Conference Sessions
December 5, 2017

Tuesday
December 5
7:00–6:00
Registration
Tuesday
December 5
7:00–8:30
Continental Breakfast
7:45 - 8:30 

Tuesday
December 5
7:45–8:30

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The Data Governance Professionals Organization Winter Meeting
 

 

8:40 - 8:45 

Tuesday
December 5
8:40–8:45

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Welcome
 

 

8:45 - 9:45  KEYNOTE

Tuesday
December 5
8:45–9:45

KEYNOTE

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KEYNOTE: Emerging Trends in Data Sovereignty, Big Data and the Internet of Things
Sunil Soares, Founder & Managing Partner, Information Asset
U.S. data governance programs cannot be successful without considering emerging trends. Data Sovereignty regulations around the world have placed an increasing focus on citizen data privacy. While many U.S. data governance programs may not be immediately impacted by regulations such as the European Union GDPR, U.S. regulators will become more active in this area. At the same time, Big Data and the Internet of Things are providing ever increasing opportunities to data scientists to derive new insights. However, data governance programs need to also consider how metadata management, data stewardship and data quality will add value in this new world.

Level of Audience:
All Levels

Speaker:
Sunil Soares Sunil Soares
Founder & Managing Partner
Information Asset

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arrow9:45 - 10:15 COFFEE BREAK
10:15 - 11:00 CONCURRENT SESSIONS

Tuesday
December 5
10:15–11:00

 

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Supporting Agile Development with Data Governance Leadership 
Ted Curran, Senior Director, Chief Data Governance Officer, UPMC Insurance Services Division
There is a huge movement for companies moving from traditional software development models including waterfall to Agile.  Data Governance is a key component of a successful transition to Agile for development.  Ensuring clearly quantifiable goals (e.g. measured quality, productivity, stakeholder satisfaction) and then measuring and living up to these objectives is a key value component.  Guidance such as database design conventions, policies and procedures needs, modeling style guidelines, data naming conventions, and report design guidelines get adopted when people see the value versus frustration of everyone doing their own thing, making integration/consistency difficult and resources wasted.

The session will focus on tactics, strategies and different scenarios on how a Data Governance leader can effectively support the Agile process and add value to the organization.

Topics include:

  • Role of Data Governance Leader in Agile process
  • Supporting Spring Planning and Sprint Reviews
  • Ensuring sustainable data processes are executed when moving from Project to Production/Operations
  • Role as a Stakeholder/Fiduciary in the Agile process

Level of Audience:
Intermediate

Speaker:
Ted Curran Ted Curran
Senior Director, Chief Data Governance Officer
UPMC Insurance Services Division

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Tuesday
December 5
10:15–11:00

 

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Operationalizing Data Governance Quickly at Quicken Loans
Maggie Hubble, Director, Data Governance, Quicken Loans
In this session you will learn hear tips and lessons on how to quickly implement Data Governance

Topics include:

  • How to build a data governance team
  • Establishing a partnership between IT and the business
  • See how Data Governance success is driven through SDLC (waterfall, agile) engagement
  • Learn how to drive compliance to data standards      
  • See examples of effective reporting and dashboards in support of the data governance program

Level of Audience:
Introductory

Speaker:
Maggie Hubble Maggie Hubble
Director, Data Governance
Quicken Loans

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arrow11:00 - 11:10 ROOM CHANGE
11:10 - 11:40 DATA GOVERNANCE SOLUTIONS

Tuesday
December 5
11:10–11:40

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arrow11:40 - 12:45 Lunch AND Roundtables
12:45 - 1:30 CONCURRENT SESSIONS

Tuesday
December 5
12:45–1:30

 

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Creating a Sustainable Mature Data Centric Environment in State Government
Virginia Hambric, Project Manager, State of Michigan
Rob Surber, Director, Enterprise Portfolio Management Office, State of Michigan
Governor Snyder’s vision of citizen centric government is built on a foundation of data governance, recognition of data as a state asset, using data to improve the quality of service delivery, promoting a “share first” environment, and leveraging enterprise data related services.

Creating a sustainable mature data centric environment across 22 state departments requires not only efficient and effective technology solutions, but also and equally important, collaboration, governance, data driven decision making, relevant metrics, and a solid foundation of data centric standard processes. 

Key success factors for Michigan’s progress in realizing the Governor’s vision of citizen centric government include:

  • Focus on enabling the vision of citizen centric government
  • Engaged and active cohort of 25 Chief Data Stewards representing all Michigan departments and organizational units
  • Effective leadership and governance by an EIM Steering Committee composed of executives from 12 departments
  • Embedding EIM in the State Unified Information Technology Environment (SUITE), which is the foundation of all project management and system engineering practices
  • Establishing enterprise technology solutions for Citizen Master, Business Glossary, Data Sharing, Data Visualization, and Open Data

Level of Audience:
Intermediate

Speakers:
Virginia Hambric Virginia Hambric
Project Manager
State of Michigan

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  Rob Surber Rob Surber
Director, Enterprise Portfolio Management Office
State of Michigan

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Tuesday
December 5
12:45–1:30

 

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Mission Impossible? How Business and IT Can Partner to Craft and Implement a Cohesive Data Strategy
Erik Ferrone, Senior Manager, Finance and Actuarial Data Governance, TIAA
Have you embarked on your mission without a shared understanding of what needs to be accomplished or why? Do Business and IT have a shared strategy from which to work, or is each operating according to their own tactical playbook? Being successful in Data Governance and Data Management without a shared Data Strategy can make things seem impossible, but there is a better way! A shared and cohesive Data Strategy can serve as a guidepost for making clear, timely decisions, which link to business goals and objectives, as well as IT best practices for Data Architecture.

