10 B2B SaaS Marketing Strategies for 2021 to Ace the Race

B2B SaaS Marketing Strategies
After the pandemic hit us in 2020, most businesses have gradually shifted from physical or in-person interactions to a virtual platform. The situation accelerated the demand for better collaboration tools such as Software as a Service (SaaS). As a result, SaaS organizations offering all-inclusive services aim to grow in the coming years. Many organizations are leveraging the advantages of B2B SaaS marketing to sustain and excel at the competitive edge. During a conversation with Media 7, Stacey Witt, the Chief Marketing Officer at LoadSpring, said, “Our vendors and partners understand the agility and flexibility of our cloud platform and want their applications to be SaaS-enabled.”

SaaS businesses offer services starting from user authentication technology to cloud infrastructure. According to Gartner, Software as a service (SaaS) will remain the principal market segment, which is forecasted to grow to $ 151.1 Billion in 2021. Hence, 2021 is the best time to explore the benefits of SaaS and improve the marketing strategies to occupy a more significant share of the flourishing global market.

What is B2B SaaS Marketing?

B2B SaaS stands for business-to-business Software-as-a-Service. B2B SaaS is a cloud-based software distribution model used by businesses for numerous operations such as accounting, office productivity, customer relationship management (CRM), and other work-related activities. It is licensed software available on a subscription basis from a third-party provider, which hosts the applications and allows access to the customers through the internet. B2B SaaS Marketing is simply the technique used to market SaaS.  As a flexible, scalable, and cost-efficient platform, SaaS triggers the attention of businesses to enter the market. Salesforce, the popular customer relationship management (CRM) tool, is the ideal example of a SaaS company.

SaaS companies have experienced a significant surge in client acquisition since the beginning of the pandemic and expect a steady rise in the future. Earlier, the marketers have focused on experimenting latest trends for business growth, but now considering its increasing demand across various businesses, a strategic approach is the need of the hour. Suppose you have not prepared your B2B SaaS marketing strategy yet in 2021. In that case, it is high time to start now by selecting the technics that are proven and can yield effective results by converting your marketing efforts highest rates possible.

10 Imperative B2B SaaS Marketing Strategies for 2021

According to BetterCloud, today, entrepreneurs of all sizes estimate that 70% of the business apps they use are SaaS-based. However, the forecast says that the numbers will rise to 85% by 2025.

SaaS platforms have made their products more scalable and subscription-based to handle the rising demand. However, if your SaaS marketing efforts are not up to the mark, your product can get lost in the mass. Here are the ten critical SaaS growth strategies to help you contend, survive, stay relevant, and succeed in the competitive world.

Emphasize Competitor Analysis

Competitor analysis is one of the essential parameters for preparing marketing strategies, and SaaS Marketing is no exception. It helps identify the major competitors and study their product, sales, marketing, and customer retention strategies. Competitor analysis will help you to develop better practices than your competitors and expand accordingly. By performing competitor analysis, you can identify the product's unique value proposition and stay updated on the latest trends. It also helps to analyze competitor's actions for better performance. As a result, you can assess and identify areas of betterment and opportunities in the market. Additionally, you can track the customer reviews on the products of your competitors and identify the gaps.

Focus on SaaS Content Marketing

Posting engaging content has a direct or indirect impact on your marketing outcome. A robust content marketing strategy helps create brand awareness, connect with the prospects, improve ranking, establish domain knowledge, and boost traffic engagement ratio. The tone of confidence in your content can help you gain customer reliance and be a potential gamechanger in a challenging SaaS ecosystem. In addition, you can use reprocessed content to target diverse audiences.

According to the ProfitWell study, SaaS companies that use content marketing experience 30% higher growth rates and 5-10% better retaining capacities. To ensure a robust SaaS content marketing strategy, you should:
  • Regularly update your content
Compelling and engaging content helps to nurture leads. To accommodate the challenges and demand fluctuations in 2020, many brands updated their content strategy to accentuate credibility, empathy, and value. Moreover, since social media use has increased noticeably due to the pandemic, organizations have also modified their communication strategy on social media. Updating current blog posts with latest information will benefit your SaaS marketing efforts and boost them on different networks to gain traffic. Insightful and up-to-date content also drives social media subscribers and followers.
  • Study your target’s preference
The more you know your target audience, the better way you can design content. Therefore, it is significant to segregate the targets based on their preferences to get relevant information and messages and successfully build subscribed audience database. You can also study their content preferences by collecting customer data to plan an effective marketing strategy for B2B SaaS.
  • Track your SaaS Content marketing performance
After content preparation, tracking the performance of your creation is vital. This performance analysis will help to change your content strategy for better lead generation. You can use Google Analytics to determine the lead generation and conversion path post you have set your goals. You can also use Google Analytics to measure the performance of your content by analyzing the sequence of users' actions on your website.

