optimization drives the success of a data warehouse, mitigating the challenge of reducing data warehouse costs in the long run. 2.1 Effective Data Organization Structured Data Modeling and Design: A well-thought-out data model organizes data effectively, enabling efficient data retrieval and supporting analytics needs. Metadata Classification: By categorizing data based on metadata, organizations can significantly enhance data retrieval and organization. Data Governance: Implementing a data governance framework helps define the relationships between people, processes, and technologies. Data Warehouse Schema Design: A well-designed schema optimizes data retrieval and analysis and ensures that the data warehouse aligns with the business’s analytical and reporting needs. Data Flow Management: Efficient management of data flow from various sources into the data warehouse is crucial for maintaining data integrity and consistency. Effective data organization involves structuring data in a way that facilitates efficient retrieval and analysis. It requires a well-thought-out data model, effective metadata classification, robust data governance, appropriate schema design, and efficient data flow management. 2.2 Automation ETL Automation: Automating ETL processes decreases the human labor required to build and deploy warehouses. Data Integration Automation: Automating data integration ensures smooth data flow into a warehouse. Data Quality Checks Automation: Implementing automated data quality checks minimizes the risk of erroneous data analysis. Data Warehouse Design Automation: Modern data warehouse design tools can execute within hours, compared to months, at a fraction of the cost of manual programming. Data Management Automation: Automation in data management can drastically reduce manual labor and error rates. Data warehouse automation replaces standard methods for building data warehouses with the right data warehousing software tools. It automates the planning, modeling, and integration steps, keeping pace with an ever-increasing amount of data and sources. A data warehouse software buyer’s guide comes in handy to select the appropriate tool for data center operations. 2.3 Storage Optimization Efficient Data Analysis: Supports complex data queries and analytics, enabling deeper insights and more effective reporting. Scalability and Flexibility: It adapts easily to changing data volumes and evolving business needs. Data Compression: Data compression techniques can be used to reduce the storage space required. Data Partitioning: Data partitioning can improve query performance and the manageability of data. Data Indexing: Proper indexing can significantly speed up data retrieval times. Storage management and optimization in data warehousing involve techniques that improve performance and reduce storage costs. 2.4 Data Quality Assurance Data Cleansing: This involves identifying and fixing errors, duplicates, inconsistencies, and other issues. Data Validation: This ensures the accuracy, consistency, and reliability of the data stored in a warehouse. Data Profiling: It entails understanding the quality of data to uncover any gaps. Data Standardization: The process ensures that the data conforms to common formats and standards. Continuous Monitoring: Regular monitoring of data quality is necessary to maintain high standards. Data quality assurance involves identifying and fixing errors, duplicates, inconsistencies, and other issues. It ensures the accuracy, consistency, and reliability of the data stored in a company’s warehouse. 2.5 Security Measures User Access Controls: This is for ensuring strict user access controls so that employees only have access to the data they need to conduct their tasks. Data Encryption: This is done using highly secure encryption techniques to protect data. Network Security: It takes precautions to safeguard networks where data is stored. Data Migration Security: Moving data with care and consideration for the security implications of any data migration process comes under data migration security. Regular Security Audits: This implies conducting regular security audits to identify potential vulnerabilities. Security measures in data warehousing involve using a multiplicity of methods to protect assets. These include intelligent user access controls, proper categorization of information, highly secure encryption techniques, and ensuring strict access controls. 2.6 Metadata Management Data Cataloging: This is all about maintaining a comprehensive catalog of all data assets to facilitate easy retrieval and usage. Data Lineage: Data lineage allows you to trace the origin and transformation of data over its lifecycle. Data Dictionary: A data dictionary is used to define the meaning, relationships, and business relevance of data elements. Metadata Integration: This is essential for seamless integration of metadata across various platforms and tools. Regular Metadata Updates: Regularly updating metadata is done to reflect changes in data sources and business requirements. Metadata management in data warehousing involves the systematic organization and control of data assets. This includes maintaining a comprehensive data catalog, tracking data lineage, creating a data dictionary, and ensuring seamless metadata integration. 2.7 Logging Activity Tracking: The activity implies monitoring user activities and transactions to maintain a record of data interactions. Error Logging: Capturing and recording errors facilitates troubleshooting and improves system reliability. Audit Trails: Maintaining audit trails ensures accountability and traceability of actions. Log Analysis: Regularly analyzing log data helps in the identification of patterns, anomalies, and potential security threats. Log Retention: Storing logs for a defined period assists in meeting compliance requirements and supports incident investigation. Logging in data warehousing involves keeping a detailed record of activities, errors, and transactions. This includes monitoring user activities, capturing errors, maintaining audit trails, analyzing log data, and storing logs as per compliance requirements. 2.8 Data Flow Diagram Data Sources: Data sources involve identifying and documenting the sources from which data is collected. Data Transformation: The task entails mapping out the processes that modify or transform data as it moves through the system. Data Storage: Data storage involves detailing where data is stored at various stages of the data lifecycle. Data Usage: This illustrates how and where data is used in business processes. Data Archiving: The process shows how data is archived or retired when no longer in active use. A data flow diagram in data warehousing provides a visual representation of how data moves, transforms, and is used within the system. It includes identifying data sources, mapping data transformations, detailing data storage, illustrating data usage, and showing data archiving processes. 2.9 Change Data Capture (CDC) Policy Understanding Data Needs: One begins the incorporation of CDC by understanding the data integration requirements. Choosing the Right CDC Method: One chooses a CDC method that resonates with the requirements and specific use cases. Incorporating Monitoring and Logging Processes: The process involves the implementation of proper recording and monitoring mechanisms to evaluate the quality and efficacy of the CDC tools. Ensuring Real-Time Synchronization: Change data capture helps to synchronize data in a source database with a destination system as soon as a change happens. Choosing the Right CDC Implementation Pattern: Depending on specific needs, one can choose from query-based CDC, trigger-based CDC, or binary log-based CDC. These practices to implement a CDC policy help boost the efficiency of data warehousing operations, leading to significant cost savings. 2.10 Agile Data Warehouse Methodology Model Just-in-Time (JIT): One begins the incorporation of Agile Data Warehouse Methodology by modeling details in a Just-in-Time (JIT) manner. Prove the Architecture Early: The architecture is tested using code early in the process to confirm that it works. Focus on Usage: One prioritizes the needs of the end-users and ensures that the data warehouse or business intelligence solution meets their actual needs. Don’t Get Hung Up on “The One Truth”: One validates and reconciles different versions of the truth within an organization. Organize Work by Requirements: One organizes the development work based on the requirements of the stakeholders. Active Stakeholder Participation: One ensures active participation from all stakeholders. This helps in understanding their needs and expectations better. Strong Collaboration: One reassures that business users and stakeholders work together effectively, as well as that automation, evolutionary modeling, and continuous integration are implemented correctly. Agile data warehousing practices contribute to the efficiency and effectiveness of data warehousing operations, leading to significant cost savings. Each of these best practices contributes to cost savings by reducing data management procedures and increasing overall efficiency. In the next section, learn about cost-effective data warehousing recommendations for the future. Understand how to optimize data warehousing operations further for maximum savings! 3. The Future is Frugal: Tapping Cost-effective Data Warehousing Data warehousing is a crucial component of any data-driven organization. However, the cost of managing and storing vast amounts of data can be a significant pain point. But what if a company could turn this challenge into an opportunity for innovation and sustainability? Frugality, the practice of being economical with resources, is driving significant advancements in data warehousing. Here are some key trends: Cloud Dominance: The shift towards cloud-based data warehousing solutions is accelerating. These platforms offer remarkable scalability, flexibility, and cost-effectiveness. Cost-effective Data Storage: Strategies like data compression, data archival, and resource management are being employed to reduce the overall cost of storing and managing data. Efficient ETL Processes: Optimized ETL processes and seamless data integration ensure smooth data flow into a warehouse, reducing operational costs. Looking ahead, it's clear that frugality will continue to shape the future of data warehousing. So, how can a company tap into these trends for a better future in data warehousing? Firstly, organizations should consider transitioning their data warehouses to the cloud if they haven't already. The cost savings, scalability, and flexibility offered by cloud-based solutions are too significant to ignore. Secondly, they should implement cost-effective data storage strategies such as data compression and archival. Lastly, they should optimize their ETL processes for efficient data integration. By embracing frugality, organizations are not just cutting costs; they are driving innovation and sustainability in their data warehousing operations. The future is indeed frugal!

