To compete in today’s dynamic environment, organizations need to modernize their data and analytics environments.
This modernization includes implementing new technologies such as scalable cloud platforms and unified approaches. It includes more advanced analytics such as geospatial analytics and machine learning. It also includes new paradigms such as the data fabric and the data mesh.
Furthermore, modernization may include new organizational constructs such as the data office and new teams such as DataOps, MLOps, and data literacy enablement teams.