Implement and Maintain Expert SEO Strategy

A robust SEO strategy is a must for a successful B2B SaaS marketing strategy. That is because more than half of all website traffic comes from organic searches on Google. To ensure your SaaS platform is trust-worthy and index-worthy, you need to consider three types of SEO marketing strategy:
  • Technical SEO: Technical SEO refers to optimizing the on-site HTML components to allow Google crawlers to locate and index your website pages easily. It also makes your SEO performance effective by good loading speed.
  • On-Page SEO: Creating keyword-rich, compelling, and valuable content comes under the on-page SEO strategy. It helps Google crawlers understand the subject of your page so that they can be precisely indexed for relevant search queries.
  • Off-Page SEO: Improving your site's backlink profile is related to the off-page SEO strategy for B2B SaaS marketing so that Google identifies it as a highly authoritative and trustworthy source.

Implementing an SEO strategy is only the primary step. However, the only means to maintain search engine rankings is to constantly optimize your website according to the latest ranking criteria.

Optimize PPC Campaign

Advertising is one of the best and beneficial digital marketing tactics for SaaS marketers. Investing in Google and social media ads is a good idea if you have a decent marketing budget but not enough organic reach. You can target prospects through advertising, and with the right deal, you can get an assured ROI.

To optimize your PPC campaign, you need to run an A/B test for best placement, copy keywords, and target the right audience. Further, your ads should be keyword-enriched for better visibility on search engine result pages. Then, you can use PPC tools to expand visibility. In addition, you need to track your ad performance and reform your strategies if required. Above all, your ads should convey the value proposition and include compelling calls-to-action (CTAs) to drive the visitor's action.

Attractive Website is the key

Your website is one of the most vital marketing assets, and developing a dynamic website is the primary stepping stone for planning a robust marketing strategy. It is the face of your brand and the center of all your activities. Without a good website, your SaaS organization will face issues with conversion rates. As websites play a critical role in promoting the value of your product, it is amongst essential SaaS marketing techniques. Further, when you combine marketing goals with sales strategy, you clarify what will make it best for your SaaS business. If your website is attracting a lot of qualified traffic, it can proportionately increase the conversion list.

Create an ABM (Account-Based Marketing) Strategy

Account-Based-Marketing (ABM) helps organizations to grow in the market. An ABM strategy allows you to identify targets, create an email database, send targeted emails, ads, direct mail, and share success stories. Account-based marketing ensures that the marketers connect with pre-qualified leads and interact with them on a personalized level. With account-based marketing, marketers can gather volumes of information on each business and communicate with them based on their earlier activities.

SaaS Lead Generation and Conversion

Lead generation is one of the most significant yet most challenging parts of any SaaS business. Whatever strategies you implicate should head towards generating workable leads for your business. If your plan is not good enough to generate leads, you will not get new customers, and subsequently, your SaaS business will not grow. The lead generation technique for B2B SaaS is different from other marketing techniques because the product here does not have a physical existence. Hence, prospects have a choice of multiple alternatives on the internet. Inevitably, planning a robust lead generation tactic is crucial for B2B SaaS marketing.

Along with other marketing strategies, encouraging referrals and optimizing freemium strategy bring highly impactful results. When people decide to make a purchase, 88% of consumers trust the recommendations from family, friends, and colleagues. Viva-voce publicity can earn you many referrals and increase your sign-ups. In addition, freemium products always gain attraction. According to the global IT workforce management and optimization company, Blue Tree, 44% of SaaS companies offer a free demo. You can provide a core understanding of your product, yet you don't want to share so much away that most of your audience loses interest and drift away. Also, you must ease it out for freemium users to submit suggestions or report bugs, and you can utilize that information to optimize your overall marketing strategy.

Improve Your SaaS Pricing Structure

The pricing structure is one of the significant elements in SaaS marketing. It would help if you experiment with the prices based on the best for your business and audiences. With the evolution of your business, you need to consider the types of entrepreneurs who use your service and the features that they emphasize.

A well-structured pricing page is beneficial for SaaS marketers that clearly shows the required information for the target audiences to complete the conversion process. For example, if you offer a discount/deal/money-back guarantee, make sure it is in bold terms on the top of the page. Further, you can also include time-limited clauses to create urgency and intensify conversions.

Get Reviewed on Top Third-Party Review Sites

According to G2 and Heinz Marketing, 92% of B2B buyers mostly purchase after reading a trusted review. B2B SaaS marketing teams must pay special attention to this because customers rely on crucial reviews for efficient decision-making before investing. Businesses refer to sites like G2 when they are researching products. These sites provide reviews from similar entrepreneurs and attract high-intent buyers who will eventually make a purchase decision. These sites let them learn about their experiences so they can find the best fit for their brand. Make sure to list your business page on any relevant review site and optimize your information and meta description with keywords related to your brand.

Collaboration is Critical

Merging your marketing resources with a peer entrepreneur can increase business growth for both of your brands. Collaboration in the B2B SaaS marketplace can be a cost-effective way of enhancing your business and reaping long-term benefits. Here are some ways of collaboration:
  • Co-marketing: When two or more brands jointly promote a content piece, special offer, or an event, it is known as co-marketing. This form of collaboration helps you to expand your reach to new communities through new channels. Further, it allows you to gain more social media followers or newsletter subscriptions.
  • Partner or reseller: Partnering with businesses with similar customer bases can be risky if your organization has a limited number of internal sales resources. The successful SaaS partner programs must include free joining, co-marketing support, and a partner portal to manage relationships. If your partners are satisfied, they might just become your most active community members.
  • Event Partnership: Due to the impact of the pandemic on social gatherings, the events space has experienced more disruption since last year. Although event partnerships existed before Covid-19, the protocols and formats have changed, in 2021. It is vital for businesses to either organize or participate in an event to reach audiences. An event partner can promote your brand through their marketing channels.

