Conference Sessions and Afternoon Workshops
December 6, 2017


Wednesday
December 6
7:30–3:30
Registration
Wednesday
December 6
7:00–8:00
Continental Breakfast
7:20 - 7:50 CONCURRENT SESSIONS

Wednesday
December 6
7:20–7:50

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Zen with Len
What Does Zen Have to do With Data Governance. The Answer is "Everything". Find Out Why
Kensho Len Silverston

Meditation, Qigong (moving meditation), and Talking Meditation (The what, why and how of meditation)
Prepare yourself and your mind for the day so you can make the most of it!

Come invigorate yourself, reduce stress, develop your mind, and learn about and practice meditation.

Len Silverston, who is not only a data management, data governance, and data modeling thought leader, but is also a fully ordained Zen priest and spiritual teacher, will provide this brief overview of what meditation is, why it is important, how to meditate, and lead a sitting meditation and moving meditation (Qigong) session.

Some ask, ‘What does Zen have to do with data governance’. The answer is ‘everything’. Find out why.

This will be an enlightening, wonderful session to start your day in a relaxed and receptive state of mind!

Level of Audience:
All Levels
Speaker:
Kensho Len Silverston
Kensho Len Silverston

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Wednesday
December 6
7:20–7:50

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The Leader’s Data Manifesto and Data Governance
Danette McGilvray, President and Principal, Granite Falls

Six of your data colleagues set out to resolve a puzzle. Why do companies say they are interested in data and do so little about it? Why proclaim "data are assets," then not manage them as such?

To solve this puzzle we narrowed our focus to the "manage data assets" question, pooled and re-examined our own successes and failures, studied models of innovation, diffusion, and disruption, conducted an extensive root cause analysis, compared interim explanations with progress in other fields, and were brutally honest in testing these explanations among ourselves.

The answer was not what we expected.

Please attend this session to:

  • Hear our answers – The Leader’s Data Manifesto
  • See how our research results and the manifesto can help your data governance efforts

Level of Audience:
All Levels

Speaker:
Danette McGilvray Danette McGilvray
President and Principal
Granite Falls

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8:00 - 8:45 CONCURRENT SESSIONS

Wednesday
December 6
8:00–8:45

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BAM! Kicking Data Governance up a Notch!
Anne Buff, Advisory Business Solutions Manager, SAS

As Emeril Lagasse would say, “BAM! Let’s kick it up a notch!” You’ve implemented data governance. You’ve got the council and stewards and well defined workflow. But, if it seems like you are serving up the same old stuff, it is time to spice up your data governance program. It is not that your recipes aren’t good, they can just be better. In this session, we will look at some ingredients, methods and techniques that you can use to add “kick” to your data governance program and keep ‘em coming back for more.

What You Will Learn:

  • Common challenges that bland data governance programs face and how to avoid them
  • Techniques for reinvigorating business and IT
  • How to bake data governance into everyday business
  • Methods for incorporating new ingredients such as cloud and big data
  • Healthy habits in the data governance
Level of Audience:
Advanced
Speaker:
Anne Buff Anne Buff
Advisory Business Solutions Manager
SAS

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Wednesday
December 6
8:00–8:45

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From Glossary to Governance
Shannon Fuller, Director Data Governance, Carolinas Healthcare System

This session will focus on establishing and utilizing a Business Glossary/Catalog to drive your Governance Program., by establishing definitions and standards for the data available, so that we know what we have, where it sits and that it is of high quality.

We will discuss:

  • Is everyone in your organization on the same page
  • Facilitating terminology & reference data standardization
  • Increase information quality
  • How does a common language affect security and privacy?

Level of Audience:
Introductory

Speaker:
Shannon Fuller Shannon Fuller
Director Data Governance
Carolinas Healthcare System

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Wednesday
December 6
8:00–8:45

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Leveraging Data Governance in meeting the Identification of Medicinal Product Regulation
Robert Class, Director, RIM Data Standards, Governance & Operations, Janssen R&D
Pete Seliga, Associate Director RIM Data Standards, Governance &d Operations, Janssen R&D 

The European Medicines Agency (EMA) is requiring that anyone that sells or is part of the manufacturing of medicinal products provide Substance, Product, Organization and Referentials data to them in a specific format. 

Janssen has taken the Identification of Medicinal Products (IDMP) mandate as its impetus to implement a Data Governance program to assure that the requirement is addressed.  In this presentation, we will share our experience in the following areas

  • What is the IDMP Regulation?
  • Challenges to complying
    • Data in different formats and locations, multiple systems of record for the data
    • Lack of ownership
    • Moving from a document based data collection into a MDM based approach to compliance
    • Resistance to change
  • How we addressed these challenges

Level of Audience:
Intermediate

Speakers:
Robert Class Robert Class
Director, RIM Data Standards, Governance & Operations, Janssen R&D

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  Pete Seliga Pete Seliga
Associate Director RIM Data Standards, Governance &d Operations, Janssen R&D 

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8:45 - 9:15 COFFEE BREAK AND EXHIBITS
9:15 - 10:00 CONCURRENT SESSIONS

Wednesday
December 6
9:15–10:00

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Lessons Learned from a Mature Data Governance Program
Susan Yamin, Enterprise Data Governance Director, Ally Financial Inc.
Miah Manns, Risk Manager Enterprise Data Governance, Ally Financial Inc.

