Conference Sessions - June 5, 2019

Wednesday
June 5
7:30
–8:30
Registration and Continental Breakfast
arrow

Wednesday
June 5

7:45–8:15

arrowBack to top

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

arrowTo Speaker's BIO
arrow8:30 - 9:15 CONCURRENT SESSIONS

Wednesday
June 5
8:30–9:15

 

arrowBack to top

Grow Enterprise Information Governance through Strategic Programs
Jenna Zhou, Sr. Consultant, Dell Technologies
Steven Carlson, Director, IT Information Governance, Dell Technologies

Establishing and growing enterprise information governance is very challenging in many companies due to its complexity and cross functional nature.  Many people see the value of the enterprise information governance, however, at the same time they struggling to quantify the value, especially the direct benefits for a solid business case to keep investing and growing enterprise information governance into the future.

This presentation summarizes the work done in the last three years.  During the presentation, we will share our practical experiences in establishing and growing enterprise information governance through strategic programs such as Workday Migration, EMC Integration, Customer Experience, and most recently the GDPR readiness program.

Through this presentation, the audience will learn:

  • How to leverage the Enterprise Information Governance capability model
  • How to identify the opportunities and early adopters
  • Key takeaways from our practical journey

Level of Audience
Intermediate

Speakers:
Jenna Zhou Jenna Zhou
Sr. Consultant
Dell Technologies

ArrowTo Speaker's BIO

  Steven Carlson Steven Carlson
Director, IT Information Governance
Dell Technologies

ArrowTo Speaker's BIO

arrow

Wednesday
June 5
8:30–9:15

 

arrowBack to top

5 Reasons Why a Project Manager Could Be Your "Silver Bullet" for Early-Stage Data Governance Challenges
Tim Musgrove, CTO, Callisto Media Publishing
Zuad Oropeza, Senior Project Manager, Callisto Media Publishing

It's well known that many organizations struggle to implement Data Governance programs in the early stages the first six to eighteen months. 

In our view, many early problems relate to the lack of an experienced technical project manager being formally assigned to the program and this is true even when a "Data Governance Coordinator" with other relevant experience (such as having been a Data Analyst, BI specialist or DBA) is already assigned to the program.

Namely, there are five problems common to early-stage DG initiatives that we think are completely solvable by an experienced Project Manager who is given the right mandate. 

These are:

  • Time commitments tend to be under-estimated.
  • Goals tend not to be "SMART".
  • Dependencies between DG projects and sub-projects tend to be overlooked.
  • Progress visibility tends to be vague or non-existent.
  • Prioritization of projects tends to be wheel-that-squeaks-loudest, or purely top-down "from a 10,000-ft elevation".

We explain why the strengths of a seasoned technology Project Manager are ideally suited to fixing or preventing all five of these problems. For each one, we provide specific examples from our real-world case studies.

Level of Audience
Introductory
Speakers:
Tim Musgrove Tim Musgrove
CTO
Callisto Media Publishing

arrowTo Speaker's BIO

  Zuad Oropeza Zuad Oropeza
Senior Project Manager
Callisto Media Publishing

arrowTo Speaker's BIO

arrow

Wednesday
June 5
8:30–9:15

 

arrowBack to top

Tips from the Trenches - If I Knew Then What I Know Now
Practitioners Panel
Moderator:
Len Silverston, President, Universal Data Models
Panelists:
Cynthia Parsons, Consultant, IT Data & Analytics, Nationwide Insurance
Jayne Dutra, Data Governance Program Manager, Multnomah County
Jimm Johnson, Data Governance Program Manager, Scripps Health
Kevin Shannon, Global Head of Enterprise Data Governance, Dun & Bradstreet

In this 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

Topics include:

  • If you had to start over again what would you do differently
  • Determining and continually reassessing business commitment to the strategy
  • Overcoming roadblocks
  • Demonstrating the value of the program and establishing business metrics
  • How to select and keep data stewards engaged
  • Innovative ideas to communicate and get the message out to the entire organization
  • Tips for continued data governance success