Conclusion

The SaaS marketplace is a competitive arena, and with robust B2B SaaS marketing techniques, you can elevate your business. Deloitte says, 93% of CIOs have adopted or planning to adopt cloud SaaS. Further, due to the pandemic, SaaS marketers are about to witness advanced ways of connecting with target audiences. With the 10 SaaS marketing tactics discussed in this article, you can amplify the number of visitors to your website and enhance the possibility to produce a higher ROI and expand the client base. Tracking the performances of these strategies is also significant to optimize them for even better results in SaaS marketing and customer retention.

Frequently Asked Questions

Why is SaaS so effective?

SaaS is a cost-efficient, easy to maintain, flexible, agile and scalable cloud platform. SaaS applications consume less bandwidth enabling optimum time-management capability. Further, the SaaS vendors handle the maintenance responsibilities, which reduces work hours and downtime. Additionally, web-based usability allows access to SaaS easily from any location with internet connectivity.

How do companies use SaaS?

SaaS, or software as a service, is a cloud-based centrally hosted software delivery model. SaaS applications are licensed to customers via a subscription plan. A SaaS company allows the application to be accessed over the internet by maintaining servers, databases, and software. The users can access the software from anywhere in any device.

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Leading Data Warehouse Software Vendors That Enhance Analytics

