Post-Conference Tutorials - June 6, 2019
| Thursday June 6 7:00–8:30 |
Registration and Continental Breakfast | |
| 8:30 - 4:15 POST-CONFERENCE TUTORIALS | ||
Thursday
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W1 - The Top Lessons Learned While Implementing Successful Enterprise
Data Governance and Data Quality Programs Michele Koch, Director, Enterprise Data Intelligence, Navient In this tutorial, Michele Koch (Director of the Data Governance Office) will present Navient's experiences and resulting best practices while implementing and sustaining their Data Governance and Data Quality programs. Navient's enterprise DG program won the 2011 Data Governance Best Practice Award. Attendees will learn:
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Thursday
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W2 - Operationalizing
Data Governance and Data Quality David Loshin, President, Knowledge Integrity Information collaboration and data sharing are on the rise, especially as organizations migrate their data to sharable cloud-based data lakes and interoperate with different systems via data services. At the same time, a growing community of “citizen data scientists” have an expanded appetite for consuming and analyzing data on their own terms. Yet as data volumes grow and individual data reuse increases, there are growing risks of misinterpretation, inconsistency, noncompliance with enterprise standards, as well as exposure of sensitive information beyond the bounds of the enterprise. Consequently, the need to govern and ensure the quality of data has never been greater. At the same time, we need to raise awareness of the value and criticality of information as an emerging asset within the enterprise. In this tutorial, we provide a framework for linking the specification and deployment of information policies, the pragmatic aspects of functional data quality validation and management, and the means for instituting data awareness across the technical and non-technical members of your organization as the basis for productionalizing data governance. Attendees will learn about:
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Thursday
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W3 - Sustaining
Data Governance and Adding Value for the Long Term John Ladley, Principal, Sonrai Solutions Data Governance is becoming better understood. Certainly, it is more accepted now than in prior years. However, the occurrences of companies who have tried data governance several times, or have stopped trying is uncomfortably high. Whether data governance is triggered by compliance or a large data project, it is begins with great enthusiasm and excitement. Then, for a number of reasons, the excitement wanes, and the challenges appear. For certain, data governance reduces risk and adds value when done thoroughly. And many companies have even launched Data Governance more than once! How do you sustain the excitement and value proposition? How do you address the many challenges that occur? In this tutorial we will talk about the challenges of making Data Governance a "going concern" in your organization and how to sustain a program for the long term. We will cover:
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