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10 New Innovations in Storage Management for Data Access Control

Article | July 27, 2023

Control data access with novel innovations in cloud data storage management. Discover new ideas like DNA data storage, blockchain data storage, LLMs, and more for data storage management in the cloud. 1. Storage Management: A Puzzle 2. The Innovative Leap in Data Accessibility 2.1 Large Language Models (LLMs) 2.2 DNA Data Storage 2.3 Diamond Data Storage 2.4 Blockchain Data Storage 2.5 Hybrid Cloud Data Storage 2.6 Edge Computing Data Storage 2.7 Zero-trust Data Storage 2.8 Green Data Storage 2.9 Holographic Data Storage 2.10 Federated Data Storage 3. Powerful Data Storage Management in the Cloud 3.1 Backblaze 3.2 BVR Cloud 3.3 DreamHost 3.4 IDriveInc 3.5 Qumulo 3.6 Redstor 3.7 Scaleway 3.8 Unitrends 3.9 Wasabi Technologies 3.10 Zadara 4. Envisioning Cloud Storage Management’s Future The rising cost of cloud storage is a conundrum that businesses grapple with, and this is leaving companies with a dire need for cloud storage management innovations. Google recently announced a significant increase in cloud storage costs, between 25 and 50 percent. This surge, often referred to as ‘cloud-flation,’ has been a catalyst for businesses to seek innovative solutions to optimize their cloud storage space. 1. Storage Management: A Puzzle AI-driven storage solutions are revolutionizing the cloud storage cost conundrum. By analyzing data relevancy, these systems reduce costs and ensure easy accessibility. They also forecast demand, enabling strategic reservations of applications or storage resources, a practice often termed ‘cloud cost optimization.’ This innovation is yielding manifold benefits. Businesses are curtailing expenditure, enhancing resource efficiency, gaining budget control, and improving transparency. With 94% of IT leaders reporting rising cloud storage costs, AI-driven methods are a game-changer, offering a solution to the cloud cost puzzle. This is not just a cost-saving measure but a strategic move towards efficient and effective storage management, adhering to storage management best practices and the latest trends in storage management. It's a testament to the adage, ’Every cloud has a silver lining.’ 2. The Innovative Leap in Data Accessibility Data accessibility is crucial for organizations to utilize data for decision-making and innovation. Current innovations in storage management enable control over data access across platforms, managing who, what, when, where, and how data is accessed. 2.1 Large Language Models (LLMs) LLMs are expected to transform data practices by enabling better capture, classification, and cleaning of data. These help businesses leverage data for various purposes, such as content generation, sentiment analysis, and knowledge extraction. However, LLMs also pose challenges, such as data quality, ethics, and security. Advances in AI ethics and security measures are addressing data quality issues. New techniques for data anonymization and encryption ensure the ethical use of data. 2.2 DNA Data Storage DNA data storage is projected to offer a long-term and high-density solution for data storage. This is because it has the ability to store up to 215 petabytes of data per gram of DNA. It also enables data access control by using molecular cryptography, biometric authentication, and error correction codes. However, DNA data storage also faces hurdles, such as cost, speed, and scalability. Tech advancements in storage reduce the cost of DNA synthesis and sequencing. Parallel processing techniques improve the speed and scalability of DNA data storage. 2.3 Diamond Data Storage Diamond data storage is envisioned to offer a fast, secure, and stable solution for data storage, as it stores data in nanoscale diamonds using laser pulses. It also supports data accessibility by allowing parallel processing and quantum communication. Nonetheless, diamond data storage also requires further research, development, and testing. Ongoing research is optimized for the use of laser pulses for data storage. Quantum communication protocols are enhancing data accessibility in diamond data storage. 2.4 Blockchain Data Storage Blockchain data storage is anticipated to offer a secure, transparent, and immutable solution for data storage. It stores data in a distributed ledger system across multiple nodes. It also facilitates data access control by using smart contracts, encryption, and consensus mechanisms. Yet, blockchain data storage also has limitations such as performance, scalability, and interoperability. Improvements in blockchain technology improve its performance and scalability. Cross-chain communication protocols address the interoperability issues. 2.5 Hybrid Cloud Data Storage Hybrid cloud data storage uses a combination of public and private cloud services to store data to offer a flexible, scalable, and cost-effective solution for data storage. It improves data accessibility by enabling workload portability, unified management, and automation. However, hybrid cloud data storage presents several issues, including complexity, security, and governance. Automation and AI make it easy to manage hybrid cloud environments. Advanced security measures address data security and governance issues. 2.6 Edge Computing Data Storage Edge computing data storage is predicted to offer a low-latency, low-bandwidth, and low-energy solution for data storage. This is owing to the fact that it uses devices at the edge of the network to store and process data. It also enhances data access control by using local encryption, authentication, and caching. However, edge computing data storage confronts challenges such as reliability, compatibility, and maintenance. Edge gadgets are becoming more reliable as technology advances. Compatibility and maintenance issues are being addressed through standardization and remote device management. 2.7 Zero-trust Data Storage Zero-trust data storage is projected to offer a robust, resilient, and reliable solution for data storage, as it employs a security model that assumes no trust between data users and providers. It improves data accessibility by using granular policies, continuous monitoring, and verification. Yet, zero-trust data storage also requires a paradigm shift, a holistic approach, and a cultural change. The adoption of zero-trust principles is becoming more widespread, facilitated by advances in identity and access management technologies. Continuous monitoring and verification techniques are enhancing data security. 2.8 Green Data Storage Green data storage is envisioned to offer an eco-friendly, energy-efficient, and sustainable solution for data storage, as it uses environmentally friendly methods to store data. It promotes data accessibility by using renewable energy sources, energy-efficient devices, and data center optimization. Nonetheless, green data storage demands more awareness, innovation, and investment. Increased awareness of environmental issues drives investment in green data storage. Innovations in energy-efficient storage technologies and renewable energy sources are making data storage more sustainable. 2.9 Holographic Data Storage Owing to its use of laser beams to store data in three dimensions, holographic data storage is anticipated to offer a high-capacity, high-speed, and high-quality solution. It enables data access control by using optical encryption, multiplexing, and hologram authentication. Yet, holographic data storage also faces challenges , which include cost, compatibility, and durability. Technological advancements reduce the cost of holographic data storage. Compatibility issues are being addressed through the development of universal data formats and interfaces. 