Article | February 15, 2024

From amplified scalability to data transparency, top data warehouse software vendors boost businesses’ analysis capabilities. Learn how companies gain data agility with cloud data warehouse software. Contents 1. Understanding the Fundamentals of a Cloud Data Warehouse 2. Key Advantages of Data Warehousing for Businesses 3. Data Warehouse Strategies to Integrate and Analyze Data 4. Top Data Warehouse Software Vendors Offering Analytics Prowess 4.1 Dremio 4.2 Starburst 4.3 Firebolt 4.4 Lyftrondata 4.5 CData 4.6 Zap 4.7 Druid 4.8 TimeXtender 4.9 dbt Labs 4.10 Redwood Software 5. Final Thoughts 1. Understanding the Fundamentals of a Cloud Data Warehouse Representing a robust solution for handling and storing vast datasets, a cloud data warehouse offers businesses high convenience, quick data access, and remarkable flexibility. The data warehouse is essentially hosted in a cloud computing environment that empowers organizations to modify storage and processing as and when required without needing hardware upgrades. The growing prominence of the advanced setup today can notably be ascribed to its unparalleled accessibility, which allows companies to manage their data from any part of the world via internet access. Likewise, the warehouse’s core components include a centralized repository with distinct computing abilities, which enable scalable data retention and optimized resource allocation. Moreover, the data warehouse software boasts phenomenal data integration and handling tools, allowing businesses to link to diverse data sources, build datasets, set permissions, and run queries. It further boosts companies’ performances through parallel query processing, system backups, data encryption, etc. Moreover, supporting innovative analytics and insights, the cloud environment enables businesses to make data-backed decisions, augmenting their analytics prowess and driving high ROIs. 2. Key Advantages of Data Warehousing for Businesses From enhanced financial efficiencies to unmatched data access, data warehousing practices offer multiple benefits to businesses that allow sound decision-making and operational success. The chief merits of a data warehouse software include: Scalable Infrastructure for Unhindered Productivity With a cloud data warehouse, businesses can effortlessly adjust resources to handle diverse data processing requirements and scale up or down without bearing upgrade costs ascribed to traditional on-premises systems. By simply modifying payment schemes, companies can increase or decrease their computing power or storage, paying only for what they use. The unparalleled scalability further enables businesses to ensure undisturbed operations, faster innovations, and speed-to-market, benefiting from high agility in operations and augmenting business productivity. Quick Data Access Cloud data warehouses enhance data availability exponentially. They unify diverse data into a centralized repository, enabling users to access data quickly from anywhere in the world via web access. This flexible access, in turn, encourages remote work and collaboration endeavors, promoting real-time decision-making and augmenting operational responsiveness. Enhanced Visual Data Analysis With leading-edge business intelligence tools, advanced data warehouses support swift data processing, empowering businesses to extract crucial insights and analyze data in real time. The boosted analytics and data visualization abilities help companies make sound decisions and stay ahead of the curve. Cost-effectiveness A cloud data warehouse is a more economical substitute for on-premises systems. It works on a pay-as-you-go model, eliminating the need for physical hardware. Therefore, companies pay only for the computing resources and storage they use. Most data warehouse providers offer flexible pricing models, enabling businesses to maintain cost-efficient systems for data warehousing. Robust Security and Disaster Recovery A significant advantage of the cloud data warehouse is that it implements notable security measures like access controls, data encryption, and periodic security audits to protect sensitive business data and information from unauthorized breaches. It offers all-inclusive disaster recovery solutions, including scheduled backups and data replication across various geographic locations. Such features secure unhindered functions and data resilience in times of unanticipated interruptions. Performance Excellence Boasting features like distributed computing and parallel processing, cloud data warehouses guarantee elevated business performance as they quicken data analysis and query execution. From optimizing operations through automated tasks to eliminating the need for costly hardware investments, data warehouse setups on the cloud promise boosted productivity and efficiency. Impressive Integrations Cloud data platforms offer impressive integration capabilities, helping businesses connect with various data origins and third-party applications. Such incorporations expedite effective data reporting and analysis and augment businesses’ ability to extract valuable insights, showcasing the advantage of data warehouse integration and leading to better performance. Reliable Support and Ease-of-Use Established cloud data warehouse providers render round-the-clock support to businesses, ensuring uninterrupted operations and prompt problem resolutions. The warehouse, which comprises intuitive user interfaces, simplifies data access for non-technical teams, reducing dependency on IT staff and enabling the autonomous performance of data tasks, such as data reading, editing, and writing, through low-code or codeless platforms. 3. Data Warehouse Strategies to Integrate and Analyze Data Businesses employ various data warehousing techniques and strategies, like ETL or incremental loading, to maintain excellent quality in business processes and secure optimized performance. Here’s a breakdown of the prominent data warehouse strategies that companies leverage to derive crucial insights and gain remarkable scalability: Effective Metadata Categorization With strong metadata categorization, businesses can enhance data extraction and organization, simplifying data queries and augmenting accessibility. The centralized metadata management further documents data usage, lineage, and definitions, facilitating efficient data governance. The strategy helps stakeholders easily find and understand the required data, ensures compliance with data use regulations, and promotes data transparency and availability within the company. ETL Technique for Data Integration Through the ETL processes, i.e., extract, transform, load, data can be retrieved from diverse sources, transformed to match the warehouse schema, and loaded into the target system or data warehouse. This strategy is pivotal for incorporating data into the setup. It effectively streamlines data flows and allows businesses to conduct impactful data analysis. Data Segmentation and Indexing Also called ‘partitioning’, data segmentation involves dividing vast tables into easy-to-manage segments, maximizing data extraction, storage, and management. Each of these segments or ‘partitions’, therefore, holds a subset of the large table’s data, divided according to established criteria, like hash keys or value ranges. Indexing, likewise, allows speedy data retrieval based on specific criteria, as it creates systematized lists of the table’s fundamental values. Collectively, these promising strategies optimize query processing and database management, ensuring responsiveness with increasing data volumes. Data Modeling Strategy Data can be organized effectively for optimum querying by leveraging techniques like star or snowflake schemas. For instance, measurable data like sales can be stored in fact tables, while attributes like time or location are stored in dimension tables. Hence, the data modeling strategy makes it simpler to ask intricate questions about data, boosting performance and enabling easy-to-understand data analysis and exploration. Incremental