With almost 8 years of an operational Data Governance Program, Ally has overcome various challenges and implemented viable solutions. During this session, we’ll share some lessons learned that you can utilize while establishing, building and even repositioning your Data Governance Program for success.

Specifically we’ll discuss:

  • The importance of a solid framework.
  • Council responsibilities vs decision making bodies for data management for maturity.
  • Consistent communication for lasting commitment and data ownership.
  • Managing Data Quality exceptions.
  • Shifting from results to value with a sustainable program.
Level of Audience:
Intermediate
Speakers:
Susan Yamin Susan Yamin
Enterprise Data Governance Director
Ally Financial Inc.

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  Miah Manns Miah Manns
Risk Manager Enterprise Data Governance
Ally Financial Inc.

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Wednesday
December 6
9:15–10:00

 

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Data Governance - Incubate, Accelerate and Grow
Parul Kalve, Data Governance Advisor, Enbridge Inc.

Ever felt like despite the buy-in from the business; there is a lack of engagement, slow/no momentum in driving data governance efforts further, and uncertainty in sustainability of a data governance initiative? Then this case study will walk you through how the North America’s largest energy distribution company – “Enbridge” sustains their Data Governance initiatives enterprise wide with their pragmatic approach without boiling the ocean.

“Incubate, Accelerate, and Grow” approach is a staged engagement with the business stakeholders to mature data within the organization. This to ensure that the data that drives decisions can be trusted is relevant and readily available.

In this session, you will learn:

  • How to achieve business value by incremental Data Governance deliverables
  • Introduction to Enbridge Data Governance Framework
  • The power of a strong process over expensive tools
  • Operationalizing Data Governance and ensuring long term sustainment by avoiding pit falls

Level of Audience:
Introductory

Speaker:
Parul Kalve Parul Kalve
Data Governance Advisor
Enbridge Inc.

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arrow10:00 - 10:10 ROOM CHANGE
10:10 - 10:40 DATA GOVERNANCE SOLUTIONS

Wednesday
December 6
10:10–10:40

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arrow10:40 - 10:50 ROOM CHANGE
10:50 - 11:35 CONCURRENT SESSIONS

Wednesday
December 6
10:50–11:35

 

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Supersizing Data Governance – The Micron Technology Case Study  
David Marco, President, EWSolutions
Michael McNea, Metadata Manager, Micron Technology
Wayne Radue, Enterprise Data Governance Program Manager, Micron Technology

Micron Technology, Inc. is one of the top semiconductor manufacturing companies in the world. This Fortune 250 Company manufactures dynamic random-access memory, flash memory, and solid-state drives. Its consumer products are marketed under the brands Crucial Technology and Lexar.

For many years Micron has had many stops and starts in their data management efforts. In the past year, they have invested into building a true world-class data governance program. In this case study attendees will learn the best practices that Micron is using to expand their data governance program into an enterprise wide activity. In addition, Micron has learned that metadata management is an absolute requirement for successful data governance.

  • Micron’s Data Management Journey
  • How to Prepare Executives for Enterprise Data Management
  • Data Governance and Metadata Management Synergy
  • Selecting a Metadata Management Tool
  • Realities of Implementing a Metadata Management Tool
  • Building a Subject Area Model for Data Governance
  • Defining Key Data Governance Work Flows
  • How to Sell Data Management to Business Executives
  • The Future of Data Governance and Metadata Management at Micron

Level of Audience:
Intermediate

Speakers:
David Marco David Marco
President
EWSolutions

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  Michael McNea Michael McNea
Metadata Manager
Micron Technology

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Wayne Radue Wayne Radue
Enterprise Data Governance Program Manager
Micron Technology

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Wednesday
December 6
10:50–11:35

 

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Bottom-up Data Governance
Russ Starck, Senior Data Quality Consultant, Datasource Consulting

Many organizations take the “top-down” approach to their data governance programs and think big from the onset. While this method can work in some cases, the complexity, cost, and enterprise-wide scope often prolong the initiative and drive it over budget.

In this presentation, the focus will be on the benefits of “bootstrapping” your data governance program – choosing projects, processes, or business domains experiencing the most pain, and therefore the most in need of data governance, before expanding to the business as a whole.

Topics to be covered will include:

  • Growing the initiative iteratively from the bottom-up
  • Focusing your initial efforts on the grassroots level: the business users who are closest to the data
  • Documenting the procedures you create and incorporating them into the core policies and procedures
  • Managing the balance between the desire for C-level involvement and the need to continue building from the grassroots level

Level of Audience:
Intermediate

Speaker:
Russ Starck Russ Starck
Senior Data Quality Consultant
Datasource Consulting

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Wednesday
December 6
10:50–11:35

 

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Establishing A Data Stewardship Tactical Working Group
Jennifer Kish, Data Governance & Quality Lead, Dept. of Homeland Security
Curtis Ross, Business Intelligence Lead, Dept. of Homeland Security

This presentation walks participants through the critical and supporting components of establishing a data stewardship model to achieve data quality and governance.