2.10 Federated Data Storage Federated data storage is expected to offer a privacy-preserving solution. It will also respect sovereignty and improve diversity. This is achieved by storing data across a network of independent data repositories. It also improves data accessibility by using metadata, query processing, and data integration. On the flip side, federated data storage has some drawbacks, such as heterogeneity, latency, and coordination. Advances in privacy-preserving technologies enhance the security of federated data storage. Sovereignty-respecting mechanisms and diversity-enhancing techniques make data storage more inclusive. 3. Powerful Data Storage Management in the Cloud As data volumes explode, businesses grapple with complex access control challenges. This section unveils robust tools that streamline storage management, fortify data access control, and empower decision-makers to navigate the cloud’s vast expanse with confidence. 3.1 Backblaze Backblaze's B2 Cloud Storage is a revolutionary solution that empowers organizations to innovate and elevate their cloud data storage management. It offers infinitely scalable, cost-effective, and S3-compatible storage. This makes it an ideal choice for both personal and business use. The service is enterprise-ready, providing secure and compliant storage with predictable pricing, free of hidden fees and deletion penalties. It's readily accessible, ensuring fast data usage with a 99.9% uptime SLA. Backblaze's cloud storage is durable and reliable, optimizing for data mobility, performance, and cost. It supports data retention and deletion policies, HIPAA programs, and SSAE-18/SOC 2 data centers, making it a trusted choice for decision-makers in any organization. 3.2 BVR Cloud BVR Cloud is a dynamic American cloud hosting company that provides a diverse range of cloud products. Its robust offerings, like virtual machines and managed satellites, facilitate seamless cloud protection and storage. BVR Cloud's low-latency network and frequent upgrades from SSD to NVMe across all locations ensure superior performance. It addresses the critical need for data storage, security, and management of large volumes of data in the cloud. With its 24/7 support, BVR Cloud is a strategic choice for companies aiming to innovate and elevate cloud data storage management. 3.3 DreamHost DreamHost is a trailblazer in the cloud storage ecosystem, offering DreamObjects, a cost-effective and scalable cloud storage service. It's powered by Ceph, ensuring high fault tolerance by storing data on multiple disks across multiple servers. DreamObjects is S3 compatible, making it ideal for hosting files, storing backups, and developing web apps. It offers flexible and predictable pricing with free API requests, catering to the needs of decision-makers. DreamObjects lets organizations innovate their cloud data storage management and therefore, becomes strategic choice for business growth. 3.4 IDriveInc IDriveInc is a pioneering company specializing in cloud storage. It also offers various services, including online backup, file sharing, remote access, compliance, and related technologies. Its product, IDrive, offers comprehensive cloud backup and storage solutions. IDrive comes with several features, such as 256-bit AES encryption, incremental and compressed transfers, and offline file access. IDrive's user-friendly interface is compatible across many operating systems and devices, making it a strategic choice for decision-makers. With IDrive, organizations transcend their cloud data storage management, ensuring secure and efficient handling of large volumes of data. 3.5 Qumulo Qumulo is a leading provider of cloud data storage solutions that offers exabyte-scale file storage in the cloud. Its product, Qumulo's Scale Anywhere platform, is a unified, unstructured data platform that can run and scale everywhere data is created, stored, and accessed. It offers real-time data visibility, AI/ML-powered data prefetch, and continuous data protection. Qumulo's powerful solution empowers organizations to transform their cloud data storage management, guaranteeing safe and efficient handling of extensive data volumes. 3.6 Redstor Redstor is a leader in data protection. It offers a cloud-first backup solution that streamlines data storage management. Its automated and scalable cloud storage ensures secure data recoveries, bolstering organizational resilience. The InstantData technology enables rapid system recovery that minimizes downtime. With AI-powered malware detection and data insights, Redstor empowers organizations to safeguard their data. This makes it an invaluable asset for the IT departments. 3.7 Scaleway Scaleway, a European cloud provider, offers innovative cloud storage solutions that empower organizations to optimize their data management. Its products, including object storage and block storage, provide robust performance, security, and cost adaptability. By transitioning to Scaleway's storage-as-a-service model, organizations can potentially reduce their storage infrastructure costs by 40%. This shift not only offers financial benefits but also enhances data accessibility, scalability, and resilience. From startups to large enterprises, Scaleway's cloud storage solutions are designed to meet diverse needs, driving business growth and continuity. 3.8 Unitrends Unitrends, a trailblazer in cloud data storage management, offers a comprehensive suite of solutions that empower organizations to innovate and elevate their data management strategies. Its flagship product, Unitrends Unified Backup, provides robust data protection, proactive ransomware detection, and seamless integration with various hypervisors. The product's role-based access control model allows granular management of data. This ensures a secure and efficient data handling. With its focus on business continuity and disaster recovery, Unitrends caters to diverse organizational functions, enhancing resilience and reducing downtime. 3.9 Wasabi Technologies Wasabi Technologies, an early innovator in cloud storage, offers a unique solution to enable organizations to manage their data efficiently. Its product, Wasabi Hot Cloud Storage, provides affordable and instant access to data, eliminating complex tiers and unpredictable fees. The product's robust access control mechanisms, such as bucket policies and Access Control Lists (ACLs), ensure secure data management. It also offers multi-user authentication, adding an extra layer of security. Wasabi's solution is beneficial across various functions of an organization. It aids in data backup and recovery, active archiving, surveillance storage, and data lakes. This makes it a vital tool for IT leaders, allowing them to innovate and manage cloud data storage. 3.10 Zadara Zadara is an expert in enterprise storage solutions. It enables businesses to elevate their cloud data storage management with a secure-by-design infrastructure, ensuring stringent data access control. Zadara's platform supports any data type and protocol and can be deployed anywhere, providing unparalleled flexibility. It is an attractive choice for decision-makers owing to its pay-as-you-go model, which optimizes costs. From IT to finance, various functions within an organization can leverage Zadara's solutions for efficient data management. 4. Envisioning Cloud Storage Management’s Future Due to the growth of digital data and the adoption of cloud computing, data storage technology is dynamically evolving. The storage management market, influenced by the increasing use of storage management tools, is set to grow at a CAGR of 11.3%. However, data security and privacy concerns pose challenges. Yet, these hurdles catalyze the development of robust and secure solutions, leading to a demand for a comprehensive storage management software comparison guide. With 56% of respondents using Microsoft Azure, the choice of cloud provider is crucial for performance and cost-efficiency. Summing up, the future of data storage technology is a mosaic of opportunities and challenges, leading to more efficient, secure, and cost-effective solutions. Overcoming them is a journey of optimism and resilience with the help of storage management innovations.

