Kevin Schofield
CEO
ADRM Software
www.adrm.com
A Comprehensive Enterprise Data Model Is Foundational to Successful Data Governance and Stewardship
Tuesday, December 10, 2019
04:30 PM - 05:20 PM
Business/Strategic
While many focus on processes and roles when planning data governance and stewardship programs, too often not enough attention is paid to the data that is to be governed. This talk will explain why the speaker's experience has led him to the conclusion that a comprehensive and detailed enterprise data model is foundational for organizations who want to ensure the success of their data governance and stewardship programs.
Defining and establishing data governance processes and roles is important, but without clear and precise communication about the data that is being governed and the scope of responsibility of individual data stewards, there is significant risk that data governance efforts will not achieve the desired benefits.
This talk will highlight some of the ways in which a comprehensive enterprise data model can improve and accelerate data governance initiatives including:
- Improved communication between stakeholders
- More clarity regarding scope of responsibility of data stewards
- Business-quality metadata to populate business glossaries and data catalogs
Over the past 20 years Kevin has led ADRM Software to its current position as the leading independent provider of comprehensive industry-specific data models. He has had the privilege to work directly with most of ADRM’s customers across a wide variety of industries in 19 countries around the world to ensure that their diverse and evolving data and analytic requirements are met now and in the future through the use of large-scale industry-specific data models to facilitate comprehensive digital transformation and data architecture and truly engaging enterprise data governance and through the deployment of large-scale DWs, Data Lakes, ODS, and virtualization layers across diverse platforms, while also reducing risk and benefiting from best practices and lessons learned at other similar large organizations.