Loading for Quicker Data Processing Another prominent data warehousing strategy is incremental loading. This strategy involves speeding up information handling processes by only making changes since the last data update. While the previous data remains unchanged, only new data gets added since the last load. Therefore, the approach reduces the time and resources needed for updating large datasets, promptly making the latest data available. It further strengthens real-time data analytics, where information changes regularly, allowing analysts to access the most recent information. Data Protection Implementing strong data security and governance is a critical data warehousing strategy. This strategy includes measures like role-based access control (RBAC), which limits who views the data. Such measures ensure high data integrity and safeguard it against unauthorized breaches or access. Furthermore, compliance with data laws and rules ensures that sensitive information is protected and best practices are adhered to. Query Enhancement The query optimization technique includes effectively organizing queries or questions so that maximum benefits may be derived from partitions, indexes, and materialized views that store precomputed results. The strategy benefits businesses by expediting query processing, allowing users to promptly get their answers, enhancing user experience, and facilitating complex analytical processes. Data Quality Assurance A prominent data warehousing strategy, data quality assurance relates to maintaining data accuracy, reliability, and conciseness. This involves various crucial measures, such as data examination, validation, and cleaning, which aim to mitigate errors that can influence analysis and decision-making. Such measures not only promise dependable findings but also result in optimal decisions. Data Presentation and Reporting A cloud data warehouse helps users make data-backed decisions and build their own dashboards and reports by converting complex data into valuable insights. Therefore, data presentation and reporting as a strategy help companies leverage business intelligence to ensure sound decisions and goal attainment. 4. Top Data Warehouse Software Vendors Offering Analytics Prowess Empowering businesses with spectacular analytics capabilities, the leading data warehouse software vendors ensure smarter decisions for companies. Here’s a list of the leading data warehouse software vendors promising robust analytics capabilities to businesses: 4.1 Dremio Dremio is an open, self-service SQL analytics platform provider that expedites time to insight, incorporating data lake adaptability with data warehouse performance. Relied on by leading organizations, the company empowers businesses by rendering seamless BI capabilities and allowing unified analytics across varied environments, like on-premises, hybrid, and cloud, for reduced costs. Furthermore, Dremio significantly boosts data management and ensures optimized data functions by streamlining data integration processes. The company facilitates the transformation of Hadoop workloads for sub-second queries by offering a Unified Lakehouse Platform. Dremio’s impressive features include its support for Apache Iceberg, which enables effective data handling with version control. It also can establish distributed data architectures, securing relevant data delivery across hybrid and cloud environments. From reducing ETL complexity to supporting AI endeavors with speedier data access, the company’s striking platform promises simplified data management and supports frictionless self-service analytics directly on data lakes via SQL Query Engine. 4.2 Starburst Starburst is a pioneering data warehouse software vendor that offers fast and adjustable data access solutions, leveraging the power of Trino, a premier SQL analytics engine. Renowned for its enterprise-grade reliability and promising a high-performance data lakehouse solution, the company aims to help customers overcome expensive, rigid, and slow data access constraints. The company’s platform effectively overcomes data silos problems, supports near real-time analytics, and adds to Trino’s capabilities by including tools to connect with diverse data sources, providing 24/7 support, and ensuring robust security. Starburst optimizes data management across traditional (on-premises) and cloud environments through its comprehensive products and features. For instance, the Starburst Galaxy multi-cloud platform allows users to leverage data warehouse-like performance and flexibility. Providing high-efficiency SQL queries directly on the data lake and built-in components for cluster management, data governance, etc., it allows businesses to optimize data analytics processes. Moreover, the Starburst Enterprise platform empowers organizations to link to any data source, employing advanced analytics tools for effective data analysis without data movement. The company notably supports AI workloads at vast scales and provides resilient query processing across multiple data sources, enhancing functional productivity. 4.3 Firebolt Founded in 2019, Firebolt has emerged as a global leader in the cloud data warehouse field and aims to broaden access to robust data analysis tools for more users. Promoting a culture of transparency, responsibility, and customer obsession, the company delivers a leading-edge cloud-based data warehouse platform that incorporates the swiftness of a query accelerator and the ability to handle large volumes of information like a traditional data warehouse. Imperatively, the company strives to empower businesses by streamlining data engineering, amplifying performance, and reducing costs. The company renders spectacular features, transforming cloud data warehousing with low-latency analytics for high concurrency and more agile query responses. With components like distributed multi-threading, data processing in arrays or batches, and an innovative optimizer for more effective execution plans, Firebolt facilitates agile and accurate data operations. The company further ensures ACID compliance, securing data integrity and reliability in database transactions. Additionally, it allows scaling both horizontally and vertically, enabling businesses to handle varying data volumes. Furthermore, the company’s platform encourages active collaborations and remains prepared for continuous integration and continuous deployment practices, supporting automated testing and frictionless updates to data pipelines. 4.4 Lyftrondata Providing a leading-edge data fabric platform, Lyftrondata empowers companies to convert data silos into valuable insights with promptness. Its self-service, agile data-delivery platform includes prominent offerings, such as Data Virtualization, a Managed Warehouse supported by Snowflake, a Data Pipeline, an API Data Hub, a Data Catalog, etc. The company facilitates effortless data integration across varied sources to expedite business insights, leveraging more than 300 connectors and further ensuring HIPAA compliance. Lyftrondata provides a unified environment, allowing users of different technical abilities to manage ETL processes seamlessly. From automating data retrieval to transforming complex data into actionable insights, the company’s forward-thinking platform eliminates manual coding. It employs flexible technologies, such as Kafka streaming and Apache Spark, to ensure easy automation for data integration and processing. The company boasts one of the best data warehouse solutions, empowering users to carry out large-scale analytics. It further leverages data virtualization to speed up live analytics and optimizes data governance, securing data privacy and adhering to enterprise-level security standards. 