This session will focus on:

  • Establishing a set of standards and processes to ensure reference data is formally managed throughout the enterprise within a transparent environment that supports the Data Community and aligns to the DHS Data Governance policies
  • Formally appointing and supporting data stewards -Reference Data and Domains
  • Long term and short goals
  • How stewards can become the authoritative source for data request and information sharing

Level of Audience
Introductory

Speakers:
Jennifer Kish Jennifer Kish
Data Governance & Quality Lead
Dept. of Homeland Security

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  Curtis Ross Curtis Ross
Business Intelligence Lead
Dept. of Homeland Security

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11:35 - 11:45 ROOM CHANGE
11:45 - 12:30 

Wednesday
December 6
11:45–12:30

KEYNOTE
PANEL

 

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Tips from the Trenches
Practitioner Panel
If I Only Knew Then What I Know Now

Moderator: Len Silverston, President, Universal Data Models
Panelists:
Susan Yamin, Enterprise Data Governance Director, Ally Financial Inc.
Ted Curran, Senior Director, Chief Data Governance Officer, UPMC Insurance Services Division
Maggie Hubble, Director, Data Governance, Quicken Loans

In this closing keynote session, successful practitioners with mature data governance programs will discuss their experiences and lessons learned in implementing and sustaining data governance and data quality programs.

Takeaways include:

  • If you had to start over again what would you do differently
  • Overcoming roadblocks
  • How to address the ongoing challenges on an established program
  • Tips for continued data governance success
Moderator:
Len Silverston Len Silverston
President
Universal Data Models

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Panelists:
Susan Yamin Susan Yamin
Enterprise Data Governance Director
Ally Financial Inc.

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  Len Silverston Ted Curran
Senior Director, Chief Data Governance Officer
UPMC Insurance Services Division

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Maggie Hubble Maggie Hubble
Director, Data Governance
Quicken Loans

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12:30 - 1:30 LUNCH AND EXHIBITS
1:30 - 4:45 AFTERNOON WORKSHOPS

Wednesday
December 6
1:30–4:45

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W1 - 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 workshop 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:

  • Developing Data Governance as part of Enterprise Data Management Framework
  • Creating Essential Data Governance and Data Quality Artifacts
  • Measuring the Success of Data Governance and Data Quality
  • Sustaining a Data Governance Program with Essential Artifacts and Processes
  • Challenges to a Successful Data Governance Program
  • Adapting for Cultural Change with Data Governance

Level of Audience:
Intermediate

Speaker:
David Marco David Marco
President
EWSolutions

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Wednesday
December 6
1:30–4:45

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W2 - Zen and the Art of Data Governance:
Organizational Change and Human Behavioral Techniques Crucial to Data Governance

Len Silverston, President, Universal Data Models
Zen means ‘awareness’. This means acting from a clear understanding of what is actually happening.

In many data governance efforts, there are critical human behavior elements that often are not addressed and for which we are even unaware. These are often what makes the difference between failure and success. 

For instance, how would you respond to: “We completely support enterprise wide data governance. However, we, on this project, 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.”

This workshop will discuss key aspects of data governance, share what has worked and not worked in many case studies, and provide techniques and exercises to address the ‘human side’ of data governance.  

Specifically, this workshop will address:

  • Charters, purpose, and clear intention to get real buy-in
  • Beyond roles and responsibilities to core motivations
  • Communication techniques to understand needs and issues
  • Trust frameworks to facilitate issue resolution and common data semantics
  • Addressing conflict with awareness intervention
  • Applying wisdom to set and achieve metrics

For each of these areas, the course will share important techniques, tools, and frameworks which involved the human aspects of data governance and how to be aware and mindful of critical elements for data governance success.

Level of Audience
Introductory

Speaker:
Len Silverston Len Silverston
President
Universal Data Models

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Wednesday
December 6
1:30–4:45

 

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W3 - Meeting the Challenge of the Global Data Protection Regulation (GDPR)  
Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

The Global Data Protection Regulation (GDPR) is one more step in the evolution of regulatory frameworks for data management.  While it is unlikely to be the final step, it is a significant advance over previous efforts, and represents a minimum standard for assuring data privacy.  All companies that do business in the EU are affected, and must be in compliance by May 25, 2018.  This tutorial describes what GDPR requires from a data governance and data management perspective.  It explores how some of the major requirements of the regulation can be met.  The multidisciplinary nature of these efforts, involving many organizational units in the enterprise, is highlighted.  The future of data privacy, which is likely to grow more complex as case law evolves around the GDPR, is also examined, together with the business advantages of compliance with the regulation.  

Attendees to the tutorial will learn:

  • What the GDPR is, how it came to be, and where it fits with other initiatives
  • The impact of data governance and data management
  • What the Data Governance function must do to ensure compliance
  • The role of methodology, organization, and technology in meeting the challenge of GDPR
  • Where data privacy is going, and how to anticipate future changes

Level of Audience:
Intermediate

Speaker:
Malcolm Chisholm Malcolm Chisholm
Chief Innovation Officer
First San Francisco Partners

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