August 29, 2022
With data growth only accelerating, organizations face challenges as well as tremendous potential—potential that can go untapped without good data governance.
Organizations need a new approach to data governance that drives business value through increased trust in data and its fitness for each purpose. With growth in analytics, many organizations are beginning to extend data governance principles, standards, and practices beyond data management and traditional BI into analytics model and AI/ML algorithm development.
As data grows in volume, variety, and velocity and users’ workloads grow and become more complex, existing data warehouses and data lakes come under pressure. Organizations need complete and agile data governance practices and solutions to keep their focus on maximizing business value as requirements grow and change.
This TDWI Checklist Report discusses seven top data governance best practices for your data warehouse and data lake.