4.5 CData Standing at the forefront of data access and connectivity solutions, CData aims to simplify data connection processes for organizations and applications in today’s business world, where data is spread out in multiple locations. With real-time connectivity solutions, the company, hence, breaks down and converts data silos, allowing easy access, integration, and sharing of data. The company’s platform boosts businesses’ efficiency by standardizing interactions for operational consistency and optimizes performance at the socket level. It further supports two modes of integration, replicated and live data, and renders real-time data access to users across varied enterprise applications like ERP or CRM systems. CData’s remarkable offerings include CData Virtuality, which enables companies to get immediate access to over 200 data sources and leverage enterprise data virtualization through a consolidated interface to utilize data from varied origins. It further optimizes query performance with caching mechanisms. Another prominent tool, CData Sync, simplifies the creation and implementation of ETL or ELT data pipelines, facilitating the multi-environment deployment of data integration techniques and strategies, offering a cost-effective approach to data replication with its connector-based pricing model, and supporting a broad selection of data origins. Through secure, centralized data management, CData reduces data breaches, backs extensive integrations, and offers self-service connectivity, enhancing decision-making. 4.6 Zap Streamlining data handling for businesses, Zap efficiently integrates data from diverse sources, enriches it, and ensures that it is prepared for analysis. With its innovative Power BI analytic tool or patented Data Hub Analytics, Zap empowers companies to handle their functional and financial analytics requirements effortlessly. The company further leverages pre-defined data models enhanced with specialized knowledge to expedite the data preparation processes and attain actionable insights. The platform’s users can choose between Power BI or the proprietary Zap Data Hub Analytics for all-inclusive business and financial analysis, while Zap augments their capabilities through extensive training. Among the chief features of the company’s platform remain the advanced data modeling options, which include pre-built solutions for ERP systems and a codeless UI with SQL abilities. From boosting analytics with self-detected measures through semantic layer modeling to offering user-friendly dashboards and printable reports, Zap ensures exponential improvement in data and decision-making processes for businesses. 4.7 Druid Catalyzing powerful digital transformation, Druid is an ingenious technology company that specializes in data and analytics. The company employs advanced technologies like artificial intelligence, machine learning, and IoT to help businesses streamline and monitor their operational processes. The company’s services include IoT analytics, serverless frameworks, digital acceleration, and complex integrations. In addition to providing thorough data analysis, Druid further facilitates cloud migration for businesses, amplifying their agility, resource management, and operational prowess. It effectively supports incorporating and managing IoT solutions in the cloud and boasts commendable expertise in designing big data architecture. The company’s promising platform renders intelligent insights to businesses by integrating AI and ML technologies, ensuring boosted productivity and strategic growth. Importantly, Druid’s platform promises agile solutions for businesses, integrating via APIs, optimizing IT project lifecycles, and emphasizing digital advancement. 4.8 TimeXtender TimeXtender embraces innovation and sustainability to streamline data integration techniques and strategies for businesses. Leveraging metadata-driven solutions, it empowers companies to make strategically sound decisions, establishes benchmarks, and keeps a focus on both social and environmental impact. With its powerful and responsive data infrastructure, the company optimizes AI and analytics endeavors of businesses, enabling them to maximize the utmost potential of data. The core functionalities offered by TimeXtender include Master Data Management, which automates data correction, creates hierarchical relationships among critical data entities, and handles reference data, augmenting data governance capabilities. Its platform further ensures excellent data integration, supporting more than 250 pre-configured connectors, entailing incremental loading, and reducing processing times. Furthermore, with its premier Unified Metadata Framework, it facilitates automated code generation for consistent data workflows and supports a shared semantic layer for congruous understanding and usage of data across different departments. Not to mention, the company amplifies data accuracy with its striking data quality management tools for continual evaluation and easy troubleshooting. 4.9 dbt Labs A leader in the data development field, dbt Labs empowers data analysts to amplify data product delivery, ensuring preciseness and reliability in results. Trusted by industry leaders, the company strives to limit the use of dated tools to elevate data confidence and faster operations. From encouraging self-serve data analysis to superlative data oversight, the company stays resolute in its commitment to limit costs and optimize data models. With its robust end-to-end platform, dbt Cloud, it adopts an SQL-first workflow and empowers teams to handle intricate data tasks effortlessly, following best practices in data development and securing high-quality data delivery. From enabling the creation of modular analytics code to automated code testing, the advanced platform ensures result accuracy. It further boasts impressive documentation capabilities, promotes uniform metrics with dbt Semantic Layer, incorporates Git-enabled version control for uniformity, and provides robust security with advanced features. Moreover, offering dbt Explorer, it lets users visualize data transformation lineage, fostering trust, transparency, and reliability in data-backed decisions. 4.10 Redwood Software Redwood Software is a renowned automation platform provider that empowers businesses to automate their processes securely across on-premises and cloud environments. Focused on augmenting enterprise productivity, the company provides impressive cloud-native solutions, allowing integrations for ERP systems and incorporating REST web services via user-friendly API wizards. Serving as a cost-effective choice for businesses’ automation requirements, it provides a consumption-based or pay-as-you-go pricing model to mitigate financial risks and support budget management. The company’s leading-edge platform, RunMyJobs, offers comprehensive features for data warehouse management, allowing businesses to extract valuable insights from big data across departments. The platform ensures proactive data management by enabling automated data extraction from any database and enhancing live data pipeline monitoring via a unified interface. The platform further emphasizes security and optimizes resource management with dynamic load balancing. Such an approach allows strong data governance and promises precision and agility in data processes. 5. Final Thoughts Cloud data warehouses have transformed data processes, strengthening businesses with prompt data access, spectacular analytics capabilities, cost-effectiveness, and unmatched scalability. By partnering with the leading data warehouse software providers, companies today leverage advanced tools to attain crucial insights, drive intelligent decision-making, and achieve operational excellence. With the continual adoption of these advanced technologies, the future of cloud data warehouses is poised to witness continued incorporation of machine learning and artificial intelligence in cloud data warehousing processes. This would effectively automate data-handling tasks and augment predictive analytics for business implementation. The advancement would further witness an inclination toward containerized implementation, exhaustive data governance features, and deployment of microservices architecture. Such changes would equip companies with leading-edge tools to retrieve deeper data insights, enhance innovation, and maximize profitability.