This session will provide answers to the following questions, and more:

  1. What is a Data Strategy, and why do you need one?
  2. What are best practices in creating a strategy and how can you leverage them to your advantage?
  3. How can one work with counterparts in IT, or the Business, to understand goals and objectives and tailor a shared Data Strategy?
  4. What are the components of our Data Strategy, and how did we form them?
  5. How can you move effectively from forming your Strategy to implementation?

Level of Audience:
Introductory

Speaker:
Erik Ferrone Erik Ferrone
Senior Manager, Finance and Actuarial Data Governance
TIAA

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arrow1:30 - 1:40 ROOM CHANGE
arrow1:40 - 2:10 DATA GOVERNANCE SOLUTIONS

Tuesday
December 5
1:40–2:10

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arrow2:10 - 2:20 ROOM CHANGE
arrow2:20 - 3:05 CONCURRENT SESSIONS

Tuesday
December 5
2:20–3:05

 

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Best Practices for Data Classification at Dun and Bradstreet
Lisa Baughman, North America Data Governance Leader, Dun & Bradstreet
This session will cover the data classification process from beginning to end.  It is based on the best practices in use by Enterprise Data Governance and Data Stewardship at Dun and Bradstreet, a leading provider of business credit data.  Data Sensitivity Classifications will be used as a working example.  We will start by explaining the importance of data classifications and walk through the types and levels of classifications required to meet your organization’s needs.  Next, we’ll review the culture change associated with making the data classification process part of your organization’s business as usual.  Helping data stewards perform data classifications will be covered.  We’ll also touch on ensuring you are prepared for global data differences between sensitive and personal data.  Lastly, we’ll touch on ensuring appropriate data handling controls are in place based on the classifications assigned to your data.   

Level of Audience:
Intermediate

Speaker:
Lisa Baughman Lisa Baughman
North America Data Governance Leader
Dun & Bradstreet

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Tuesday
December 5
2:20–3:05

 

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Data Quality as a Commodity Service of Data Governance
Jo Sannes, Lead Data Governance Advisor, JLL
Peter Serff, Partner, Centennial Data Group
Jonathan Stevens, Managing Partner, Centennial Data Group
At JLL, we manage the data used by our corporate clients, globally and across diverse industries.  The data must be accurate, thorough, consistent, reliable and widely understood.  We implemented the LightHouse Program, a central data quality engine and a global rule catalog, that delivers configurable data quality scorecards and allows for distributed rule development to help engage the organization in data governance activities.  It leverages and monitors board-approved critical data elements, standard reference data and related mappings, and the data standards supported by global data stewardship programs. 

In this session, we will demonstrate the effectiveness of reusable scorecards, the client onboarding model, standard operating models and the integration to the data helpdesk. This Data Quality Lighthouse Program enables us to offer data governance as a commodity service to our clients. We believe this is an innovation of data governance that is unique and promising.

Level of Audience:
Intermediate

Speakers:
Jo Sannes Jo Sannes
Lead Data Governance Advisor
JLL

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  Peter Serff Peter Serff
Partner
Centennial Data Group

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Jonathan Stevens Jonathan Stevens
Managing Partner
Centennial Data Group

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arrow3:05 - 4:00 ICE CREAM RECEPTION AND EXHIBITS OPEN
4:00 - 4:45 CONCURRENT SESSIONS

Tuesday
December 5
4:00–4:45

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How an Organization Leveraged the Data Debt Metric to Sustain Data Governance
John Ladley, President, Chief Delivery Officer, First San Francisco Partners
Gwen Thomas, Corporate Data Advocate, International Finance Corporation
"Data debt" is a term taken from the Agile development world and the concept of "technology debt." As a concept and metric, it can reveal the huge costs incurred when delaying doing the "right things" with data and information.

This session highlights International Finance Corporation/World Bank Group’s successes in leveraging the data debt concept. It will offer suggestions on how you can apply this powerful metric to sustain your enterprise information management or data governance program.

Level of Audience
Intermediate

Speakers:
John Ladley John Ladley
President, Chief Delivery Officer
First San Francisco Partners

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  Gwen Thomas Gwen Thomas
Corporate Data Advocate
International Finance Corporation

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Tuesday
December 5
4:00–4:45

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Data Governance in Service of Data Science: Rethinking the Value of Data
Gary Mesick, Manager, Analytics Data Warehouse and Data Governance, The Boeing Company
When Boeing brought together its data science and analytics resources into one organization, their five-year-old data governance group became part of the newly-designated Boeing Global Services Analytics. The data governance catalog they had created, with more than 350,000 terms from more than 240 data sources, became a resource for data scientists to find and investigate available data as they form and examine hypothesis on their way to developing analytics solutions. This process of repurposing data has become key to how data governance assesses what constitutes valuable data.

This presentation will address:

  • The team’s process from data discovery through stewardship.
  • Why data governance focused on a descriptive cataloging of the universe of data.
  • How data value emerges from giving data a new context.
  • Lessons learned about helping a data governance effort to thrive and adapt in the face of change.

Level of Audience:
Intermediate

Speaker:
Gary Mesick Gary Mesick
Manager, Analytics Data Warehouse and Data Governance
The Boeing Company

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4:45 - 6:45 RECEPTION AND EXHIBITS
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