Wednesday, April 30, 2014
11:45 AM - 12:30 PM
Effective Information Governance involves multiple aspects about the business and the underlying data and application assets. Terms such as data owner, data steward, data consumer, data custodian, system of record, provisioning points, controls, known copies, production reports, end-user tools, synonyms, homonyms, etc. are all part of the Information Governance vocabulary.
These components all define the basic puzzle of an organization’s source and use of data and derived information across the Enterprise Architecture. Understanding how these puzzle pieces fit together is critical to implementing a sustainable Information Governance initiative.
Fortunately a simplified metadata model can be used to understand and leverage the Information Governance puzzle. This session looks at Information Governance through a metadata lens and clearly shows the relationships that link the puzzle back to the business and underlying data and technical assets.
Based on case studies from several large organizations, this tutorial will provide the following:
- How to define Information Governance as a series of metadata components
- The fundamental metadata relationship between these governance puzzle pieces
- Understanding the relationship between Information Governance and Enterprise Architecture from a metadata perspective
- A metadata model for defining and managing Information Governance
- Policies, procedures, solutions, and roles for effectively managing Information Governance metadata
Steve Zagoudis is CEO of MetaGovernance. Steve is implementing a new paradigm in data governance that puts into practice the nuances in applying technology in a regulated world and addressing regulation through governance process and controls. Steve has substantial corporate experience directing IT, data governance and information governance efforts at BP, IBM, Goldman, and the Federal Home Loan Banks. As a result of his experience base, he has repeatedly demonstrated the dynamics of governance controls in the world of structured and unstructured big data, created value through augmentation of failed data warehouses by improving use from increased data confidence and control automation, and established an approach for eliminating waste across the information flow of organizations. Steve's involvement with executive-level management puts into practice his passion of driving business and competitive advantage through the optimal use of an organization's assets.