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Intelligence Giant Upgrading its Cloud Technology

Article | February 10, 2020

With the huge amounts of data in all fields, a future in the cloud is imperative to help deal with this explosion of data, especially in the field of intelligence technology. This is the reason why the US Central Intelligence Agency is updating its cloud technology. The agency has recently released a draft request for proposal for its Commercial Cloud Enterprise contract.The C2E tens of billions contract will be a multi-award commercial cloud computing contract with a five-year base period and two five-year options for a period of performance of up to 15 years, according to nextgov.com.In a March 2019 presentation by the Directorate of Digital Innovation, a division of the CIA, the department outlined its vision for C2E. It would be broad and include infrastructure, platform and software cloud services supporting a broad range of users, with a variety of security clearances and a worldwide presence, as reported by techcrunch.com. The principal C2E Program objective is to acquire cloud computing services directly from commercial cloud service providers with established records for innovation and operational excellence in cloud service delivery for a large customer base,the department stated in the presentation.Apparently, the agency prefers to avoid all the attention that the Pentagon’s JEDI cloud procurement process got, and quietly go about its business.

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Hewlett Packard Enterprise | October 09, 2023

HPE's GreenLake revenue tops $1 billion and offers flexible payment models. GreenLake adds cloud-based backup and recovery as software-as-a-service. HPE launches AI-driven GreenLake for large language models and eyes the Asia-Pacific market. Hewlett-Packard Enterprise (HPE) has refined its GreenLake strategy, which was launched in 2017 as a response to the growing demand for IT consumption as a service. GreenLake's annual recurring revenue has now surpassed $1 billion, reflecting the popularity of the pay-as-you-go model for cost control and IT agility. However, in light of higher interest rates and economic uncertainty, organizations are showing decreased interest in pay-as-you-go approaches. As a result, HPE has introduced flexibility by offering GreenLake options through both capital expenditure (capex) and operating expenditure (opex) models, allowing customers to choose how they pay for their infrastructure. HPE has also expanded its GreenLake offerings in the software domain, providing software-as-a-service (SaaS) solutions, such as backup and disaster recovery, without requiring hardware investments. The platform supports backup and replication of workloads between cloud providers like AWS and Azure without the need for on-premises hardware. Joseph Yang, Managing Director of HPE, Singapore region, reportedly remarked, If you look at the architecture of HPE hardware, it’s becoming more and more like a modern smartphone, which is managed through the cloud, while your data and applications run on your premises. That’s what GreenLake is evolving into. [Source – Computer Weekly] The company is streamlining the management of hybrid infrastructures through GreenLake's infrastructure-as-a-service (IaaS) management platform. This platform can manage various HPE hardware, including networking equipment, servers, and storage, through the cloud, simplifying tasks like OS provisioning and firmware updates. Regarding data protection, HPE is focusing on helping customers manage their data lifecycles, whether stored on-premises or in the public cloud, through a centralized platform. HPE has also heavily invested in artificial intelligence (AI) solutions. They offer comprehensive AI solutions that cover the entire AI lifecycle, including machine learning data management software. In June 2023, HPE entered the AI cloud market with GreenLake for large language models (LLMs), allowing enterprises to privately train and deploy large-scale AI using supercomputers. Regarding the availability of this service in the Asia-Pacific region, Yang mentioned that market demand and factors like access to renewable energy need to be considered, especially in datacenter hubs like Singapore, where renewable energy sources are limited. Yang emphasized that addressing challenges like renewable energy sources and cooling methods is essential to supporting AI workloads effectively in the region.

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Softchoice announces launch of Cloud Cost Optimization, powered by Aria Cost, part of VMware Cross-Cloud managed services

Businesswire | August 22, 2023

Softchoice, a software-focused IT solutions provider in Canada and North America, has announced the addition of Cloud Cost Optimization, powered by VMware Aria Cost, to its managed services portfolio. Part of VMware Cross-Cloud managed services, Cloud Cost Optimization helps customers realize cloud value faster with FinOps, an operational model that brings accountability and clarity to the variable spend model of the cloud. VMware Cross-Cloud managed services is a set of prescriptive offerings for public, private, sovereign and hybrid clouds, cloud-native app delivery, designed to optimize cloud costs and help customers manage multi-cloud operational governance, all built on a common VMware foundation. The services enable customers to rely on expert, specialized managed services partners to drive cost efficiency and interoperability between clouds, data centers, and applications. As a longstanding and reputable VMware partner, Softchoice offers customers faster time-to-value, flexibility to scale up or down as required, along with lower total cost of ownership (TCO) and greater security, each of which enables organizations to invest in cloud growth while reducing complexity and risk at every step. “Modern apps are fueling the next wave of enterprise innovation and driving multi-cloud adoption. Yet, implementing multi-cloud can be complex and costly if not handled properly, with some 76% of multi-cloud organizations report needing to improve control over their cloud costs1,” said Abhay Kumar, VP for Hyperscalers and Technology Partners, VMware. “With their new Cloud Cost Optimization service, Softchoice can help our mutual customers in their aims to simplify financial management, streamline operations, and improve cross-organizational collaboration across their multi-cloud environment.” Delivered as a managed subscription-based service, Softchoice’s Cloud Cost Optimization is designed to help customers maximize the value of every dollar spent in the cloud by adopting FinOps. In line with VMware’s aim to bring clarity to cloud chaos through a cloud-smart approach, Softchoice’s service helps organizations maximize the value from their multi-cloud estates and applications. Chris Swadish, Hybrid Cloud Business Leader at Softchoice, said, “We are excited to offer our customers this Cross-Cloud managed service and support VMware’s vision of helping customers across the world become cloud-smart in their multi-cloud environments. As cloud adoption and innovation becomes a necessity, organizations need a better handle on their costs and risks. Cloud Cost Optimization helps customers both begin and correct their cloud journeys through a systematic, insight-led process designed to offer results at scale. Our work with The FinOps Foundation, technical proficiency, team of experts, and close partnership with VMware means that we can offer customers a more accelerated path to cloud efficiency, while aiming to reduce risk and helping them focus on innovation and growth across all cloud environments.” Softchoice has earned the VMware Managed Services Specialization to attain the VMware Cross-Cloud Managed Service Provider badge and the company’s Cloud Cost Optimization service is a VMware Validated Service Offering (VSO). This provides public confirmation that partner solutions are functionally and architecturally complete. Additionally, Softchoice recently completed the VMware Managed Services Advanced Specialization Audit, showcasing how the company is able to support customers with advanced transformation requirements. “Our proven track record of helping customers manage cloud spend combined with our technical expertise and certifications means we offer a comprehensive service capable of helping customers maximize the value of their cloud investments at any stage of their transformation journey,” Chris added. About Softchoice Softchoice Corporation (TSX: SFTC) is a software-focused IT solutions provider that equips organizations to be agile and innovative, and for their people to be engaged, connected and creative at work. That means moving them to the cloud, helping them build the workplace of tomorrow, and enabling them to make smarter decisions about their technology portfolio. For more information, please visit www.softchoice.com. VMware and Aria are registered trademarks or trademarks of VMware, Inc. and its subsidiaries in the United States and other jurisdictions.

