Conference Sessions and Afternoon Workshops
December 5, 2012
Wednesday December 5 7:303:30 |
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Wednesday December 5 7:308:30 |
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8:30 - 9:20 CONCURRENT SESSIONS | |||||||||||||||||
Wednesday |
Merging Big Data with Enterprise Data: Why ? What ? How ? Dr. Arka Mukherjee, CEO. Global IDs In order to realize value from Big Data, organizations must map and merge their Enterprise Information Assets with external data. Intuition tells us that external data from our customers about our products is valuable. Such information can be used to generate a better understanding of customer behavior. What is not clear is how such data can be "mined" to generate business value. Intended for CIOs, EIM Managers and Data Architects, this presentation describes why this data merger is important, what should be merged, and a methodology on how to merge Enterprise Data with Big Data. |
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Wednesday |
50 Shades of Grey:
Ethics and Data Governance Anne Buff, Thought Leader, Organizational Development, SAS Sure, your data governance program ensures that you’re consistent as you define, model, annotate, and correct corporate data. But increasingly, one of the key functions of data governance is ensuring data compliance with legal and government regulations. And—unlike some of the more tactical problems—executives are paying attention. What they don’t know yet is that compliance does not necessarily encompass or account for the ethical use of data. With the increased use of data throughout the organization, the risks of unethical data use, intentional and unintentional, are growing exponentially. Organizations must position themselves as trusted guardians of customer data and apply ethical standards around data driven decisions to ensure integrity and protect their public image. Determining the role that your data governance team plays in the ethics of data use is critical to safeguard your organization from these dangerous “grey” areas. In this session, we will identify the organizational risks surrounding the “grey areas” of data use, help you develop guidelines for data ethics, and define the responsibilities within the Data Governance team to mitigate such risks. Using a data ethics maturity model, we’ll illustrate levels of ethical data use and pinpoint hazardous or weak areas that could jeopardize the organization’s reporting integrity. We’ll also detail methods for communicating the organization’s ethical data use policy and position to ensure internal buy in and compliance, as well as send a clear message of trust and integrity to the public. What You Will Learn:
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Wednesday |
Seven Data Governance Strategies Implemented at a 5-year-old DG Program Pablo Riboldi, Solution Manager – Information Governance & Quality, LDS Church 2012 DG Best Practice Award Finalist This is a real case study sharing how long-term data governance strategies have been implemented by a successful Data Governance program at a large, non-profit organization. You will learn how to adapt these strategies to apply them in your organization and how to avoid common pitfalls. Some of the strategies include:
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9:20 - 1:15 EXHIBIT HOURS | |||||||||||||||||
9:20 - 10:00 COFFEE BREAK AND EXHIBITS | |||||||||||||||||
10:00 - 10:50 CONCURRENT SESSIONS | |||||||||||||||||
Wednesday
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Data
Governance Best Practices: What They Are and How to Make Them Work for You Robert S. Seiner, President/Publisher, KIK Consulting / TDAN.com To avoid a "ready-shoot-aim" approach, Data Governance Best Practices are developed to help organization's assess their present business needs, leverage existing capabilities and address opportunities to improve. Best Practices become the core value of the early steps of Data Governance Program development and deployment. However, many organizations do not spend the time to develop this easy-to-build list. In this session, Bob Seiner will provide an adaptable definition of Data Governance Best Practices, a starter list of best practices for consideration and a model for how to use the best practices to produce and follow an "actionable" data governance work plan. Bob will cover:
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Wednesday
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Demystifying
Metadata: A Practical Approach to Solving Critical Business Problems through
Effective Metadata Governance Samra Sulaiman, Director, Enterprise Data Management, Fannie Mae A best practices discussion on how to effectively leverage metadata to address regulatory compliance requirements, data governance and stewardship, enterprise risk management, operational efficiency, and business process automation (straight-through processing). Although metadata
management is one of the core components of the Enterprise Data Management
discipline, many organizations have difficulty justifying an Enterprise
Metadata Management program. In many instances, metadata is viewed narrowly
as a technical issue.
