Distributed, diverse, and dynamic data and analytic/ML model environments; lack of visibility and governance into data and modeling activities
Goals and Objectives
Create a data control plane orchestrating an end-to-end set of data activities to manage and control the holistic behavior of people and processes in the use of distributed, diverse, and dynamic data. Develop model management practices to ensure consistency and trust in modeling.
ML platforms, DataOps, ModelOps, compliance management, data security, data intelligence (data catalogues, lineage, profiling, stewardship tools, meta management, and master data definition and control tools)
Use Case Summary
Discover and analyze where data comes from, how data flows in support of business operations and strategic decisions, and how data is transformed and ultimately consumed. Ensure visibility into model development and execution processes.