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15 Fantastic Storage Management Tools for Better Data Analysis

Article | February 20, 2024

Manage vast amounts of data to derive business intelligence with cloud storage management tools and save on rising cloud storage costs. Discover great cloud data management tools for all businesses. Contents 1. Descriptive to Prescriptive Data Analysis in Storage Management 2. High-Performance Storage Management Tools for Data Analysis 3. New Technology Trends Forecast for Storage Management Data is precious for businesses. However, storing and organizing data in the cloud is getting more expensive. So, there’s a growing need for better tools to manage cloud data storage. It’s important to clean and organize data for a comprehensive analysis. Organizations are thinking about moving from descriptive to prescriptive data analysis to speed up decisions based on data. This could significantly change how cloud data is stored and managed. Prescriptive analysis is replacing descriptive analysis, which looks at historical data. This uses insights to suggest actions for the best storage management. This change helps businesses to understand their past and current storage needs. It also guides them in predicting and managing future needs. They do this by using advanced data analysis techniques for smart storage management innovations. Descriptive to Prescriptive Data Analysis in Storage Management Descriptive analysis is a crucial aspect of business intelligence. It uses data collection and mining to organize past data, presenting it in comprehensible visuals. It aims to depict past events, helping decision-making by identifying patterns in past issues. Prescriptive analytics provides forecasts based on past data. It aims to identify the optimal outcome from various options using complex algorithms and raw data analysis. In storage management, addressing sudden data requirements involves more than transitioning from descriptive to prescriptive analysis. Businesses analyze past storage use and employ lateral thinking to uncover unclear patterns or trends. These insights aid in predicting future storage needs and suggesting optimal storage management best practices and strategies. Employing prescriptive analysis in storage management can result in significant cost savings and efficiency enhancements. Lateral thinking helps organizations maximize their storage resources, reduce costs, and improve service delivery and uptime. High-Performance Storage Management Tools for Data Analysis High-performance storage management tools are changing how data is managed in storage systems. They automate tasks such as setup, data placement, and optimization by leveraging AI and machine learning. They unify and manage storage resources across various cloud environments for efficient management. Besides enhancing storage performance, these tools ensure data security and compliance with global storage regulations. Amazon S3 Adapter for SAP CPI Amazon S3 Adapter for SAP CPI offers a range of benefits for organizations managing cloud data storage and analysis: Robust and Scalable: It provides robust and scalable solutions for cloud data storage management. This functionality enables organizations to elastically scale and optimize their storage footprint. Versatile: The adapter supports several protocols, including S3, SQS, SNS, and SWF, enhancing its versatility. Cost-Efficient: By leveraging this adapter, businesses can create a cost-efficient environment. Supports Large Data Infusions: It supports large data infusions, facilitating effective data analysis. User-friendly Web Services Interface: Its simple web services interface lets the developers store and retrieve any amount of data at any time, from anywhere on the web. These features make the Amazon S3 Adapter for SAP CPI an ideal choice for organizations that seek secure, efficient, and scalable cloud data storage solutions. BigMIND BigMIND, a cloud hosting product, offers a range of benefits for organizations managing cloud data storage and analysis: Intelligent Data Management: It leverages AI-driven algorithms to automatically categorize and tag uploaded data, enhancing data retrieval and streamlining data analysis. Advanced Search Capabilities: Its advanced search capabilities empower organizations to optimize decision-making processes. Robust Security Measures: It ensures the safety of stored information with robust security measures, including encryption and data protection. Ease of Use: It boasts an easy-to-use interface and excellent customer support. Novel Features: It has some novel features, including photo facial recognition powered by artificial intelligence and the ability to link services such as Facebook and Google Drive. These features make BigMIND an excellent choice among data management tools in 2024 for decision-makers in the IT and data management sectors of an organization looking for secure, efficient, and scalable insight-driven storage solutions. Cloud Object Storage by Aruba Aruba’s Cloud Object Storage offers a range of benefits for organizations managing cloud data storage and analysis: High Storage Power: Aruba’s Cloud Object Storage offers high storage power, enabling real-time data analytics that accelerate insights and generate business value. Resilient System: Its resilient, self-healing system ensures no downtime during updates, optimizing operational efficiency. Parallel Architecture: The parallel architecture handles large volumes of traffic and requests per second, accelerating data processing. Enhanced Data Security: Its distributed intelligence system eliminates vulnerabilities and improves data security. S3-Compatible API: Lastly, its S3-compatible API adapts to customer needs in real-time, providing a flexible, efficient solution for data management. With these features, Aruba’s Cloud Object Storage emerges as an outstanding option for IT and data management sector executives seeking secure, efficient, and scalable cloud data storage solutions and data storage management tools. Cloudian HyperStore Cloudian HyperStore is an enterprise object storage solution. It offers a range of benefits for organizations managing cloud data storage and analysis: Performance Maximization: It maximizes the performance of AI workloads with an infinitely scalable data lake, enabling real-time data analytics that accelerate insights and generate business value. Robust Data Protection: It ensures robust data protection with military-grade security and data immutability. Simplified Management: It simplifies management and reduces costs through unified file and object consolidation. Geo-Distributed Architecture: Its geo-distributed architecture allows for storage deployment anywhere, optimizing data availability and performance. Complete Data Control: Cloudian offers complete control over data location while providing the scale and simplicity of cloud-native data management. These features make Cloudian HyperStore ideal for organizations looking for secure, efficient, and scalable cloud data storage solutions and a tool for storing and organizing data. DataCore Software-Defined Storage DataCore’s Software-Defined Storage (SDS) offers a range of benefits for organizations managing cloud data storage and analysis: Flexibility: It separates provisioning, data protection, and data placement functions from physical hardware. This feature allows organizations to upgrade, expand, or replace storage hardware without disrupting operational procedures. Cost Optimization: It optimizes IT costs through automation across hybrid storage and offers the freedom to choose any storage vendor, model, or type. Performance Enhancement: It enhances application response speed while lowering hardware spending. Advanced Caching and Parallel I/O: Its advanced caching and patented parallel I/O technology eliminate critical bottlenecks in I/O processing, crucial for faster hosts and flash arrays. Comprehensive Metrics: It provides an impressive array of storage metrics for disks and DataCore servers. These features make DataCore SDS one of the top tools for future data management for secure, efficient, and scalable cloud data storage. DefendX Mobility DefendX Mobility, a solution for cloud data storage management, offers several advantages for organizations: Cost Efficiency: It minimizes file storage costs by redirecting storage growth to less expensive on-premise or cloud-based storage solutions. Enhanced Backup: It enhances backup efficiency through seamless, open, policy-based tiering and archiving. Risk Reduction: It reduces risk and enables disaster tolerance through off-site and cloud-based copies of important data. Vendor Independence: It eliminates vendor lock-in through its standards-based, open software architecture and file migration. Simplified Adoption: It simplifies adoption with a seamless user experience and a phased implementation schedule. These capabilities make DefendX Mobility ideal for decision-makers looking for secure, efficient, and scalable cloud data storage solutions. Fusion Connect: Managed Communications Fusion Connect, a Managed Connectivity Provider (MCP), offers a suite of benefits for organizations managing cloud data storage and analysis: Optimized Connectivity: It maximizes network uptime, ensuring uninterrupted access to cloud-stored data for seamless data analysis. Secure Communications: With comprehensive Unified Communications tools, it facilitates secure