Level of Audience
All Levels

Moderator:
Len Silverston Len Silverston
President
Universal Data Models

arrowTo Speaker's BIO


Panelists:
Cynthia Parsons Cynthia Parsons
Consultant, IT Data & Analytics
Nationwide Insurance

arrowTo Speaker's BIO

  Jayne Dutr Jayne Dutra
Data Governance Program Manager
Multnomah County

arrowTo Speaker's BIO

         
Jimm Johnson Jimm Johnson
Data Governance Program Manager
Scripps Health

arrowTo Speaker's BIO

  Kevin Shannon Kevin Shannon
Global Head of Enterprise Data Governance
Dun & Bradstreet

arrowTo Speaker's BIO

arrow

Wednesday
June 5
8:30–9:15

 

arrowBack to top

Pitching the Big Picture
Lance Tucker, Associate Director of Technology Decision Support, Application, and Architecture Services, Boston College

Identifying and cataloging the systems of record for a sizable organization can be a daunting task.  Universities are challenged with supporting common administrative functions across disparate departmental leaderships. Ideas on tooling and data collection practices differs.  Customization is common. taff disagree on how best to serve their units. 

A complex system evolves.  Determining application redundancies is a manual effort as is locating sensitive assets.

For one year we worked on cataloging over five hundreds sets of information and developing metadata around the types of information that support our business processes.

  • What did we learn? 
  • What questions can now be answered? 
  • How can we maintain this information? 
  • How did we sell the value of this information?
  • Who can do the work to make the data effective and robust? 

This presentation will cover our answers to these questions and how this was an effective tool to introducing our constituents to information governance.

When we started our information governance effort (3 years ago) we dove right into terms and metadata. This proved to be a tough sell to our functional users. I wish we had taken a look at the big picture first.  This is proving to be a much easier approach to engaging and collaborating with our business partners.

Level of Audience
Introductory

Speaker:
Lance Tucker Lance Tucker
Associate Director of Technology Decision Support,
Application, and Architecture Services
Boston College

arrowTo Speaker's BIO

arrow

Wednesday
June 5
8:30–9:15

 

arrowBack to top

Sensitive Data Management: The Convergence of Enterprise Data Management, Privacy, Cybersecurity and Technology
Sunil Soares, Founder & Managing Partner, Information Asset

Sensitive Data Management is an emerging discipline that reflects the convergence of Enterprise Data Management, Privacy, Cybersecurity and Technology. In this session, Sunil Soares will cover the following topics:
  • Emerging trends such as data privacy regulations that are driving the need for data governance
  • The importance of metadata repositories to address privacy regulations such as the GDPR and the CCPA
  • Driving the value of metadata tooling to address cybersecurity and defense-in-depth strategies
  • The role of the Chief Data Officer and Data Governance Lead
  • The role of the Application Owner as opposed to the Data Owner or Data Steward
    Extending the role of existing data governance and metadata tools to address privacy and cybersecurity needs

Level of Audience
Intermediate

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

arrowTo Speaker's BIO

9:15 - 9:30 Room Change
arrow

Wednesday
June 5

9:30–10:00

 

arrowBack to top

KEYNOTE: Winner of the Annual DGPO Data Governance Best Practice Award
Scott Peachey, Director, Enterprise Data Governance & Quality Assurance, Nationwide Insurance
Cynthia Parsons, Consultant, Enterprise Data Governance & Quality Assurance, Nationwide Insurance
The DGPO Data Governance Best Practice Award is given to the practitioners within an organization in recognition of the business value and technical excellence they have achieved in the design and implementation of an outstanding data governance program.

In this keynote presentation learn why Nationwide Insurance is the Winner of the 2019 DGPO Data Governance Best Practice Award.

In this keynote presentation, Scott Peachey (Director, Enterprise Data Governance & Quality Assurance) and Cynthia Parsons (Consultant, Enterprise Data Governance & Quality Assurance) will explore Nationwide Insurance's journey from its "humble" data governance beginnings to standing on stage as recipient of the 2019 DGPO Data Governance Best Practice Award.

