Data Governance for ML Model at Global Tech Company

Background:

A leading global technology company spent years defining its data governance approach and principles but struggled to drive tangible impacts on business programs. A new artificial intelligence-driven recommendation engine for B2B sales and marketing required high quality data. The leading global technology company asked Unify to provide guidance and execution to improve the governance of the data used in the recommendation engine program.

Solution:

Unify diagnosed the current state of data governance and developed recommendations for improvements. These included applying a customized data governance execution plan for each major initiative. Unify developed a custom execution plan for the B2B sales and marketing recommendation engine program, guided communications with stakeholders, and developed a data governance maturity assessment, charter, playbook, data catalog, and roles and responsibilities. Further, an external version of the playbook was made available to customers of the leading global technology company.

Outcomes:

The leading global technology company was able to improve data definition, stewardship, and quality enabling more accurate results in the recommendation engine. The engine’s results were used to prioritize marketing and sales representatives’ time to promote products like Azure, Dynamics, and Office to the customers most likely to purchase. The engine is in prototype phase, but it already showing promising lift.

Key Deliverables​:

• Data Governance Maturity Assessment Tool​

• Data Governance Playbook​

• Data Governance Council Charter​

• Data Package to Guide Execution​

• Data Dictionary and Lineage Guidance​

• Data Governance Role Definition​

• Communications Plan