virtual meetings, file sharing, and calls from any device. Enhanced Productivity: Streamlining communication across all functions of an organization boosts productivity. Reliable Performance: Delivering the fastest network and wireless speeds enhances the efficiency of data analysis processes. Scalable Solutions: Its services are scalable, catering to the evolving needs of organizations in managing cloud data storage. These features make Fusion Connect ideal for organizations looking for secure, efficient, and scalable cloud data storage solutions. Kdan Cloud Kdan Cloud is a robust solution for cloud data storage management. It offers significant features that enhance an organization’s data analysis capabilities. Streamlined Organization: It allows users to efficiently manage and organize documents, PDF files, animations, videos, and other projects. Enhanced Collaboration: It fosters seamless collaboration among team members with features like link sharing and shared folders. Secure Storage: It ensures the security of user data with TLS/SSL and RSA encryption and offers password protection for shared files. Integrated Functionality: It is fully integrated with other Kdan products, including PDF Reader, Animation Desk, NoteLedge, Markup, and Write-on Video. Accessible Anytime, Anywhere: Access files on Kdan Cloud remotely anytime, facilitating on-the-go data analysis. These functionalities of Kdan Cloud provide data that is secure and organized. Thus, encouraging collaborative work environments. MinIO MinIO is a high-performance, cloud-native object storage system that lets organizations access robust data analysis capabilities: Efficient Data Management: It ensures data integrity and reliability through inbuilt erasure-code and bitrot protection. Scalability: Its multi-tenant scalability makes it ideal for large-scale data storage and analysis. Versatile Integration: It integrates seamlessly with data analytics platforms, providing a high-throughput backend for streaming data analytics. Hardware Agnostic: Its storage hardware-agnostic feature allows easy deployment across various infrastructures. Enhanced Data Analysis: It optimizes data processing by separating computing and storage. This promotes the development of well-informed business strategies and effective data management. These characteristics provide dependable and easily accessible data to business leaders. Thus, driving informed business strategies and fostering efficient data management. Nasuni Nasuni is a cloud-native file data platform that offers excellent features to enhance an organization’s data analysis capabilities. Efficient Data Management: It enables end-to-end retention of extended metadata, reducing the time spent searching for content. Scalability: It delivers effortless scalability, which increases business productivity within a unified administrative experience. Versatile Integration: It integrates with AWS, enabling customers to build advanced solutions for unstructured data management. Secure Data: It uses native multi-factor authentication to protect data. Enhanced Data Analysis: The Nasuni Analytics Connector allows companies to leverage the strengths of their existing cloud services tools, turning unstructured data into big data. These features guide business leaders to chalk out innovative business approaches while supporting effective data management. OneBlox OneBlox is a powerful solution for cloud data storage management. It offers a suite of features that can significantly enhance an organization’s data analysis capabilities: Efficient Data Management: It uses a comprehensive replication engine and other features. These include Continuous Data Protection (CDP) to protect data and present a unified view of the storage environment. Scalability: It uses a scale-out ring architecture, enabling the global file system to scale from a few TBs to hundreds of TBs without requiring application reconfiguration. Versatile Integration: It integrates seamlessly with backup and recovery offerings from Symantec, Veeam, CommVault, and Unitrends. Secure Data: It provides RAID-less protection against multiple drive failures or multiple node failures by creating three copies of every object for redundancy. Enhanced Data Analysis: It accelerates its object metadata access with a built-in SSD. This helps deliver inline deduplication, continuous data protection, remote replication, and seamless scalability to SMB and NFS-based applications. These features give decision-makers secure, organized, and accessible data to support corporate goals and improve data management. Qlik Replicate Qlik Replicate is a powerful solution for cloud data storage management that can boost an organization’s data analysis capabilities: Efficient Data Ingestion: It provides real-time data replication, ingestion, and streaming via change data capture across various heterogeneous databases, data warehouses, and data lake platforms. Scalability: It is designed to scale and support large-scale enterprise data replication scenarios with a scalable multi-server, multi-task, and multi-threaded architecture. Versatile Integration: It offers swift data loading into numerous data stores or destinations. It also enables easy distribution between endpoints. Secure Data: It uses a “Click-2-Replicate” design that simplifies the replication process by automating the steps required to build a replication solution. Enhanced Data Analysis: Its real-time data integration facilitates data integration between different systems or applications across the organization to ensure that data is consistent and up-to-date. Qlik Replicate’s secure, organized, and accessible data helps decision-makers to drive informed business strategies. Additionally, it promotes efficient data management with an intelligent data analysis tool. Redstor Backup for Microsoft 365 Redstor Backup for Microsoft 365 is a complete solution for cloud data storage management. It can improve an organization’s data analysis capabilities with these features: Efficient Data Management: It allows backing up OneDrive, SharePoint, Exchange, Teams, OneNote, Class and Staff Notebooks data seamlessly from Microsoft to the Redstor cloud. Instant Recovery: Its innovative InstantData technology enables businesses to swiftly resume their operations within minutes by providing instant recovery of any file. Secure Data: It uses advanced AI-powered technology to safeguard Microsoft Office 365 user data. Compliance: It assists customers in complying with the necessary regulations by supporting region-based data processing and storage. Centralized Management: Efficiently manage the protection of all Microsoft Office 365 apps and other Redstor products through a single, intuitive, multi-tenant app. These features let decision-makers grasp secure, organized, and accessible data, to drive innovative business plans and improve data management. StorPool StorPool, a high-performance, software-defined storage system enhances data analysis for organizations: Efficient Data Management: It uses advanced replication and end-to-end data integrity mechanisms, ensuring data reliability and availability. Scalability: Its scale-out architecture allows the global file system to scale from a few TBs to hundreds of TBs without requiring application reconfiguration. Versatile Integration: It integrates seamlessly with various platforms, providing a high-throughput backend for streaming data analytics. Secure Data: It uses a proprietary 64-bit end-to-end data integrity checksum to protect customers’ data. Enhanced Data Analysis: Its real-time data integration ensures data consistency across the organization by integrating systems and applications. These features of one of the top data analysis tools for storage management equip the leaders with reliable and scalable data to drive informed business plans and effective data management. Storj Storj, a decentralized cloud storage solution, offers many benefits for organizations managing cloud data storage and analysis. Enhanced Security: It employs multi-layered encryption and edge-based access management, ensuring maximum privacy and setting a new standard in data security. Superior Performance: Its performance is equivalent to or can exceed that of centralized providers, facilitating rapid global file access. Enterprise SLAs: It provides enterprise-level service-level agreements, ensuring reliable and consistent service. Cost-effective: Its distributed model offers a cost-effective solution for data storage and analysis. Eco-friendly: Its use of spare capacity for data storage makes it a greener alternative to traditional cloud storage. Storj is an ideal recommendation for decision-makers seeking sustainable cloud data storage solutions from the top data management tools. New Technology Trends in Cloud Data Storage Management The future of cloud storage management relies on emerging technological developments. These include the use of multi-cloud and hybrid cloud structures, as well as the rise of NVMe-oF. These trends are transforming the storage and management of data. Comparing the features of tools using a storage management software comparison guide can be helpful. The goal is to get rid of data silos, manage the flood of unstructured data, and balance performance, resilience, efficiency, and simplicity. Keeping up with these upcoming developments in storage management trends is important for successfully managing storage while dramatically saving costs.

