Pre-Conference Tutorials and Conference Sessions -
June 11, 2018

Monday
June 11
7:30–8:30
Registration and Continental Breakfast
8:30 - 11:45 MORNING TUTORIALS

Monday
June 11
8:30-11:45

 

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T1: Getting Started with Data Governance and Data Stewardship 
Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

Many enterprises now realize that data must be managed well, and from this it is a short step to acknowledging the need for Data Governance. But there is a wide gulf between this acknowledgement and having a minimally viable Data Governance program – meaning one that is self-sustaining. In this tutorial we describe the steps needed to begin a Data Governance program, with particular emphasis on establishing Data Stewardship throughout the enterprise. The organizational units needed for Data Governance and their interrelationships are examined. The creation of a Data Stewardship network across the enterprise, and the various roles of data stewards are discussed. How to interact with executive management, particularly in terms of upward reporting, is also covered. The need for a roadmap that adequately meets the needs of the Data Governance program for the first 2 years is described.

Attendees will learn:

  • How and where to get started
  • What the basic organizational structures of a Data Governance program are
  • How to establish these structures, define their roles, and communicate to the rest   of the enterprise about Data Governance
  • How to establish a Data Stewardship Network
  • How to develop a roadmap for the Data Governance program

Level of Audience
Introductory

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

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Monday
June 11
8:30-11:45

 

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T2: Data Governance Value and Sustainability - 4 Case Studies to Learn From 
John Ladley, Chief Delivery Officer, First San Francisco Partners

How can some organizations make progress investing in data governance programs, while others try again and again and still fail? There are always the obvious success factors of sponsorship, engagement, operational structure etc. -- but what if all the essential pieces are in place and your data governance program still isn’t meeting its objective? What subtle, yet critical factors could you be overlooking?

In this new tutorial, John will present four case studies of companies that have had varying degrees of success with data governance initiatives. Attendees will leave the session understanding the obvious, and more importantly, not so obvious elements that made the difference between success and failure including:
  • How explicit business alignment garnered leadership support for a fragmented data governance program
  • The visible difference when leadership is engaged and “walks the talk”
  • How to avoid squandering millions of dollars on technology and gain nothing because your approach is not actionable
  • The importance of moving away from traditional Systems Development Life Cycle approaches for data-centric projects

The case studies will span multiple industries while exploring consistent themes across the process, people, technology and data aspects of each organization to provide tips and methods that might make the difference for your efforts.

Level of Audience
Intermediate

Speaker:
John Ladley John Ladley
Chief Delivery Officer
First San Francisco Partners

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Monday
June 11
8:30-11:45

 

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T3: How to Save a Failing Data Governance Program 
Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com

Data Governance programs tend to take a long time to get started, to gain momentum and to demonstrate measurable value to the organization. Over this period, programs often fail to sustain the level of enthusiasm that existed when the program was just starting. There are many reasons for this. Management interest wanes, new projects grab people’s interests and work group meetings cease to be efficient and effective.

In this tutorial, Bob Seiner will identify and address the reasons why Data Governance programs fall apart or fail to be sustainable over lengthy periods. The initial approach to developing the program has something to do with it but lack of focus on essential program components is the true villain. Bob will share techniques that he has developed to assure long term program health.

In this tutorial, Bob will share:
  • Ways to recognize that your program is dying
  • Core program components that require sustained attention
  • Steps to follow to prevent an early program demise
  • Ways to extend program enthusiasm
  • How to assure program continuity and longevity

Level of Audience
Advanced

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

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Monday
June 11
8:30-11:45

 

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T4: Designing Data Governance & Metadata into Your Data Strategy 
Donna Burbank, Managing Director, Global Data Strategy, Ltd

In today’s data-driven enterprise, building data governance and metadata management into your data strategy can seem more complex than ever. Not only is innovation in technology occurring a more rapid pace than ever before creating more diverse metadata, but as more business stakeholders become involved with data-centric initiatives, “people-centric” initiatives such as data governance increase in importance as well. This workshop demystifies data governance and metadata and provides practical steps in creating a robust data strategy that encompasses people, process, and technology to provide concrete and demonstrable business value.

Topics include:

  • Data Strategy and Data Architecture – Aligning business drivers with data requirements
  • Data Governance – Orchestrating the people, process, technology and culture required to support your data architecture
  • Metadata Management – How metadata can act as the supporting infrastructure for both business and IT
  • Data Quality – Designing quality into your data architecture from the outset and how to design core KPIs and metrics to track success
  • Roadmap Considerations – Build “quick wins” into your roadmap to provide business value through every stage of your architecture development

Level of Audience
Introductory

Speaker:
Donna Burbank Donna Burbank
Managing Director
Global Data Strategy, Ltd

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Monday
June 11
8:30-11:45

 

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T5: A Roadmap for Building a Successful Data Quality Program: How to Get Started, and How to Assess and Improve What You Have 
John Talburt, Professor. University of Arkansas at Little Rock

Every organization will say they want high-quality data, but there is still confusion about some of the most fundamental questions. People often ask "What is data quality?"

