Post-Conference Tutorials - June 14, 2018
Thursday June 14 7:008:30 |
Registration and Continental Breakfast | |
8:30 - 4:15 POST-CONFERENCE TUTORIALS | ||
Thursday
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W1 - Comprehensive Conflict Management Framework For
Data Governance Len Silverston, President, Universal Data Models When a data governance program is involved in a project, there are often project members that may say (or think), "We completely support enterprise wide data governance. However, we have very tight deadlines and budgets so we'll work together as long as you don't impact our deadline dates, tasks, resources, or budgets in any way." What is the first thing you would do in this scenario? Most people's answer is not what conflict management experts recommend. An important aspect of data governance programs is to have a conflict management framework that people can use since we know that certain types of conflicts will arise. Since we know that certain types of conflicts are inevitable, doesn't it make sense to be prepared for this before the actual conflict arises? Many times, it is too late to respond intelligently to a conflict if the team does not have an agreed upon framework or you do not have appropriate tools at your disposal in advance. This workshop provides an effective framework for managing conflict as well as multiple tools, techniques, and approaches, and is geared towards scenarios that inevitably arise in data governance and stewardship programs. Len Silverston will share a 5 step process that he has used to successfully to navigate these data governance and data stewardship conflict management scenarios. Specifically, the workshop will cover:
Interactive discussions of how this framework can be applied in various environments, scenarios and circumstance Level of Audience |
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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 - 7 Essential Artifacts for a Successful Data Governance and Data
Quality Program David Marco, President, EWSolutions Many organizations have established the basic foundation of a data governance or data quality program but find themselves struggling with implementing the program into their organization’s activities. They have the structure in place, they have the people in place, but how do they take it to the next level of maturity across the enterprise? Does the organization have the proper artifacts and processes to use those artifacts to ensure success? This tutorial presentation will provide 7 essential data governance artifacts that you can adapt to your organization’s culture and structure. Having these key artifacts at your fingertips will allow you to rapidly and smoothly respond to program inquiries, challenges, and organizational changes with continued growth and maturity. Participants will leave the workshop with a collection of artifacts that can provide real world success. Usable, detailed templates and processes will be provided and examined, based on the real-world experiences in data governance and data quality with major organizations. Attendees will be able to customize these artifacts to suit their organization's needs and culture. Learning Objectives will include:
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