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What Is Cloud-Native and Why Does it Matter for CI

Article | February 11, 2020

Continuous intelligence (CI) relies on the real-time analysis of streaming data to produce actionable insights in milliseconds to seconds. Such capabilities have applications throughout a business. In today’s dynamic marketplace, new CI applications that use data from various sources at any given time might be needed on very short notice.The challenge is how to have the flexibility to rapidly develop and deploy new CI applications to meet fast-changing business requirements. A common approach employed today is to use a dynamic architecture that delivers access to data, processing power, and analytics capabilities on demand. In the future, solutions also will likely incorporate artificial intelligence applications to complement the benefits of traditional analytics. Increasingly, cloud-native is the architecture of choice to build and deploy AI-embedded CI applications. A cloud-native approach offers benefits to both the business and developers. Cloud-native applications or services are loosely coupled with explicitly described dependencies.

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The Manufacturing Sector Experiences More Attacks in the Cloud than Any Other Industry

PR Newswire: | January 19, 2024

Netwrix, a cybersecurity vendor that makes data security easy, today revealed additional findings for the manufacturing sector from its survey of 1,610 IT and security professionals across more than 100 countries. According to the survey, 64% of companies in the manufacturing sector suffered a cyberattack during the preceding 12 months, which is similar to the finding among organizations overall (68%). However, it turned out that the manufacturing sector experiences more cloud infrastructure attacks than any other industry surveyed. Among manufacturing companies that detected an attack, 85% spotted phishing in the cloud compared to only 58% across all verticals; 43% faced user account compromise in the cloud as opposed to 27% among all industries; and 25% dealt with data theft by hackers in the cloud compared to 15% for organizations overall. "The manufacturing sector relies heavily on the cloud to work with their supply chain in real time. This makes their cloud infrastructure a lucrative target for attackers — infiltrating it enables them to move laterally and potentially compromise other linked organizations, as happened to one the world's top meat processing companies. Credential compromise or malware deployed via a phishing email is just the beginning of the attack," says Dirk Schrader, VP of Security Research at Netwrix. "The attack surface in the cloud is always expanding, so it's critical for manufacturing companies to adopt a defense-in-depth approach," adds Ilia Sotnikov, Security Strategist at Netwrix. "First, they must rigorously enforce the principle of least privilege to limit access to sensitive data, which ideally includes just-in-time access to eliminate unnecessary entry points for adversaries. They also need to gain deep visibility into when and how critical data in the cloud is being used so that IT teams can promptly spot potential threats. Finally, they need to be prepared to minimize the damage from incidents by having a comprehensive response strategy that is regularly exercised and updated." To learn more about security trends, check out the complete 2023 Hybrid Security Trends Report. About Netwrix Netwrix makes data security easy. Since 2006, Netwrix solutions have been simplifying the lives of security professionals by enabling them to identify and protect sensitive data to reduce the risk of a breach, and to detect, respond to and recover from attacks, limiting their impact. More than 13,500 organizations worldwide rely on Netwrix solutions to strengthen their security and compliance posture across all three primary attack vectors: data, identity and infrastructure.

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TRG Screen Announces Acquisition of Xpansion for Reference Data Usage Management