Session topics include:

  • Why data governance is important
  • Nationwide's journey from a historical perspective
  • Our organization structure - complete with core functions and a look at the depth of the program
  • Nationwide's data governance approach, including -
    • Service offerings
    • Roles and responsibilities defined
    • Communication and marketing approach
    • Data governance policy, data standards, procedures and training
  • Approach to measuring business value and success

Level of Audience
All Levels

Speakers:
Scott Peachey Scott Peachey
Director, Enterprise Data
Governance & Quality Assurance
Nationwide Insurance

arrowTo Speaker's BIO

  Cynthia Parsons Cynthia Parsons
Consultant, Enterprise Data
Governance & Quality Assurance
Nationwide Insurance

arrowTo Speaker's BIO

10:00 - 10:45 Break and Exhibits Open
10:45 - 11:15 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS

Wednesday
June 5
10:45–11:15

 

arrowBack to top

The erwin EDGE
Danny Sandwell, Product Marketing Director, erwin, Inc.

erwin, Inc. has spent the last three years transforming its industry-leading data modeling software into the ultimate data governance platform that includes enterprise modeling, data stewardship capabilities, metadata management and intelligent automation. See how these disciplines work in tandem for data-driven insights, agile innovation and business transformation all while mitigating risks to ensure regulatory compliance and peak operational performance.

Level of Audience
All Levels

Speaker:
Danny Sandwell Danny Sandwell
Product Marketing Director
erwin, Inc.

arrowTo Speaker's BIO

arrow

Wednesday
June 5
10:45–11:15

 

arrowBack to top

Aligning Data Policies to Make Information Quality Job #1
Jim Orrison, Principal Consultant, XTIVIA
Most industries are high-volume, low-margin in nature and must follow an “operational discipline” to survive and then an “operational obsession” to thrive.  Manufacturing and Retail know well that Quality is critical to success and catastrophic in failure.  Therefore, Data Governance, when making Quality a Deming-like focus, provides a sharp objective all that one undertakes.

Data Policies can and SHOULD be defined in all components of the Data ecosystem: Storage, Architecture, Reference Data, Entities, Classification, Security, Integration, Sourcing and Quality.  However, most practitioners struggle to find the glue and catalyst for these Policies to move from words to action. 

This presentation reviews organizations who have aligned their policies to Business Objectives but motivated them to action in measuring Data Quality.  In pursuing Data Quality as the scorecard, Data Policies take life to help achieve the larger organizational goal.  Likewise, ineffective policies will be refactored, rather than ignored, to create laudable objectives with unquestionable return. 

Learning Points will be presented through a variety of industry examples in:

  • The Genesis of specific Data Policies and gaining Business Acceptance
  • Breathing Life into Policies for Action
  • Attaching Data Problems onto Data Policies for Remedies
  • Getting what you Measure:  Baseline Quality Metrics and Report Regularly
  • Implementation & Refactoring

Level of Audience
All Levels

Speaker:
Danny Sandwell Jim Orrison
Principal Consultant
XTIVIA

arrowTo Speaker's BIO

arrow

Wednesday
June 5
10:45–11:15

 

arrowBack to top

What's in a Business Glossary Anyway?
Gal Ziton, Co-founder & CTO, Octopai

Data Dictionary? Business Glossary?

There's a lot of terminology floating around out there, so how well can we differentiate between these? What are the benefits of one over the other? What’s the role of metadata management in each?

What’s in a Business Glossary anyway?