"How is it measured?" "How do I show the value of data quality to management?"  "How do I build an effective data quality program? The tutorial is designed to answer these and other related questions and give participants actionable steps to implement a successful data quality management program.

Accurate business reporting and data analytics can only be achieved using high-quality data. Yet many organizations either do not have a data quality program, or they just focus on standardizing source data. Having a complete, ongoing program to measure, monitor, and improve the quality of data is a competitive advantage for an organization in today’s data driven economy. This tutorial is primarily for participants starting a comprehensive data quality program or wanting to assess and improve the capabilities of an existing data quality program. Hands on exercises are included.

Participants will learn:

  • The seven fundamental principles of data quality
  • The four pillars of data quality management every data quality program must have them
  • How to measure data quality – How to define goals, data quality metrics, and prioritize opportunities
  • How to use data quality analysis tools and techniques
  • How to interpret data profiling results
  • How to make a business case (ROI) for data quality

Level of Audience
Introductory

Speaker:
John Talburt John Talburt
Professor
University of Arkansas at Little Rock

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Monday
June 11
8:30-11:45

 

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T6: An In-depth Review of Data Governance and Big Data Tools
Sunil Soares, Founder & Managing Partner, Information Asset

This tutorial will cover data governance tools for the following requirements:
  • Business Glossary
  • Data Lake Governance including data ingestion, data quality, lineage and data masking
  • Operating Model for Stewardship
  • Workflows
  • Metadata Management
  • Reference Data Management
  • Data Quality Management
  • Alignment with Information Security and Privacy
  • Data Sharing Agreements
  • Integrations between different tools such as Data Governance & Data Quality, Data Governance & Hadoop
  • Overview of offerings from vendors such as ASG, Cloudera, Collibra, Hortonworks Atlas, IBM, Informatica, Oracle, Podium and SAS

Level of Audience
Intermediate

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

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arrow12:00 - 12:30 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS

Monday
June 11
12:00–12:30

 

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SAP EIM Solutions Help Deliver Information Excellence
Sue Waite, Senior Director, SAP Center of Excellence
Mustafa Dadawalla, CSCP, Manager, Global Data Quality, Corning Optical Communications

To enable tomorrow’s business successes, the need for “information excellence” is not only desired, it is a fundamental requirement. But what is information excellence? Simply stated, it is the ability to ensure that enterprise data is trusted, complete, and relevant for analytical and operational use cases. Join this session to explore real-world customer examples that illustrate how SAP has helped clients create trust in their data, find and utilize relevant data to deliver enhanced business insights, and govern it within their applications and big data systems to ultimately drive transformational business outcomes. 

Level of audience: 
All levels

Speakers:
Sue Waite Sue Waite
Senior Director
SAP Center of Excellence

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  Mustafa Dadawalla, CSCP Mustafa Dadawalla, CSCP
Manager, Global Data Quality
Corning Optical Communications

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Monday
June 11
12:00–12:30

 

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Modern Asset Catalogs - The Stepping Stone to AI
Bill Lobig, VP, IBM Watson Data & AI

Smarter businesses apply AI to learn and continuously evolve the way they work and fend off smaller disruptors. To extract full value from AI, companies need a data strategy that gives them access to all their data – no matter where it lives – in an environment that easily scales, provides self service and applies modern data governance and cataloging to empower data scientists turbo charge your journey to AI. Learn how IBM Watson Studio and IBM Watson Knowledge Catalog provide all the tools companies need to embed AI, machine learning and deep learning in their business, while enabling professionals to gain the most from their data to drive smarter business and lead industry-changing transformations.

Level of audience: 
All levels

Speaker:
Sue Waite Bill Lobig
VP
IBM Watson Data & AI

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1:30 - 4:45 AFTERNOON TUTORIALS

Monday
June 11
1:30–4:45

 

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T7: Keeping the Momentum Going in your Data Quality Program
Peter Aiken, Founder and President, Data Blueprint

Often a burning bush issue will initiate an organizational data quality effort. While helpful with the initial motivation, most organizations will require additional work to create a suitable foundation upon which to base an advantageous data quality engineering program.