PR Newswire: | January 25, 2024

TRG Screen, the leading provider of enterprise subscription spend and usage management software, today announced it has acquired Xpansion, the leading provider of cloud-based solutions for reference data usage monitoring in the financial services industry. The acquisition of Xpansion will further solidify TRG Screen's position as a global market leader in market data management solutions. Xpansion – established in 2013 – is focused on empowering data operations teams to proactively manage their usage, control costs and optimize data workflows. Xpansion's offerings include Xmon, Xprocess and Xplore, and provide real-time analytics, giving clients unprecedented transparency, visibility and control into their reference data usage. This deal consolidates TRG Screen's unique position as the only provider of enterprise subscription management capabilities spanning the whole spectrum of market data optimization, from spend and inventory tracking, through to usage and enquiry management, exchange reporting and compliance. "Xpansion and TRG Screen have been partners for many years. Bringing Xpansion into the TRG Screen family is a very logical next step for both companies, given our strong relationship and shared view that the industry demand for integrated usage management solutions is going to continue to grow," said TRG Screen CEO Leigh Walters. "Xpansion is an established firm with excellent customer satisfaction and retention, and highly experienced and industry respected leadership. We are very excited at the opportunities this acquisition brings." "We are thrilled to be joining TRG Screen," said Xpansion co-founder and CEO Amjad Zoghbi. "Reference data usage is one of the most complex aspects of market data management, and managing it correctly is essential to maintaining contractual compliance and ensuring clients are right-sizing their usage based on actual consumption and business need. I'm very pleased that Xpansion's customers, and team, will now be part of the best-of-breed solution with the industry's leading provider of market data management solutions." The acquisition demonstrates TRG Screen's ongoing commitment to servicing the needs of market data consumers, vendors and exchanges. Financial terms of the transaction were not disclosed. About TRG Screen TRG Screen is the leading provider of enterprise subscription management solutions. Founded in 1998, TRG Screen is uniquely differentiated by its ability to monitor both spend and usage of data and information services including market data, research, software licenses, consulting and other corporate expenses. TRG Screen's solutions provide its customers with full transparency into their vendor relationships and their subscription spend and usage, enabling them to optimize their enterprise subscriptions. TRG acquired Priory Solutions in 2016, Screen Group in 2018, Axon Financial Systems in 2019, Market Data Insights in 2020, and Jordan & Jordan's Market Data Reporting (MDR) business in 2021 and with these acquisitions is now positioned as the global market leader in the financial, legal, and professional services markets. TRG Screen's product portfolio includes subscription spend, usage, enquiry and compliance solutions. For more information visit trgscreen.com. Follow TRG Screen on LinkedIn, @TRG Screen, and on Twitter, @trgscreen. About Xpansion Xpansion delivers next-generation reference data solutions that empower financial institutions to streamline their reference data operations, reduce costs, enhance data quality, and improve data discovery. With a focus on customer satisfaction, continuous innovation and quick time to value, Xpansion is a trusted partner for financial institutions in the buy- and sell-side as well as solution providers in the industry.

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DriveNets and Acacia Announce Joint Network Cloud 400G ZR/ZR+ Solution

PR Newswire | January 16, 2024

DriveNets – a leader in innovative networking solutions – and Acacia today announced the completion of integrating multiple Acacia 400G ZR/ZR+ optical modules with DriveNets' Network Cloud platform. The combined DriveNets-Acacia solution will ensure quick adoption of this innovative disaggregated networking solution and accelerate large-scale network rollouts. DriveNets and Acacia have joint Tier-1 operator customers who will deploy the joint solution. Last September, DriveNets announced that Network Cloud was the first Disaggregated Distributed Chassis/Backbone Router (DDC/DDBR) to support ZR/ZR+ optics as native transceivers that can be inserted into any Network Cloud-supported white boxes. The combined Acacia-DriveNets solution announced today adds the initial collaboration between the companies, offering several benefits: The joint solution will deliver significant simplicity and cost savings by collapsing Layer-1 to Layer-3 communications into a single platform. The use of 400ZR/ZR+ eliminates the need for standalone optical transponders, lowering the number of boxes in the solution, and reducing operational-overhead, floor-space, and power. DriveNets and Acacia worked together to ensure that the DriveNets NOS (DNOS) supports the 400ZR/ZR+ modules beyond simply plugging them into the box. The collaboration ensures the 400ZR/ZR+ modules can be tunable, configurable, and manageable by DriveNets Network Cloud software. This integration also goes beyond interoperability validation. DriveNets Network Cloud offers full software support for the Acacia modules, including configuration (channel and power), monitoring, and troubleshooting for Acacia Bright 400ZR+ transceivers with transmit power greater than +1dBm. "Today's announcement is further proof of the growth of disaggregated networking solutions and demonstrates that more operators are looking for open solutions that will allow them to mix elements from multiple vendors and avoid being locked to a specific end-to-end vendor solution," said Nir Gasko, Vice President, Global Strategic Alliances for DriveNets. "By collaborating with Acacia, we enable our joint customers to quickly adopt cutting-edge technologies and evolve their networks faster." "Partnering with DriveNets on this joint solution will allow network operators to deploy Acacia's high-volume standard-based coherent pluggable portfolio in open disaggregated networks with less effort," said Fenghai Liu, Senior Director of Product Line Management for Acacia. "Through this collaboration customers can achieve significant capex and opex savings with router-based coherent optics." DriveNets Network Cloud is being adopted by more Tier-1 operators around the world. By partnering with world-class providers like Acacia, the company continues to expand its ecosystem to support its customers' desire to mix-and-match hardware and software from multiple vendors. Learn more about DriveNets here. About DriveNets DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks, streamlining network operations, increasing network performance at scale, and improving their economic model. DriveNets' solutions – Network Cloud and Network Cloud-AI – adapt the architectural model of hyperscale cloud to telco-grade networking and support any network use case – from core-to-edge to AI networking – over a shared physical infrastructure of standard white-boxes, radically simplifying the network's operations and offering telco-scale performance and reliability with hyperscale elasticity. DriveNets' solutions are currently deployed in the world's largest networks.

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The Manufacturing Sector Experiences More Attacks in the Cloud than Any Other Industry

PR Newswire: | January 19, 2024

Netwrix, a cybersecurity vendor that makes data security easy, today revealed additional findings for the manufacturing sector from its survey of 1,610 IT and security professionals across more than 100 countries. According to the survey, 64% of companies in the manufacturing sector suffered a cyberattack during the preceding 12 months, which is similar to the finding among organizations overall (68%). However, it turned out that the manufacturing sector experiences more cloud infrastructure attacks than any other industry surveyed. Among manufacturing companies that detected an attack, 85% spotted phishing in the cloud compared to only 58% across all verticals; 43% faced user account compromise in the cloud as opposed to 27% among all industries; and 25% dealt with data theft by hackers in the cloud compared to 15% for organizations overall. "The manufacturing sector relies heavily on the cloud to work with their supply chain in real time. This makes their cloud infrastructure a lucrative target for attackers — infiltrating it enables them to move laterally and potentially compromise other linked organizations, as happened to one the world's top meat processing companies. Credential compromise or malware deployed via a phishing email is just the beginning of the attack," says Dirk Schrader, VP of Security Research at Netwrix. "The attack surface in the cloud is always expanding, so it's critical for manufacturing companies to adopt a defense-in-depth approach," adds Ilia Sotnikov, Security Strategist at Netwrix. "First, they must rigorously enforce the principle of least privilege to limit access to sensitive data, which ideally includes just-in-time access to eliminate unnecessary entry points for adversaries. They also need to gain deep visibility into when and how critical data in the cloud is being used so that IT teams can promptly spot potential threats. Finally, they need to be prepared to minimize the damage from incidents by having a comprehensive response strategy that is regularly exercised and updated." To learn more about security trends, check out the complete 2023 Hybrid Security Trends Report. About Netwrix Netwrix makes data security easy. Since 2006, Netwrix solutions have been simplifying the lives of security professionals by enabling them to identify and protect sensitive data to reduce the risk of a breach, and to detect, respond to and recover from attacks, limiting their impact. More than 13,500 organizations worldwide rely on Netwrix solutions to strengthen their security and compliance posture across all three primary attack vectors: data, identity and infrastructure.