We’ll break down the following for you:

The differences between a data dictionary and a business glossary for Business Intelligence (BI)
The role of metadata management in each    What happens when you automate a business glossary

Level of Audience
All Levels

Speaker:
Gal Ziton Gal Ziton
Co-founder & CTO
Octopai

arrowTo Speaker's BIO

11:15 - 11:30 Room Change
11:30 - 12:15 CONCURRENT SESSIONS

Wednesday
June 5
11:30–12:15

 

arrowBack to top

Move Beyond Risk: Build a Data Governance Program That Pays for Itself
Curtis Mischler, Management Consultant, Delta Dental of Michigan
Justifying your Data Governance Program as an essential component of Enterprise Risk Management can be very successful, but it is based on fear of the headline or non-compliance or negative outcome, and benefits can be hard to measure (how do you prove something would have happened without Data Governance?).  Delta Dental of Michigan (DDMI) has taken the approach that their Data Governance Program should also be opportunity-driven and "pay for itself".  This has created an environment where funding is assured (demonstrated savings to date more than pay for the cost of the program), the narrative is tangible and positive (real-world benefits rather than potential avoided disasters), and the CDO, CIO, and other executives actively look for opportunities where Data Governance can play a role.

In this presentation you will learn:

  • How DDMI's Data Governance Program has been structured from the very beginning to be opportunity-driven and pay for itself
  • Specific examples where value/benefits have been realized
  • Where to find/how to identify potential opportunities
  • The importance of tracking benefits and establishing your narrative (sound bites!)
  • How to balance the pursuit of opportunity while still taking a steady approach to building your overall program

Level of Audience
Introductory

Speaker:
Curtis Mischler Curtis Mischler
Management Consultant
Delta Dental of Michigan

arrowTo Speaker's BIO

arrow

Wednesday
June 5
11:30–12:15

 

arrowBack to top

How Are You Managing Your Data Governance Program if You Aren’t Measuring It?
Amirah Fayek, Manager, Corporate Planning and Performance, The Canadian Medical Protective Association

Peter Drucker was right when he wrote: “What gets measured gets managed.”  Is your data governance program working?  How do you know?  Performance measurement is a critical component to successfully managing data governance and ensuring impact and effectiveness of your efforts.  Whether you are struggling to determine impact, or demonstrate the value of the program across your organization, developing a measurement framework will help you tell your story.  This presentation describes and demonstrates how to go about developing a useful performance framework and measure the maturity of your data governance program.    See first-hand the evolution from a strategy document and roadmap, to creation of a program logic model, measurement and reporting.

Primary takeaways:

  • How to move from a strategy to actual measurement
  • Ideas on various measures and measurement techniques
  • Program logic model example and reporting methods
  • Approach to measuring program maturity

Level of Audience
Intermediate

Speaker:
Amirah Fayek Amirah Fayek
Manager, Corporate Planning and Performance
The Canadian Medical Protective Association

arrowTo Speaker's BIO

arrow

Wednesday
June 5
11:30–12:15

 

arrowBack to top

How to Prepare for a Successful Software Implementation and Roll Out Data Governance 
Tamara Dusch, Manager of Data Governance and Regulatory Reporting, Safety National
Nam Tran, Director of Global Data Governance Practice, Infogix

Safety National, a member of Tokio Marine Group, is a leading specialty insurance and reinsurance provider. Safety National kicked off their Data Governance software implementation in early 2018. As with any type of implementation, including data governance, hindsight is always 20/20. Therefore we will take a look back on the journey and share our step-by-step process. Some of the key needs for implementation that we will explore include:
  • System integration requirements
  • Data governance ownership model
  • Data governance requirements
  • People involvement (implementation versus rollout)
  • Rolling out & promoting the data governance solution

We will also share the result of the implementation and the current state of Safety National’s data governance program. Check out this session and you will learn how to prepare for and have a successful data governance implementation in your company.

Level of Audience
Introductory

Speakers:
Tamara Dusch Tamara Dusch
Manager of Data Governance and Regulatory Reporting
Safety National

arrowTo Speaker's BIO

  Nam Tran Nam Tran
Director of Global Data Governance Practice
Infogix

arrowTo Speaker's BIO

arrow

Wednesday
June 5
11:30–12:15

 

arrowBack to top

Developing an Academic Curriculum for Data Governance
David Loshin, President, Knowledge Integrity

Despite the growing importance of data governance and demand for professionals skilled in the practices and procedures for data governance and data quality, there are few professional academic programs that provide any kind of concentration or focus on developing data governance skills. In this talk, I share my experience in assessing the need and in developing coursework to provide post-graduate training in information governance, data quality, and information risk management, and our plan for engaging students and inspiring professional development.

