Achieving the Elusive Goal of Enterprise Data Awareness

Governance implementations are defined as a series of business rules (metadata) using terms such as system of record, subject area, Data Owners, and Data Stewards. Projects typically involve the collection of this information where it lies hidden in a spreadsheet or other metadata repository. This can adversely impact the ability of Data Governance to capture business value, empower IT, and reduce organizational risk. This presentation offers a new approach that combines all these components into an Awareness Matrix, enabling all users to see the relationships between businesses and their data. Having a shared view of Registered Governance Stakeholders for any class of data removes the most common hurdles in managing control failures, system changes, and quality issues. Metadata-driven governance is key to getting more from your hidden data assets. During this presentation, you will learn:

• The components of an Awareness Matrix
• The role of the Registered Governance Stakeholder
• Using the Awareness Matrix to improve response time and accountability
• Exposing and closing the gaps in governance communications
• Creating the Awareness Matrix with available metadata and technology
• Awareness of the quality state of the data

Speaker: Steven Zagoudis 

Steve Zagoudis is a data quality specialist and a leading authority on Optimizing Data Inventory Management, Data Governance, Information Governance, Lean Governance, and Data Risk Management strategies. He is the founder and CEO of MetaGovernance, an Enterprise Information Management (EIM) consulting firm. A veteran of advising multi-national corporations and government-sponsored enterprises (GSEs), Steve is passionate about helping organizations solve their critical data challenges.

Steve’s extensive background in Business Operations, IT, and Information Governance includes directing projects at Standard Oil, BP Worldwide, Sequent, IBM, Goldman-Sachs, and the Federal Home Loan Banks.

Steve is a strong advocate of governance controls in the world of structured and unstructured big data. Today’s regulatory environment is especially harsh for organizations that rely heavily on spreadsheets, end-user computing, and manual data reconciliations for financial disclosure.  For over 25 years, he has helped clients across multiple industries improve their data accuracy and integrity while reducing operational, compliance, and reputation risk.