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TRG Screen Announces Acquisition of Xpansion for Reference Data Usage Management

PR Newswire: | January 25, 2024

TRG Screen, the leading provider of enterprise subscription spend and usage management software, today announced it has acquired Xpansion, the leading provider of cloud-based solutions for reference data usage monitoring in the financial services industry. The acquisition of Xpansion will further solidify TRG Screen's position as a global market leader in market data management solutions. Xpansion – established in 2013 – is focused on empowering data operations teams to proactively manage their usage, control costs and optimize data workflows. Xpansion's offerings include Xmon, Xprocess and Xplore, and provide real-time analytics, giving clients unprecedented transparency, visibility and control into their reference data usage. This deal consolidates TRG Screen's unique position as the only provider of enterprise subscription management capabilities spanning the whole spectrum of market data optimization, from spend and inventory tracking, through to usage and enquiry management, exchange reporting and compliance. "Xpansion and TRG Screen have been partners for many years. Bringing Xpansion into the TRG Screen family is a very logical next step for both companies, given our strong relationship and shared view that the industry demand for integrated usage management solutions is going to continue to grow," said TRG Screen CEO Leigh Walters. "Xpansion is an established firm with excellent customer satisfaction and retention, and highly experienced and industry respected leadership. We are very excited at the opportunities this acquisition brings." "We are thrilled to be joining TRG Screen," said Xpansion co-founder and CEO Amjad Zoghbi. "Reference data usage is one of the most complex aspects of market data management, and managing it correctly is essential to maintaining contractual compliance and ensuring clients are right-sizing their usage based on actual consumption and business need. I'm very pleased that Xpansion's customers, and team, will now be part of the best-of-breed solution with the industry's leading provider of market data management solutions." The acquisition demonstrates TRG Screen's ongoing commitment to servicing the needs of market data consumers, vendors and exchanges. Financial terms of the transaction were not disclosed. About TRG Screen TRG Screen is the leading provider of enterprise subscription management solutions. Founded in 1998, TRG Screen is uniquely differentiated by its ability to monitor both spend and usage of data and information services including market data, research, software licenses, consulting and other corporate expenses. TRG Screen's solutions provide its customers with full transparency into their vendor relationships and their subscription spend and usage, enabling them to optimize their enterprise subscriptions. TRG acquired Priory Solutions in 2016, Screen Group in 2018, Axon Financial Systems in 2019, Market Data Insights in 2020, and Jordan & Jordan's Market Data Reporting (MDR) business in 2021 and with these acquisitions is now positioned as the global market leader in the financial, legal, and professional services markets. TRG Screen's product portfolio includes subscription spend, usage, enquiry and compliance solutions. For more information visit trgscreen.com. Follow TRG Screen on LinkedIn, @TRG Screen, and on Twitter, @trgscreen. About Xpansion Xpansion delivers next-generation reference data solutions that empower financial institutions to streamline their reference data operations, reduce costs, enhance data quality, and improve data discovery. With a focus on customer satisfaction, continuous innovation and quick time to value, Xpansion is a trusted partner for financial institutions in the buy- and sell-side as well as solution providers in the industry.

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DriveNets and Acacia Announce Joint Network Cloud 400G ZR/ZR+ Solution

PR Newswire | January 16, 2024

DriveNets – a leader in innovative networking solutions – and Acacia today announced the completion of integrating multiple Acacia 400G ZR/ZR+ optical modules with DriveNets' Network Cloud platform. The combined DriveNets-Acacia solution will ensure quick adoption of this innovative disaggregated networking solution and accelerate large-scale network rollouts. DriveNets and Acacia have joint Tier-1 operator customers who will deploy the joint solution. Last September, DriveNets announced that Network Cloud was the first Disaggregated Distributed Chassis/Backbone Router (DDC/DDBR) to support ZR/ZR+ optics as native transceivers that can be inserted into any Network Cloud-supported white boxes. The combined Acacia-DriveNets solution announced today adds the initial collaboration between the companies, offering several benefits: The joint solution will deliver significant simplicity and cost savings by collapsing Layer-1 to Layer-3 communications into a single platform. The use of 400ZR/ZR+ eliminates the need for standalone optical transponders, lowering the number of boxes in the solution, and reducing operational-overhead, floor-space, and power. DriveNets and Acacia worked together to ensure that the DriveNets NOS (DNOS) supports the 400ZR/ZR+ modules beyond simply plugging them into the box. The collaboration ensures the 400ZR/ZR+ modules can be tunable, configurable, and manageable by DriveNets Network Cloud software. This integration also goes beyond interoperability validation. DriveNets Network Cloud offers full software support for the Acacia modules, including configuration (channel and power), monitoring, and troubleshooting for Acacia Bright 400ZR+ transceivers with transmit power greater than +1dBm. "Today's announcement is further proof of the growth of disaggregated networking solutions and demonstrates that more operators are looking for open solutions that will allow them to mix elements from multiple vendors and avoid being locked to a specific end-to-end vendor solution," said Nir Gasko, Vice President, Global Strategic Alliances for DriveNets. "By collaborating with Acacia, we enable our joint customers to quickly adopt cutting-edge technologies and evolve their networks faster." "Partnering with DriveNets on this joint solution will allow network operators to deploy Acacia's high-volume standard-based coherent pluggable portfolio in open disaggregated networks with less effort," said Fenghai Liu, Senior Director of Product Line Management for Acacia. "Through this collaboration customers can achieve significant capex and opex savings with router-based coherent optics." DriveNets Network Cloud is being adopted by more Tier-1 operators around the world. By partnering with world-class providers like Acacia, the company continues to expand its ecosystem to support its customers' desire to mix-and-match hardware and software from multiple vendors. Learn more about DriveNets here. About DriveNets DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks, streamlining network operations, increasing network performance at scale, and improving their economic model. DriveNets' solutions – Network Cloud and Network Cloud-AI – adapt the architectural model of hyperscale cloud to telco-grade networking and support any network use case – from core-to-edge to AI networking – over a shared physical infrastructure of standard white-boxes, radically simplifying the network's operations and offering telco-scale performance and reliability with hyperscale elasticity. DriveNets' solutions are currently deployed in the world's largest networks.

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