Attendees will hear about:

  • Motivating factors for academic programs in data governance
  • Experiences in proposing and developing graduate-level coursework in data governance
  • Current status and future plans
  • Ways the DGIQ community can help

Level of Audience
Introductory

Speaker:
David Loshin David Loshin
President
Knowledge Integrity

ArrowTo Speaker's BIO

arrow

Wednesday
June 5
11:30–12:15

 

arrowBack to top

Enhancing Precision Marketing with Data - The DPZ Journey
Cliff Miller, Enterprise Data Architect, Domino's Pizza

We’ll explore how Domino’s elevated our game in the arena of targeted marketing and how our master data/governance helped us advance that objective, where data quality provides sales quantity. 

Level of Audience
Introductory

Speaker:
Cliff Miller Cliff Miller
Enterprise Data Architect
Domino's Pizza

ArrowTo Speaker's BIO

12:15 - 1:30 LUNCH
1:30- 2:15 CONCURRENT SESSIONS

Wednesday
June 5
1:30–2:15

 

arrowBack to top

Data Quality 2.0: How to Unlock Value throughout the Organization
Philippe Bettler, Director, Business Ontology, Dun & Bradstreet

Data quality has been at the center of organization’s KPIs and objectives for the longest time, tracking availability, accuracy, timeliness and other metrics of data assets across boundaries.

As more tools have become available, data quality actors have refined their deep and vertical understanding of data quality. However, the scale and complexity of data assets has exploded, driving a deeper trench between data producers and consumers where the semantic of data and its context has been lost along the way. As regulatory and efficiency pressures mount, other dimensions of quality including unicity - identification, deeper context, lineage are becoming essential to facilitate more clarity and efficiency in the communication between cross-functional teams.

In this presentation, we will cover the following topics:

  • How traditional data quality is the driving force to measure data health
  • Where the traditional data quality approach may not cover important aspect of the data
  • How D&B is approaching a new vision of data quality
  • How semantic modeling has helped cross the chasm between business and technical users
  • The business value this is bringing to cross-functional areas including Sales, Content Management, Technology and Customer Support.

Level of Audience
Intermediate

Speaker:
Philippe Bettler Philippe Bettler
Director, Business Ontology
Dun & Bradstreet

arrowTo Speaker's BIO

arrow

Wednesday
June 5
1:30–2:15

 

arrowBack to top

Dos and Don'ts for Emerging Data Governance Programs
Rene Rydberg, Manager, Data Strategy and Governance, John H. Wiley & Sons

Many data governance programs emerge from a senior leader recognizing the need for governance, and charge an aspiring practitioner with program development, with very little direction or guidance given. The aspiring practitioner very frequently cannot find training or guidance within their organization, and looks to Google which can provide a wealth of information, but cannot tell the practitioner how well aligned each model is to their organization, goals, or drivers.

This presentation aims to communicate several easily avoidable pitfalls that will not be apparent to the leader of an immature program.

Such as:

  • Getting and keeping engagement: The role of relationship management -Data vs. Reports: Articulating the difference.
  • Decision making: Knowing and following the true North of your program, IE your Executive Sponsor's driver.
  • Defining your activities.
  • Managing scope-creep and non-DG requests -Avoiding shadow-roles in your governance program -Transparency when wearing multiple hats -Pursue training and mentorship outside your organization -Be Optimistic!

