Post-Conference Tutorials - June 11, 2015
| Thursday June 11 7:00–8:30 |
Registration and Continental Breakfast | ||||
| 8:30 - 4:15 POST-CONFERENCE TUTORIALS | |||||
Thursday
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T13: Data Governance for Successful Data Quality Malcolm Chisholm, President, AskGet Data Quality is a primary practice area of Data Governance, but very often Data Governance fails to address it well. This tutorial describes what Data Governance needs to do to establish a successful Data Quality program in an enterprise. The first step is to determine the boundaries of Data Quality, especially with respect to Data Issue Management and Data Change Management. After this, the approaches of Data Quality projects versus continuous Data Quality monitoring are contrasted. The use of profiling for Data Quality is examined, and the governance of Data Quality Business Rules is explored in detail. Additionally, the need for governance over the metadata involved in Data Quality, and how this is factored into repositories is described. Issue management is a necessary part of Data Quality, and has extensive governance requirements that are described. The integration of change management with Data Quality is also covered. Roles and responsibilities can be a difficult area in Data Quality as short-cuts in data management in one part of the enterprise can cause problems for other areas. This aspect of governance is also dealt with. Traditional issues in Data Quality, such as what the dimensions of Data Quality really mean, are also discussed. Attendees will learn:
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Thursday
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T14: Enterprise Data Strategy John Ladley, President, IMCue Solutions Enterprise Information Management (EIM) is becoming a common term. Enterprise data strategies are everywhere. In fact, a common issue is too many of them. Compliance, regulations, big data, analytics, MDM are all IM disciplines being considered by organizations, and all require cohesive data strategies But shades of data strategies have been proposed by IT for years. How can an organization develop a sustainable and useful enterprise data strategy without stigma of a cumbersome program? This full day session will cover the critical components and steps to develop a sustainable enterprise data strategy. Topics will be:
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Thursday
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T15: The Top Lessons Learned While Implementing Successful Enterprise Data Governance and Data Quality Programs Barbara Deemer, Chief Data Steward, Navient Michele Koch, Director Enterprise Data Management, Navient In this tutorial, Michele Koch (Director of the Data Governance Office) and Barbara Deemer (Chief Data Steward) will present Navient’s (formerly known as Sallie Mae) experiences and resulting best practices while implementing and sustaining their Data Governance (DG) and Data Quality (DQ) programs. Navient’s enterprise DG program won TDWI’s 2010 Best Practices Award in DG and the 2011 Data Governance Best Practice Award. Attendees will learn:
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