In order to have a world-class data integration solution in today’s environment, you need the best team to build it out and continue supporting it
MEDIA 7: What inspired you to create Matillion?
MATTHEW SCULLION: Matillion was born at my kitchen table back in 2011. After working in companies, with data, since the start of my career, I noticed something: companies and executives always wanted and needed better data. They were hungry for it. They would start traditional data projects but always with the same result. One, the projects were expensive, and two, they usually failed. My co-founder, Ed Thompson, and I wanted to do something at the intersection of data in the cloud, which was just becoming mainstream. At first, that was building cloud-driven business intelligence solutions for companies that leveraged the power of the cloud. While building these solutions, we noticed that 80% of the time doing analytics projects wasn’t spent doing analytics! It was spent trying to make data useful, and ready to do analytics on––joining the data together and transforming it. Solving this problem in the cloud was a true gap in the market and we decided to create technology to do so. So Matillion ETL was born and the rest is history!
M7: Recently, Matillion was recognized as Britain’s latest business “unicorn." How has the journey been so far, for Matillion?
MS: Well, it has been quite a journey, from just Ed and me in a small office space outside of Manchester to being a 500-person unicorn with a $1.5B valuation and well more than 1,000 customers. One of the biggest factors in us getting to this place is our team and culture. The team is everything. In order to have a world-class data integration solution in today’s environment, you need the best team to build it out and continue supporting it. Particularly over the last two years, we’ve seen the importance of building a strong culture to foster innovative thinking and creating a place where people want to come to work every day. Matillioners are such great people and we’ve been able to hire and retain talent because our employees emulate our values. Our people care about our customers and each other, and they work with integrity. This combination has driven our growth which has ultimately led to our unicorn status.
Read More: ‘Intelligent Automation has the potential to save over 10 million lives each year,’ says Aera Technology’s Pascal Bornet
You can’t get to the critical work of innovation and staying relevant if you’re spending 57 percent of your time on data cleaning and maintenance
M7: What are the key factors that highlight Matillion from the rest?
MS: Our vision at Matillion has been the same since the beginning: to make the world’s data useful. We all know that there are enormous volumes of data, in multiple formats, coming from thousands of different sources––it’s overwhelming. But the key to making data useful is realizing that we don’t have a data problem, we have a supply chain problem. We can’t refine, enrich and get data where it needs to be fast enough. By unblocking that supply chain with automation and low-code/no-code technologies like Matillion ETL, we enable organizations to realize the full potential of their data for analytics, AI, and machine learning-–making it possible to revolutionize how we work, live, and play. Again, the key is the cloud. Matillion is the only company currently delivering cloud-native data integration technology, built for the enterprise, that allows organizations to make their data useful quicker and at scale. We realize that the best way to enable companies to achieve more with data in the cloud is to take an integrated approach, where we are a critical part of an entire modern enterprise data stack. We’re building our product on top of the modern cloud platforms that data teams are already using. We’re integrating with other best-in-class products that do cloud analytics, data governance, and other mission-critical things that modern businesses need. And we connect all data to the cloud. People no longer have to ask us if we have a connector for their particular flavor of data, whether it’s legacy data or their SaaS app. Universal Connectivity allows users to quickly and easily build customer data connectors in a no-code environment. That is a game-changer for ETL technology.
M7:How does Matillion transform data into meaningful business insights?
MS: Well, to clarify, analytics, AI, and ML yield meaningful insights for businesses, but they can’t do their job without useful, joined together, analytics-ready data. But, data isn’t born that way, it’s a raw resource that needs to be refined. To do that, you need to extract, load, and transform data, and orchestrate that process at scale. You could hand-code all of that work. In fact, having a highly specialized team that hand-coded ETL jobs used to be the only way to do it. But with Matillion, you have a low-code, no-code platform that makes it faster and easier to maintain, by more people than just specialized engineers. And it’s all underpinned by a push-down architecture that’s built for the cloud. That’s how we help more people get the insights they need to propel their business forward, faster than they ever could before.
Read More: Oracle's Lisa Marcyes says, 'People trust people more than they trust brands'
The key to making data useful is realizing that we don’t have a data problem, we have a supply chain problem
M7: IBM estimates that so-called “bad data” already cost U.S. businesses roughly $3 trillion annually, what are your views on it?
MS: In today's environment, the ability to gain meaningful insights from vast amounts of data is no longer a competitive advantage but a requirement for making real-time decisions and remaining relevant. Every company must be a data company. Those who can’t do that, and fall trap of funneling through “bad data,” will become irrelevant. Not only that, but as we found in our recent survey, data teams are spending 57% of their time on data migration and maintenance––which ends up costing organizations up to $43.5M per year. You can’t get to the critical work of innovation and staying relevant if you’re spending 57 percent of your time on data cleaning and maintenance. Make that part faster and cheaper, and minimize human error, while focusing humans on more intelligent and strategic work. That’ll both helps eliminate “bad data” and unlocks the potential of what you can do with useful data. That’s where you start to change the way we work, live, and play.