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Wednesday
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Injecting Data Governance into Software Development Life Cycle Ray Fox, Director, Nationwide Financial IT Architecture Nationwide has been building a strong data governance team over the past 5 years. One key problem area continues to be productivity and data quality for projects within the data space. Nationwide has recognized the need to include the data governance stewards in its software development life cycle methodology. This presentation will explain the problems in the requirements phase and how we are introducing new roles including data analyst and data governance representatives on selective projects including work products that will be expected during various phases of the life cycle. |
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10:50 - 11:00 ROOM CHANGE | |||||||||||||||||
Wednesday
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KEYNOTE PANEL: Addressing the Challenges in Implementing Data Governance Practitioner Panel Moderator: John Ladley, President, IMCue Solutions Panelists: Mike Jennings, Director Data Governance-Enterprise Architecture, Walgreens Ray Fox, Director, Nationwide Financial IT Architecture George Yuhasz, Director, Data Process & Governance, HealthNow NY Inc./Blue Cross Blue Shield Western NY Pablo Riboldi, Solution Manager – Information Governance & Quality, LDS Church This panel will address the challenges encountered when implementing data governance. Topics include:
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12:00 - 1:15 LUNCH AND EXHIBITS | |||||||||||||||||
1:15 - 4:30 Afternoon Workshops | |||||||||||||||||
Wednesday |
WORKSHOP:
W1 - Avoiding Elephants – How to Overcome Major Resistance Issues to Data Governance John Ladley, President, IMCue Solutions This tutorial will examine a series of “elephants” or common resistance areas for DG and DQ programs and prescribe activities to deal with them. There are a lot of talks about justifying data governance and data quality programs and selling data governance and data quality. But the majority of these program efforts still falter. And “data people” act as though data quality and governance are awesomely brand new sciences. Truth is, our business clients are kind of surprised that us data –types approach this as a new thing. There is a set of common “elephants in the room” that data governance and data quality groups try to side step. But they are normal resistance patterns and can be managed, and even leveraged. This tutorial will examine a series of “elephants” and prescribe activities to deal with them.”
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Wednesday |
WORKSHOP: W2 - Are You Certifiable? Developing a Data Steward Certification Program Patricia Branum, Data Governance and Data Quality Professional Eileen Koski, Data Governance & Medical Informatics Professional April Reeve, Advisory Consultant, EMC2 Consulting Many disciplines are introducing and emphasizing the certification of individuals as experts. Is it time to look at certifying data stewards? Is it appropriate to certify data stewards in general, or within a particular organization? The goals of a data stewardship program include standardizing processes and improving skills of the participants across the enterprise. It seems appropriate to want to certify that the organization ’s data stewards are doing this consistently. This session will teach participants how to determine whether creating a data stewardship certification program is right for their organization and, if so, how to design, implement, and maintain one. The tutorial will include exercises on how to structure a Data Steward Certification program for an organization’s specific needs. The material for this session is based in part on experience the speakers had in implementing a certification program and training data stewards during 2011 and 2012 at a health care administration organization, as well as other related experiences.
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Wednesday |
WORKSHOP: W3 - Artifacts and Work Products to Enable Successful Governance Programs Robert S. Seiner, President/Publisher, KIK Consulting / TDAN.com Successful Data Governance and Information Governance Programs often result in the delivery of “artifacts” and work products, internally delivered by-products from program implementation, that become the focus and face of the program. Bob Seiner has been delivering successful programs to his clients for many years and along the way he has collected and built a series of artifacts that play this exact role. Join Bob Seiner for a valuable session introducing and demonstrating value of several artifacts, developed internally, that will add significant value to your Data Governance Program. The artifacts that are discussed in this session will focus on common data, governance activities, communications and process accountability and samples of these artifacts will be demonstrated and described in detail. This could be the most valuable session of data governance content ever. This session will discuss the development of Artifacts and Work Products focused on:
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