Level of Audience
Introductory

Speaker:
Rene Rydberg Rene Rydberg
Manager, Data Strategy and Governance
John H. Wiley & Sons

arrowTo Speaker's BIO

arrow

Wednesday
June 5
1:30–2:15

 

arrowBack to top

A Marathon not a Sprint: Using GDPR to Add Value and Sustain Gains Post 2018
Katherine O'Keefe, Data Governance & Privacy Consultant, Castlebridge
GDPR has landed, but it’s not “back to business as usual”.   We’re at the start of a new normal, and it’s a marathon not a sprint.  As the hype and panic about GDPR implementation begins to settle, it’s important not to assume the race is won (or lost) and lose focus. Instead, you can leverage GDPR compliance to sustain benefit for your organization.  Katherine will discuss how to develop and sustain business value from GDPR compliance. Going beyond bare minimum “lip-service” to compliance and instead fostering an ethical compliance culture can be a competitive differentiator for organizations as well as generating business value internally. 

Key takeaways include:

  • Common pitfalls in Data Privacy Compliance efforts
  • Benefits of mature privacy practices
  • Talking about the bottom line
  • Ethical concepts
  • Vision, culture and organizational change

Level of Audience
Intermediate

Speaker:
Katherine O'Keefe Katherine O'Keefe
Data Governance & Privacy Consultant
Castlebridge

ArrowTo Speaker's BIO

arrow

Wednesday
June 5
1:30–2:15

 

arrowBack to top

Sutter Health's Data Governance Journey
Danielle Reno, Executive Director of Strategy & Operations, Sutter Health
Amber Johnson, Director of Enterprise Data Governance, Sutter Health
Danielle Reno, Executive Director of Strategy & Operations at Sutter Health Information Services, oversees the Enterprise Data Governance for Sutter Health system-wide, and provides strategic insight and tactical best practices for governance to support Data Quality, Security, Privacy, and Regulatory Compliance.

Danielle will share Sutter Health's data governance journey over the past 5 years, including:
  • Data Governance, Data Stewardship, and Data Quality
  • Strategies for Healthcare Organizations to ensure a Governance Operating Model
  • Creating data governance Policy and Quality Metrics (Sponsorship/Participation and overview of Playbook for standardization of KPIs)
  • Designing and Implementing a Data Strategy
  • Implementing Data Sharing Frameworks
  • Data Literacy Use Cases
  • Data Retention and Destruction Policy
  • Sutter Health's Data Governance Center (Report Repository)

Level of Audience
Intermediate

Speakers:
Danielle Reno Danielle Reno
Executive Director of Strategy & Operations
Sutter Health

ArrowTo Speaker's BIO

  Amber Johnson Amber Johnson
Director of Enterprise Data Governance
Sutter Health

ArrowTo Speaker's BIO

arrowarrow

Wednesday
June 5
1:30–2:15

 

arrowBack to top

How Far You’ll Go: Wayfinding the Path to Data Maturity
Cynthia Parsons, Consultant, IT Data & Analytics, Nationwide Insurance
Hannah Wamble, Specialist, IT Data and Analytics, Nationwide Insurance

It has been said, “Don’t turn your back on the ocean”, because when least expected the tide will come in and knock you off your feet. As with the ocean, taking one’s “eyes off the prize” of data maturity, will lead to a tide of competing priorities that easily overtake and drown data maturity efforts.  At Nationwide, we have pursued data maturity for a long time; however, it wasn’t until 2017 as an industry accepted model was engaged that we gained the needed focus. 

In this session, attendees will learn about:

  • “Knowing where you are, by understanding where you’ve been – Your Welcome.” We will provide a little history and reveal the ensuing pain points
  • Utilizing a standard data maturity model to set the enterprise-wide understanding and why this is important
  • Implementing a strategy to provide incremental progress toward maturing the data governance program by focusing on the common threads across capabilities

Level of Audience
Intermediate

Speakers:
Cynthia Parsons Cynthia Parsons
Consultant, IT Data & Analytics
Nationwide Insurance

arrowTo Speaker's BIO

  Hannah Wamble Hannah Wamble
Specialist, IT Data and Analytics
Nationwide Insurance

arrowTo Speaker's BIO

arrowarrow

Wednesday
June 5
1:30–2:15

 

arrowBack to top

Implementing an Effective Data Governance Communication Plan
Steve Zagoudis, CEO, MetaGovernance

