WHY IT MATTERS: Digital Transformation

The core idea behind data lineage is the ability to fully understand how data flows from one place to another within the infrastructure that was built to house and process it. It seems like it should not be a difficult problem, but it is. In fact, it is a huge issue for organizations as they face 2022 and beyond. If organizations do not know where their data comes from or goes, they have uncontrolled environments that have risk on many different levels. Having uncontrolled data environments means that it is also very difficult to extract value from data, and data is the new oil or new gold. Organizations that cannot extract value from data stand a good chance of being outcompeted and replaced by organizations that can.

To succeed with data and analytics initiatives, enterprises need a comprehensive view of critical technology capabilities. We believe these Hype Cycles draw a holistic view of technologies — including the new addition of lakehouse architecture as a trigger, which can make data and analytics programs modern, broadly applied, richer in functionality and successful.

Get the report and gain insight into:
-Changes in this Hype Cycle — including the addition of Lakehouse
-The current state of data management maturity
-The Priority Matrix