Conference Sessions - June 5, 2019

Wednesday
June 5
7:30
–8:30
Registration and Continental Breakfast
arrow8:30 - 9:15 CONCURRENT SESSIONS

Wednesday
June 5
8:30–9:15

 

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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

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  Steven Carlson Steven Carlson
Director, IT Information Governance
Dell Technologies

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Wednesday
June 5
8:30–9:15

 

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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

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  Zuad Oropeza Zuad Oropeza
Senior Project Manager
Callisto Media Publishing

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Wednesday
June 5
8:30–9:15

 

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Taking Stewards to the Next Level:  A Multi-Faceted Data Governance Love Story
Beth Seabolt, Senior Data Governance Professional, Humana
Julee Gruneisen, Data Governance Professional, Humana
Data Governance is not easy, especially in large companies, with decades of data, and are heavily regulated.  The idea of utilizing less than 1% of a company's employees to invoke a major culture change is daunting, but it is possible.  Through understanding the high level data assets within your company, how people use the data, and creating a culture employees perceive themselves as responsible for the data, data governance is possible. 

We will share two case studies that each contributed to the success of our Data Governance Program.  Each case study demonstrates how to build foundational elements for your program, and we will share how the overall program required both to succeed.

You will learn how to:

  • Think about your data as collective and economical assets and not just a bi-product of your business.
  • Organize the consumers of data into personas.
  • Data stewardship is more than just the people "stewarding" the data.

All these things together require coordination, trust, and care, resulting in a unique love story of data governance.

Level of Audience
Intermediate

Speakers:
Beth Seabolt Beth Seabolt
Senior Data Governance Professional
Humana

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  Julee Gruneisen Julee Gruneisen
Data Governance Professional
Humana

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Wednesday
June 5
8:30–9:15

 

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Tips from the Trenches - If I Knew Then What I Know Now
Practitioners Panel

Level of Audience
All Levels

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Wednesday
June 5
8:30–9:15

 

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Best Practices for Starting Data Governance with a Smaller Team
Lowell Fryman, Services Capability Principal, Collibra

Many organizations are just starting a Data Governance program with one or two core team members. Based upon all the seminars and articles that are out there the tasks and resource commitments identified a required for success can be overwhelming.  Yes, you all have a long and exciting journey in front of you to achieve Data Governance success and the value that brings to our organization. However, many of the effective and successful Data Governance programs start small. Some even stay small. We will discuss examples of longer term successful programs that started with, and still have, one or two core team members. Data governance is NOT a program that you can just throw bodies at and be successful, but it is a program that requires many individual contributors.

This session will discuss:

  • Why you should start small
  • What activities and deliverables you really need to be effective and successful
  • Methods to federate the governance processes across the organization
  • A approach and path for maturity while keeping the core team small
  • Best practices for Adoption and rollout of the Governance program

Level of Audience
Intermediate

Speaker:
Lowell Fryman Lowell Fryman
Services Capability Principal
Collibra

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Wednesday
June 5
8:30–9:15

 

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Strategic and Effective Approach in Establishing Data Governance
Melecio Valerio, Head of Data Architecture and Governance, FWD Philippines

Insurance company especially just starting up should treat corporate data as a strategic asset. Like any other asset, data needs good corporate governance as data and information affect the decision-making process on the various activities of an organization.

This presentation will focus on WHY there is a need to establish a Data Governance and HOW it will become effective using a strategic approach focusing on Data Quality, Meta Data, Master and Reference Data Management as well as on Data controls to manage and govern the data from collection until archiving.

Topics include:

  • Data Governance Framework (policies, standards and data controls)
  • Defined key data roles and responsibilities
  • Establishment of Data Stewardship Council
  • Starts small, expand slowly approach
  • Principles of Data Governance Capability development (from awareness to optimized maturity level)

Level of Audience
Introductory

Speaker:
Melecio Valerio Melecio Valerio
Head of Data Architecture and Governance
FWD Philippines

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9:15 - 9:30 Room Change
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Wednesday
June 5

9:30–10:00

 

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KEYNOTE: Winner of the Annual DGPO Data Governance Best Practice Award

Level of Audience
All Levels

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

 

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

Wednesday
June 5
11:30–12:15

 

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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

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Wednesday
June 5
11:30–12:15

 

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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

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Wednesday
June 5
11:30–12:15

 

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How to Prepare for a Successful 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

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  Nam Tran Nam Tran
Director of Global Data Governance Practice
Infogix

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Wednesday
June 5
11:30–12:15

 

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Data Governance & information Quality within your Supply Chain Organization
Robert Jensen, Principal Consultant, Spinnaker Consulting

Supply Chains are run by Advanced Planning and Execution Systems.  These systems ingest your corporate data to generate their plans, recommendations, and action alerts.  Your master data drives the framework.  Historical sales feed the planning process.  These systems create make, move, and buy signals.  Purchase Orders, Production Orders, Job Schedules, Transportation Plans – all rely on your data.  Can it be counted on?

This session will provide insights into the scope, timing, and deliverables for a supply chain DG/IQ initiative.  The audience will be introduced to new terms such as creeping inaccuracy, plan ready, and build ready.  The components of a typical DG/IQ effort still apply, with a heavy focus on data assessment, issue correction, and process standardization.  Several case studies will be referenced showing how several manufacturers, distributors experienced lasting operating savings after leveraging Data Quality Teams to define and implement Data Governance within their Supply Chain Organizations.

By the end of the presentation, all attendees will:

  • Understand how to effectively approach Data Governance in a Supply Chain Organization
  • Understand how to determine the hidden ROI of Data Governance within the Supply Chain Organization
  • Understand the limitations of the typical project-based data quality implementation
  • Understand the key steps of how to stand up an embedded data governance organization within the supply chain organization

Level of Audience
Intermediate

Speaker:
Robert Jensen Robert Jensen
Principal Consultant
Spinnaker Consulting

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

Wednesday
June 5
1:30–2:15

 

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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

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Wednesday
June 5
1:30–2:15

 

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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

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Wednesday
June 5
1:30–2:15

 

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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

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Wednesday
June 5
1:30–2:15

 

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Good to Great - How We Get to Great Data and Forget about the Good Data?
Michael Smith, SVP, Head of Data Strategy, Governance & Privacy- US Consumer, Citi Bank NA

Our organizations are flush with data and the velocity of the volume is accelerating at a speed unimaginable. The variety of both structured and unstructured data is compounding the complexity of creating value from the data. The increasing adoption of Cloud and Big Data platforms bring to question the veracity of the data. The question that we must answer is how do we provide data modernization to enable the digital workforce to be successful?

Topics:
  • Discuss how to break down the silos of data
  • Move the discussion from regulatory “must do” to business value “must have”
  • Learn how to use strategies to implement best practices from experience
  • Determine the best strategy for managing the consumption of the Great data

Level of Audience
Intermediate

Speaker:
Michael Smith Michael Smith
SVP, Head of Data Strategy, Governance & Privacy- US Consumer
Citi Bank NA

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2:15 - 2:30 Room Change
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Wednesday
June 5
2:30–3:15

 

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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

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Wednesday
June 5
2:30–3:15

 

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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

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Wednesday
June 5
2:30–3:15

 

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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.

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Wednesday
June 5
2:30–3:15

 

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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

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Wednesday
June 5
2:30–3:15

 

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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

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Wednesday
June 5
2:30–3:15

 

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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

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3:15- 3:30 Coffee Break
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Wednesday
June 5

3:30–4:15

 

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KEYNOTE PANEL: Closing Takeaways from Chief Data Officers


Level of Audience
All Levels

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