Conference Sessions and Afternoon Workshops
December 5, 2012

Wednesday
December 5
7:30–3:30
Registration
Wednesday
December 5
7:30–8:30
Continental Breakfast
arrow8:30 - 9:20 CONCURRENT SESSIONS

Wednesday
December 5
8:30–9:20

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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.

Speaker:
Dr. Arka Mukherjee

Dr. Arka Mukherjee
CEO
Global IDs


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Wednesday
December 5
8:30–9:20

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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:
  • Guidelines for ethical data use in specific stages of the data life cycle
  • Key elements of standards and practices surrounding data ethics
  • Internal and external communication methods for ethical data use
  • Hazards and cautions of using “social” data
  • Risks of online collaboration and ”cloud” data
  • Special considerations for highly sensitive data
Speaker:
Anne Buff

Anne Buff
Thought Leader
Organizational Development
SAS

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Wednesday
December 5
8:30–9:20

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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:
  • How to govern internal and external data traffic
  • How to promote data quality interventions
  • What the role of governance is in information security
  • How to set up a MDM program
  • Current efforts and future plans
Speaker:
Pablo Riboldi

Pablo Riboldi
Solution Manager – Information Governance & Quality
LDS Church

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9:20 - 1:15 EXHIBIT HOURS
arrow9:20 - 10:00 COFFEE BREAK AND EXHIBITS
10:00 - 10:50 CONCURRENT SESSIONS

Wednesday
December 5
10:00–10:50

 

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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:
  • Definition of Data Governance Best Practices, Their Purpose and Use
  • Criteria for Development of Useful Best Practices
  • Using Best Practices to Identify Leverage-able Strengths
  • Using Best Practices to Address Opportunities to Improve
  • Producing a Best Practice Gap / Risk Analysis
  • Development of Recommendations and an "Actionable" Plan
Speaker:
Robert S. Seiner

Robert S. Seiner
President/Publisher
KIK Consulting / TDAN.com

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Wednesday
December 5
10:00–10:50

 

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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.

This presentation will center around leveraging metadata best practices in a practical manner to solve business critical problems—specifically, the following topics will be discussed:

  • Common business vocabulary across the enterprise and the governance process around it
  • Impact analysis – data traceability through the layers of architecture
  • Root cause analysis – data lineage from the point of entry through the point of consumption by systems and reports
  • Leveraging operational metadata for real-time and near real-time straight-through (lights-out) processing.
Speaker:
Samra Sulaiman

Samra Sulaiman
Director, Enterprise Data Management
Fannie  Mae

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Wednesday
December 5
10:00–10:50

 

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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.
Speaker:
Ray Fox

Ray Fox
Director
Nationwide Financial IT Architecture

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10:50 - 11:00 ROOM CHANGE
 

Wednesday
December 5
11:00 - 12:00

PANEL

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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:

  • Tips in getting started
  • Successful data governance organizational structures
  • How to keep the momentum going
  • Identifying and overcoming obstacles and roadblocks
  • Dealing with change and cultural issues
  • Role of communications
  • Best practices

Moderator:

John Ladley

John Ladley
President
IMCue Solutions

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Panelists:

Mike Jennings

Mike Jennings
Director Data
Governance-Enterprise Architecture
Walgreens

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  Ray Fox

Ray Fox
Director, Nationwide Financial IT Architecture

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George Yuhasz

George Yuhasz
Director, Data Process & Governance
HealthNow NY Inc./Blue Cross Blue Shield Western NY

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  Pablo Riboldi

Pablo Riboldi
Solution Manager – Information Governance & Quality
LDS Church

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12:00 - 1:15 LUNCH AND EXHIBITS
1:15 - 4:30 Afternoon Workshops

Wednesday
December 5
1:15–4:30

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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.”

  • Understand the elephants
  • Look at real examples of them
  • Develop strategies to identify and deal with sensitive items
Speaker:
John Ladley

John Ladley
President
IMCue Solutions

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Wednesday
December 5
1:15–4:30

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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.

  • What is “Certification” and “Data Stewardship”?
  • Why certify data stewards? Drivers, benefits, justification.
  • Understanding your environment – needs and pain points, resource constraints, political/organizational issues
  • Structuring data steward certification- training on skills and processes, testing, grandfathering
  • Implementing and maintaining data stewardship certification
  • Celebrating and communicating data steward certification
  • The on-going data steward community
  • What now? What does it mean to be a certified data steward?
Speakers:
Patricia Branum Patricia Branum
Data Governance and Data Quality Professional

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  Eileen Koski Eileen Koski
Data Governance & Medical Informatics Professional

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April Reeve

April Reeve
Advisory Consultant
EMC2 Consulting

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Wednesday
December 5
1:15–4:30

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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:
  • Improving accountability vertically and horizontally for data in your organization
  • Improving communications associated with data across your organization
  • Improving reliability, quality and understanding of data and information
  • Formalizing responsibility and processes for defining, producing and using data
  • Managing business rule and risk management associated with your data
Speaker:
Robert S. Seiner Robert S. Seiner
President/Publisher
KIK Consulting / TDAN.com

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