This provides confidence that consumers can trust the data sources.Ĭollibra also empowers data users to find the data quickly through the data information platform. Collibra manages the content data about the data, using data quality scorecards and metrics for the data elements. Collibra plays key roles across all these foundational blocks. The foundational blocks to Freddie Mac’s data strategy were managing content, trusting the data source and empowering the business. And finally, we added integrations where we needed them so that the data pipelines are flowing smoothly and are optimized at every point.” Defining the data strategy “Next, we built the cloud onboarding solution with Collibra in the front. “We refreshed our data strategy, to ensure it aligns with our divisional business objectives, and with the departmental mission of a cloud native data strategy, because we were heavy users of Collibra already,” said Vikram. The first requirement was alignment between the overarching organizational business objectives and those responsible for provisioning the data and implementing the data lake. It should drive creativity, innovation, and reduce the time to market for new products. At the core of designing a well-governed data lake is the requirement that the new data ecosystem will deliver ongoing relevance and value creation. Their approach to designing and implementing a modern cloud native ecosystem solution involved three steps. And they are relying on the data team, us, to provision this data seamlessly so that the business can be run smoothly.” Designing a modern cloud ecosystem “The business is dependent on the delivery of this data, their innovation, their analytics, their predictive analysis needs this data. But what are the risks if you don’t do it right?” said Vikram. “We can realize those benefits by modernizing our data ecosystem to a cloud native ecosystem. This transformation provides security, resiliency, scalability, reliability and availability. The solution involved the transition to a self-governed cloud native data lake, making all data available in a single place. It can get overwhelming for data consumers to figure out where to get the data they need.” “Having a multi-generational data ecosystem not only creates a predicament for us, it also creates complications for our data consumers. “We also implemented Hadoop’s analytics platform for our big data needs,” said Vikram. They have approved provisioning points for system-to-system integrations with pub and sub patterns. They still have Cobolt Mainframes, relational and star schema base data warehouses and data marts. Their data ecosystem is multi-generational. For one, they had been collecting data for years, with exponential growth recently. This transformation did not come without challenges. “Data users can now get an integrated business view of their technical metadata, data quality, data movement controls, and all business metadata in a single central universal platform.” Data Transformation Challenges “This is truly a transformation, not only in the data governance and metadata space, but overall, how we think of data at Freddie Mac,” said Vikram.
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Representing approximately one third of the Freddie Mac organization, data consumers use Collibra for different data related use cases. “We have also added collaborative workflows to engage with our business users and keep the business metadata evergreen.” “In addition to transforming the business glossary from spreadsheets, we built key integrations to make Collibra the universal metadata repository,” said Vikram. Now, more than 2,000 Freddie Mac data users have access to the business glossary on their computers and mobile devices. “Before Collibra our business glossary, business terms and definitions were in Excel spreadsheets,” said Vikram. “Our data ecosystem transformation pivoted on Collibra,” said Vikra.Ĭollibra quickly improved the collaboration within and across different teams after the implementation of the single-family business glossary. He led the selection of Collibra to address their data governance and data stewardship needs, and now leads the enhancements and adoption of Collibra across all Freddie Mac divisions. Vikram Chopra is the Senior Manager, Single-Family, Data & Decisions at Freddie Mac. To help manage this colossal wealth of data, Freddie Mac turned to Collibra as their one-stop shop for data, particularly relying on Collibra for their intake process, business glossary and data lineage needs. Achieving this mission involves the collection and processing of vast amounts of data. Freddie Mac’s mission is to make ownership of a home possible for everyone, helping 480,000 first time home buyers in 2019.