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Datadog Announces Historical Investigations for Cloud SIEM

Prnewswire | August 08, 2023

Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced 15 months of data retention for Cloud SIEM, with new detection and exploration capabilities so security teams can conduct historical investigations and uncover threats hidden within their cloud and IT environments. Conducting investigations is time consuming as security teams are constantly importing and archiving older logs to long-term storage. These logs may be spread across multiple environments and geographies for compliance reasons and often must be re-indexed before an investigation can start. Customers may also need to write complex search queries to correlate user activity with other security events to uncover a threat. Datadog Cloud SIEM visualizes security activity across systems or entities—such as users, devices, IP addresses, apps and network connections—within the organization's infrastructure for as far back as 15 months. This new capability enables customers to correlate and uncover embedded threats without having to write custom queries or import log data for every investigation. "Without the ability to retain logs for a long period of time, companies are at risk of missing deep embedded issues that may threaten the availability and integrity of systems, apps, services and data," said Yash Kumar, Senior Director of Product Management, Cloud SIEM, at Datadog. "With Cloud SIEM, security teams now have a time machine to discover hidden threats and malicious activity. They can visualize and correlate events as far back as 15 months, making historical investigations faster and easier." About Datadog Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior, and track key business metrics.

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HPE's GreenLake Breaks the $1 Billion Revenue Mark to Expand its Cloud

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HPE's GreenLake revenue tops $1 billion and offers flexible payment models. GreenLake adds cloud-based backup and recovery as software-as-a-service. HPE launches AI-driven GreenLake for large language models and eyes the Asia-Pacific market. Hewlett-Packard Enterprise (HPE) has refined its GreenLake strategy, which was launched in 2017 as a response to the growing demand for IT consumption as a service. GreenLake's annual recurring revenue has now surpassed $1 billion, reflecting the popularity of the pay-as-you-go model for cost control and IT agility. However, in light of higher interest rates and economic uncertainty, organizations are showing decreased interest in pay-as-you-go approaches. As a result, HPE has introduced flexibility by offering GreenLake options through both capital expenditure (capex) and operating expenditure (opex) models, allowing customers to choose how they pay for their infrastructure. HPE has also expanded its GreenLake offerings in the software domain, providing software-as-a-service (SaaS) solutions, such as backup and disaster recovery, without requiring hardware investments. The platform supports backup and replication of workloads between cloud providers like AWS and Azure without the need for on-premises hardware. Joseph Yang, Managing Director of HPE, Singapore region, reportedly remarked, If you look at the architecture of HPE hardware, it’s becoming more and more like a modern smartphone, which is managed through the cloud, while your data and applications run on your premises. That’s what GreenLake is evolving into. [Source – Computer Weekly] The company is streamlining the management of hybrid infrastructures through GreenLake's infrastructure-as-a-service (IaaS) management platform. This platform can manage various HPE hardware, including networking equipment, servers, and storage, through the cloud, simplifying tasks like OS provisioning and firmware updates. Regarding data protection, HPE is focusing on helping customers manage their data lifecycles, whether stored on-premises or in the public cloud, through a centralized platform. HPE has also heavily invested in artificial intelligence (AI) solutions. They offer comprehensive AI solutions that cover the entire AI lifecycle, including machine learning data management software. In June 2023, HPE entered the AI cloud market with GreenLake for large language models (LLMs), allowing enterprises to privately train and deploy large-scale AI using supercomputers. Regarding the availability of this service in the Asia-Pacific region, Yang mentioned that market demand and factors like access to renewable energy need to be considered, especially in datacenter hubs like Singapore, where renewable energy sources are limited. Yang emphasized that addressing challenges like renewable energy sources and cooling methods is essential to supporting AI workloads effectively in the region.

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Softchoice announces launch of Cloud Cost Optimization, powered by Aria Cost, part of VMware Cross-Cloud managed services

Businesswire | August 22, 2023

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Datadog Announces Historical Investigations for Cloud SIEM

Prnewswire | August 08, 2023

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