Identifying the right stakeholders, then knowing the wants and needs of this audience is the most critical aspect of defining and implementing a Data Governance Communication Plan. Targeted messaging needs to resonate with the different stakeholders associated with Data Governance across the organization, and amongst external stakeholders. Effective Data Governance communication requires identifying the audience and providing the needed communication in the vocabulary associated with the different business processes, risks, data subjects and objectives. Sustainable Data Governance success requires communicating the degree to which business units are interdependent. Understanding the relationship between business units and the data they own, manage, and consume provides a clear path to defining these stakeholders. This session provides proven techniques to identify the different stakeholder groups and understanding how to reframe and deliver the needed communication messages based on their specific business drivers and data usage.

During this session, you will learn:

  • The components of an effective Data Governance Communication Plan.
  • Definition and implementation of registered governance stakeholders.
  • Techniques for dealing with continual organizational realignments and system changes.
  • Understanding the governance maps between process and data.
  • Discerning news versus noise in Data Governance communications.

Level of Audience
Intermediate

Speaker
Steve Zagoudis Steve Zagoudis
CEO
MetaGovernance

arrowTo Speaker's BIO

2:15 - 2:30 Room Change
arrow2:30 - 3:15 CONCURRENT SESSIONS

Wednesday
June 5
2:30–3:15

 

arrowBack to top

ROI on Data Quality
Sally McCormack, Competency Director, Data Quality, Datasource Consulting, an EXL Company

We all know that Data Quality is crucial to any company's data management program, but how do you build a data quality program based on business value? After all, every initiative is only as good as the value it provides.

This presentation will elaborate and provide a roadmap to help attendees:

  • Understand the cost of having low quality data
  • How to determine your ROI on a data quality implementation
  • How to communicate the cost to value to your stakeholders
  • Leverage the added benefits of implementing a data quality program within your data governance organization

Level of Audience
Intermediate

Speaker:
Sally McCormack Sally McCormack
Competency Director, Data Quality
Datasource Consulting, an EXL Company

arrowTo Speaker's BIO

arrow

Wednesday
June 5
2:30–3:15

 

arrowBack to top

Data Governance Top Down and Bottom Up
Carmen DiFelice, Manager, Data Quality and Governance, Independence Blue Cross

Learn how the Data Governance team at Independence Blue Cross delivered value to business stakeholders by publishing interactive executive reports with drilldown capabilities which have engaged analysts across the organization in standardizing business terminology, defining additional business metrics, refining data definitions and ensuring better data quality. 

In this session, we will step through a case study of how the team…

  • Identified common terminology, reporting segments and metrics by working with business stakeholders across the enterprise in data governance workgroups and training sessions
  • Developed OLAP cubes which pre-aggregate data along standardized reporting segments to provide key Independence business data available in Excel pivot tables
  • Promoted common segment definitions and advocated the use of "EZ Cubes" to reconcile reporting across the enterprise and to identify and illustrate data quality issues
  • Collaborated closely with business and technical resources to resolve data issues which appeared as anomalies or non-categorized reporting segments

Level of Audience
Intermediate

Speaker:
Carmen DiFelice Carmen DiFelice
Manager, Data Quality and Governance
Independence Blue Cross

arrowTo Speaker's BIO

arrow

Wednesday
June 5
2:30–3:15

 

arrowBack to top

From Spin to Control: Our Journey to Data Governance
Carl Sarrazolla, Enterprise Data Architect, Lamb Weston Holdings, Inc.

This presentation will share how Lamb Weston developed its Data Architecture/Governance strategy as it spun off from its parent company to become an independent publicly traded company.

