Making Data Governance Real in the Enterprise – The Benefits of a Model Driven Approach

With data volumes exploding, data sources multiplying, data assets being monetized and organizations transforming into “data driven” entities, the strategic importance of Data Governance is gaining C-level exposure and criticality. The need for a fully enabled, rigorous and repeatable approach to Data Governance has never been more imperative.

Governing data definition
Extending your data models for good governance
Model driven meta data authoring for all stakeholders
Creating data awareness through visual models

With more than 25 years experience in the IT industry, Danny has been with ERwin for 16 years. His industry experience includes various roles in data administration, database design, business intelligence, metadata management and application development. Danny’s roles with ERwin include technical presales consulting, business development, product management and business strategy. Each role has given him a deep insight into a broad range of issues facing organizations as they plan, develop and manage their data architecture and strategic information delivery infrastructure. Danny is responsible for the strategy, messaging, and strategic alliances for ERwin Modeling.