That is, in order for data quality efforts to truly succeed and deliver promised returns, it is crucial that organizations:

  • Develop and implement (in this order) required people, process and technology program components
  • Practice and improve the manner in which they address data quality challenges as an engineering-influenced discipline
  • Develop periodic methods sharing opportunities/vehicles and articulations

This tutorial will lead you through the various steps along the way with numerous examples and immediate takeaways

Level of Audience
Advanced

Speaker:
Peter Aiken Peter Aiken
Founder and President
Data Blueprint

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Monday
June 11
1:30–4:45

 

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T8: Driving Data Governance from a Business Viewpoint: Best Practices, Direction and Advice
John Ladley, Chief Delivery Officer, First San Francisco Partners

NEW CONTENT FOR 2018

If you believe information is truly an asset, then engaging the entire business is mandatory. If managing information assets is a business issue, then data governance is a business program. Because so many data governance programs are being initiated by business demand, many participants and stakeholders find themselves in new territory.

Business leaders need to learn about concepts like stewardship, data quality, culture change and data management, all while still accomplishing their day-to-day responsibilities. This workshop will walk attendees through the assessment, definition, design and deployment of a data governance program from a business view. This presentation is intended for business leaders or managers that are new to data governance, or for data governance functions that are having trouble sustaining themselves.

This in-depth workshop will cover:

  • How to define data governance as a business program – from alignment to operations
  • How to address the most critical success factors for data governance
  • Understand the basic core functions that MUST be executed to be sustainable
  • The differences in the business view of a DG program from an IT view
  • A series of activities to pivot from a sponsorship to leadership model
  • An example scenario of moving from business sponsored to “business led “
  • A list of key metrics you can deliver immediately to show progress and success

Level of Audience
Intermediate

Speaker:
John Ladley John Ladley
Chief Delivery Officer
First San Francisco Partners

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Monday
June 11
1:30–4:45

 

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T9: Governing the Business Vocabulary, Cataloguing and Mapping of the Business Terms and Critical Data Elements (CDE) 
Lowell Fryman, Services Capability Principal, Collibra

Our business glossary is the cornerstone of a great data governance program. That is quite easy to say, but the creation, management, and adoption is quite challenging. Resource, process, technology and metadata tool management are significant. The data governance  program should address the definition of business terms, aligning the terms with the critical data elements associated, and communicating the alignment and the usage of the assets in the glossary to enable consumers across the enterprise. While, many organizations really care about the physical columns used in reporting and analytics, we know that we need to align those CDEs to the Business Terms in order to govern our implementations.

A Business Glossary is the tool for capturing assets and exposing authoritative content from our data governance initiatives. The glossary is used to communicate understanding and clarity across the enterprise to connect business management and knowledge workers to business information they can find, understand and trust, helping to eliminate misunderstandings that cause lost time, lost opportunities and lost revenue.

This tutorial will be helpful for business users, data management and data governance professionals that have been challenged with any of the following issues:
  • How to organize the business glossary program for quick wins as well as position it for a maturing data governance program
  • How do we identify categories and groupings to manage our vocabulary across business units and applications
  • How to create great business term names and definitions to maximize understanding and trust for governance
  • Need to establish standards and best practices for the business glossary, cataloguing and mapping CDEs and data governance
  • Enterprise or international projects like GDPR or MDM that must address terminology and semantic differences across the enterprise

You will learn:

  • An approach to managing data governance from business terms to mapping physical implementations
  • Methods for establishing the Business Glossary, standards and best practices
  • Approaches for using existing governance organizational structure, resources, processes and technologies (use what you have)
  • How to cost effectively leverage different approaches to capture, manage, and report the life-cycle of the assets in the glossary
  • Methods for the organization and rationalization of content and terminology in the glossary

There are NO product screenshots.

Level of Audience
Introductory

Speaker:
Lowell Fryman Lowell Fryman
Services Capability Principal
Collibra

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Monday
June 11
1:30–4:45

 

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T10: How an Award Winning Data Governance Program Shows Value with Data Governance and Data Quality Metrics
Michele Koch, Director, Enterprise Data Intelligence, Navient
Barbara Deemer, VP Financial Systems and Chief Data Steward, Navient

Your data governance journey is like travelling down a windy and bumpy road.  Inevitably, there will be times when you will be asked to justify the existence of your program and show the value of your data governance efforts.  After all, if you can’t quantify it, why are you doing it? This tutorial will provide a detailed, step-by-step account of Navient’s award-winning approach to developing metrics.  Topics that will be covered include:
  • Overview of data governance program concepts to set the stage for tracking and reporting data governance metrics
  • Engaging the Data Governance Council and identifying business approvers for metrics
  • Techniques used to identify and quantify business value
  • Determining business value categories
  • Assigning business value status criteria ranges
  • Determining business value calculations
  • Generating the business values to populate a dashboard
  • Resolving data issues/errors that are identified
  • Tracking potential versus actual business value

Level of Audience
Introductory

Speakers:
Michele Koch Michele Koch
Director, Enterprise Data Intelligence
Navient

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  Barbara Deemer Barbara Deemer
VP Financial Systems and Chief Data Steward
Navient

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Monday
June 11
1:30–4:45

 

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T11: Today’s Data Lakes: Data Governance at Ocean-Scale
Anthony Algmin, Chief Data Officer, Uturn Data Solutions

This tutorial discusses the evolution of data lakes, what they have historically done well, and where they have struggled to deliver. We look at the underlying technologies that have powered data lakes, and some of the more recent technology developments that are helping data lakes become a more complete solution.

