Conference Sessions - December 10, 2010
Friday 10 December 7:008:30 |
Registration and Continental Breakfast | |||||||||||
8:30 - 9:30 CONCURRENT SESSIONS | ||||||||||||
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Five Maturity Models, Five Business Success Stories Gwen Thomas, President, The Data Governance Institute Besides addressing specific data problems, every Data Governance program is expected to improve its organization's capabilities. Learn how five organizations used Data Governance Maturity Models in five different ways to measure what was important to their leadership:
Attendees will be provided with Maturity Models and measurement criteria to take back to their own organizations. | |||||||||||
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Sustainable Data Governance - Maintaining Relevancy and Interest Over Time Kira Chuchom, Enterprise Data Quality and Data Governance, Cisco Now that the “hard” part of building your Data Governance program is done, you are coasting on a Data Governance “high”. Your Data Stewardship community is thriving Your business and IT partners are finally collaborating and working together superbly. All signs point to Data Governance bliss. Six months to a year later, somehow you are now facing any (or all) of the following:
How do you keep Data Governance viable long term ? This presentation shares some tips and techniques that can be leveraged along your Data Governance journey. 2010 DG Best Practice Award Submission | |||||||||||
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Communicating Data Governance (Before and After) Peter Aiken, Founder, Data Blueprint Two factors combine to increase the requirement for a clear and articulate communications plan. First, while data governance isn't a new concern for organizations, many parties are newly exposed to the needs for data governance and the consequences of poor data governance. As a consequence of this newness and wider potential audience there are not many models on which to base data governance communication plans. Second, most prior discussion has focused on technical aspects of data government. This talk will focus what is a DG Com Plan, when specifics are required, where to get certain information, and how to develop and implement the plan. It will also cover the various audiences, message/actions pairs, communication apparati, risk topics, and roles required to communicate data governance both before and after implementation. |
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9:30 - 9:40 BREAK | ||||||||||||
9:40 - 10:40 CONCURRENT SESSIONS | ||||||||||||
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How to Define and Implement Effective Data Ownership Steven Zagoudis, CEO, MetaGovernance Inc. This session provides a practical understanding of data ownership and the roles and responsibilities of data owners, data stewards, data consumers, and data custodians in implementing effective Data Governance. It offers no-nonsense fundamentals that participants can immediately implement when returning from the conference. The material guides them how to determine the true data owners and break through the roadblocks to starting effective data governance. Data ownership is at the root of any effective Data Governance program. Yet why does the concept still remain so elusive to many organizations? This session focuses on proven techniques to clearly define data ownership and to incorporate the aspects of data ownership towards restoring a fundamental trust in your corporate data assets. Based on case studies in healthcare and finance, you will learn to use effective Data Governance principals to remove the shroud of mystery around data ownership and the implications on risk reduction, operational efficiency and financial reporting. This session integrates the concepts of “navigating to the future” and a four-tier governance achievement model to define a comprehensive change management strategy. You will have the understanding and techniques to develop a workable roadmap to implement effective Data Governance within your organization. During this session you will learn governance fundamental such as:
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Implementing an Enterprise Data Management Scorecard Hope Johansen, Senior Business Analyst, Schlumberger Greg Wibben, Master Data Project Manager, Schlumberger Our master data governance program combines published master data policies with a data management scorecard that measures the conformance of data to business expectations. Driven by the idea that only data measures that are relevant to current business concerns will inspire action by the data stewards, our approach combines business process evaluation with data requirements assessment to provide data quality metrics. The metrics are presented in the form of a data management scorecard that easily allows business owners to view trends of observance to data expectations and concentrate on issues that negatively impact the business. Data stewards use the scorecard to drill down to record-level data problems for root cause analysis and problem remediation. Senior business users focus on trends, graphs, and KPIs to monitor data quality status and identify potential problems before they become full blown business issues. The scorecard's usefulness has been proven by the improvements in business performance that have resulted from targeted data governance. Attendees will learn to implement an enterprise data quality scorecard by:
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10:40 - 11:10 BREAK AND EXHIBITS | ||||||||||||
11:10 - 12:10 KEYNOTE | ||||||||||||
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Lessons Learned in Data Governance Moderator: Len Silverston, President, Universal Data Models Panelists: Corey Cashmere, Manager Data Governance, ConAgra Foods Pablo Riboldi, Information Governance Manager, LDS Church Kira Chuchom, Enterprise Data Quality and Data Governance, Cisco This panel discussion will focus on real life experiences and challenges encountered by practitioners in starting and deploying data governance, data stewardship and information quality programs. Topics include:
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12:10 - 1:50 LUNCH AND EXHIBITS | ||||||||||||
1:30 - 4:45 Afternoon Workshops | ||||||||||||
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WORKSHOP:
Data Governance Case Study Extravaganza - The Good, The Bad and The Ugly Robert S. Seiner, President and Publisher, KIK Consulting & Educational Services and TDAN.com Come one come all to the first ever Data Governance Conference Case Study Extravaganza. Come to this session equipped with your own personal (organization) case study and be prepared to compare and contrast your successes and difficulties with examples provided by other attendees and the facilitator, Bob Seiner. This interactive workshop will focus on the good, the bad and the ugly of data governance implementations. Seiner will share examples of internally developed tools and templates that organizations have used to implement successful programs. Expect lively conversation around industry best practices, practices that have worked (and why) and practices that have fallen short (and why). The session will accentuate the positive while discussing and addressing opportunities to improve. The emphasis of this session will be on sharing ideas (Bob’s and yours) around:
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WORKSHOP: Practical Steps to Improve, Revive, and/or Energize your Data Governance Program Pablo Riboldi, Information Governance Manager, LDS Church Starting a Data Governance program is one thing, but establishing one in a sustainable manner until it becomes part of your enterprise’s culture requires a different effort altogether. To accomplish this it is essential to base your program on proven principles and practices. In this tutorial you will learn and apply these principles and practices of data governance to improve your program and give you to the tools to make it an integral part of your enterprise. This is relevant, useful, and practical. After years of working in the implementation of Data Governance at my organization, I have experienced what are the principles and practices that guide this work. We will share these (along with stories, templates, tools) in a very candid, open way so you may learn from our collective experiences. In this hands-on tutorial you will learn and apply practical principles of data governance to improve your program. After this tutorial you will have:
Come ready to learn, laugh, and work. You will leave with the tools and plans to make your Data Governance program better and a successful part of your company’s culture. 2010 DG Best Practice Award Submission |
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WORKSHOP: Governing with Real Power: Developing Win-Win Relationships in Data Governance Len Silverston, President, Universal Data Models One of the most important aspects of any data governance effort is how we develop effective relationships and work together towards our objectives. There are proven principles, techniques and tools that other organizations have used to develop positive powerful relationships in data governance so why not learn, practice, use and ultimately master them? This seminar will share principles, tools, and techniques to empower participants in developing win-win relationships and moving toward effective data governance. The instructor will share various insights, showing pitfalls of where data governance efforts can and have gone off course as well as sharing keys to successful data governance efforts. There will be interactive exercises where participants can practice handling difficult issues that commonly arise by applying these relationships principles and tools that lead to effective data governance. Participants of this session will gain:
This session is critical to data governance professionals – relationship dynamics are often overlooked and they have been proven to be a key to success in data governance. |
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