What we'll share in this presentation:

  • The challenges we faced as a new '30 year old' company
  • The issues that were highlighted as a result of the spin off
  • Getting business buy-in
  • Working internationally
  • Leveraging DAMA DMBOK wheel to help socialize the concepts

Level of Audience
Introductory

Speaker:
Carl Sarrazolla Carl Sarrazolla
Enterprise Data Architect
Lamb Weston Holdings, Inc.

arrowTo Speaker's BIO

arrow

Wednesday
June 5
2:30–3:15

 

arrowBack to top

Implementing Data Governance Across Competing Organizations-A Case Study
Tonmoy Dasgupta, IT Oversight & Management, Arkansas Insurance Department

Learn how the Arkansas State Insurance Department designed and implemented an award-winning Data Governance Program that reached across the health insurance industry and across public-private sectors to ensure compliance with the Affordable Care Act for the State of Arkansas. 

Some of the topics he will cover include:

  • Defining business scope when dealing with multiple organizations
  • Policies and procedures implemented towards a democratic data maintenance approach
  • Measuring results to ensure business value
  • Lessons learned while working towards acceptance of a vision among potentially adversarial stakeholders
Level of Audience
Introductory
Speaker:
Tonmoy Dasgupta Tonmoy Dasgupta
IT Oversight & Management
Arkansas Insurance Department

arrowTo Speaker's BIO

arrow

Wednesday
June 5
2:30–3:15

 

arrowBack to top

Building an Effective Business Glossary:  Using Enterprise Definitions to Strengthen Your Governance and Improve Your Data Quality
Gary Jordan, Sr. Principal Business Systems Analyst, Red Hat

Any effort to build an Enterprise Business Glossary is challenging.  Bringing together the necessary groups and getting them to agree on even the simplest definitions is an enormous challenge.  Yet these efforts pay rich rewards.

This a case study of our 3 year effort to build a strong Enterprise Business Glossary. 

You will learn how to:

  • Identify and recruit the key stakeholders you will need to support your efforts.
  • Select your subject areas for maximum enterprise coverage then divide and conquer the large number of complex terms you will need to define.
  • Facilitate groups in the creation of the definitions.
  • Structure definition hierarchies for subject areas that have related definitions.
  • Build momentum across the enterprise - a glossary isn’t worth much if no one participates.

Standardized terms that are used consistently across the enterprise are powerful tools for building an architectural framework that will support enterprise governance and lead to improved data quality.

Level of Audience
Introductory
Speaker:
Gary Jordan Gary Jordan
Sr. Principal Business Systems Analyst
Red Hat

arrowTo Speaker's BIO

3:15- 3:30 Coffee Break
arrow

Wednesday
June 5

3:30–4:15

 

arrowBack to top

KEYNOTE PANEL: Emerging Trends and Future Considerations for Data Governance
Moderator: Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners
Panelists:
Michele Koch, Director of Enterprise Data Intelligence and the Data Governance Office, Navient
John Ladley, Principal, Sonrai Solution
David Plotkin, Director of Metadata Services, MUFG
Sunil Soares, Founder & Managing Partner, Information Asset
James Tyo, VP, Chief Data Officer, Nationwide

Over the past few days you have learned how to get started creating a data governance and data quality program, how to enhance and expand your program and many tips on overcoming the challenges.

But what does the future hold for data governance and data quality professionals?  What emerging trends do you need to consider and what does the future look like for data governance.

Topics this panel will discuss:

  • Are the references we see to Data Governance 2.0 and even 3.0 really something different or just hype
  • Data privacy past GDPR requirements how to address CCPA and the impact of future mandates
  • Emergence of data catalogs
  • AI, machine learning and data governance
  • Robotic process automation
  • Future skill sets for data governance and data quality professionals

Level of Audience
All Levels

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

arrowTo Speaker's BIO


Panelists:
Michele Koch Michele Koch
Director of Enterprise Data Intelligence
and the Data Governance Office
Navient

arrowTo Speaker's BIO

  John Ladley John Ladley
Principal
Sonrai Solution

arrowTo Speaker's BIO

         
David Plotkin David Plotkin
Director of Metadata Services
MUFG

arrowTo Speaker's BIO

  Sunil Soares Sunil Soares
Founder & Managing Partner
Information Asset

arrowTo Speaker's BIO

         
James Tyo James Tyo
VP, Chief Data Officer
Nationwide

arrowTo Speaker's BIO

     
arrow