Then we explore how data governance plays a more important role in data lakes than people believed in the early days of a few years ago. We will outline the key tenets to building effective data lakes, and explain the problems that happen when data governance fails to keep pace with data growth.

Key takeaways include:
  • Data Lakes are not just about Hadoop anymore
  • How the oversimplified idea of “Schema on Read” led data lakes down a dark path
  • Why Metadata Management has never been more important
  • Ways to apply Data Governance to make Data Lakes more useful to your organization

Level of Audience
Intermediate

Speaker:
Anthony Algmin Anthony Algmin
Chief Data Officer
Uturn Data Solutions

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Monday
June 11
1:30–4:45

 

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T12: Data Governance Meets Psychology 101 - How to Influence Individuals Within Organizations
Mike McMorrow, Principal, MMM Data Perspectives Ltd
The single biggest challenge to effective data governance is to persuade people across the organization to buy into it in a deep, sustainable way. To be successful persuaders, Data governance professionals should learn from psychology-based tricks and techniques of great salespeople and organization behaviorists.

As humans we are sub-consciously flawed and, somewhat alarmingly, consistently easy to psychologically 'play' - we are 'rationalizing' rather than 'rational' decision makers.

Illustrated by intriguing examples from psychology research, the presenter's practical experiences and some fun group exercises, the first half of the tutorial will focus on influencing individuals as individuals and the second half will focus on influencing individuals within groups.

Influencing individuals as individuals:

Great salespeople are expert at pushing the right buttons to get us, as individuals, to make the decisions that they want us to make, and to genuinely believe that we personally own those decisions.

This section will explore:

  • Fixed-pattern triggers
  • Subconscious biases
  • Reciprocation
  • Decision escalation
  • Cognitive dissonance

Influencing individuals within groups:

There is extensive evidence of the psychological impact of group membership on individual behaviors and decisioning, again generally at a sub-conscious level.

This section will explore:

  • Deference to authority
  • Social proof
  • Competitive self-interest
  • Public commitment
  • Appreciative enquiry

Beware, YOU WON'T think of yourself (as a rational being) in quite the same way again, but YOU WILL take away real, practical tips on how to build intense stakeholder buy-in to data governance back in your organization.

Level of Audience
Intermediate

Speaker:
Mike McMorrow Mike McMorrow
Principal
MMM Data Perspectives Ltd

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Arrow5:00 - 5:45 Conference Sessions

Monday
June 11
5:00–5:45

 

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Industry Special Interest Group - HIGHER EDUCATION
Expanding the Field: The Data Governance Collaborative for K-12 Education

Curtis Lee, Executive Director for Data Quality, Jefferson County Schools

The Data Governance Collaborative (DGC) is a new initiative of leading K-12 school districts and charter school networks across the U.S. to advancing the critical role of data governance in K-12 organizations.

The purpose of the DGC is to share data governance best practices, lessons learned and tools among a group of interested education organizations in order to assist them to work across their organizations to:

  • Gather and vet best practices in the realm of data governance and data management.
  • Share these practices with members of the DGC.
  • Provide promotional and training material in line with the practices.
  • Provide venues for DGC members to share and discuss the practices and the lessons learned from their use.
  • Provide a knowledge store to facilitate sharing and access to tools, templates, artifacts and documents related to data governance best practices.
  • Provide a venue for education agencies to discuss data standards and data models in order to provide feedback to standards organizations (e.g., Ed-Fi and CEDS).

Level of Audience
Introductory

Speaker:
Curtis Lee Curtis Lee
Executive Director for Data Quality
Jefferson County Schools

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Monday
June 11
5:00–5:45

 

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Industry Special Interest Group - HEALTHCARE
A Journey of Data Governance in Healthcare
Wendy Bezotte, Data Governance Program Manager, University of Michigan Medical School
Patrick Day, Process Manager, Data Governance Office, Cleveland Clinic
Kyle Kerbawy, Enterprise Data Architect, University of Michigan Health Information Technology & Services

This presentation will highlight the data governance journeys of two Healthcare organizations focusing on challenges, successes, tips and best practices translatable to other healthcare provider institutions.

Healthcare is a highly complex industry, which has lagged other industries in adopting data and analytics to its improvement. If we accept the assertion that healthcare is a knowledge-delivery industry - that its primary aim is the application of specialized skills, tools, and knowledge - then it is our obligation to exploit the data assets at our institutions to augment and optimize that aim and ensure data is managed accordingly. In order to achieve this, data governance is a critical success factor that is beginning to be understood as a core competency within the industry. We will briefly review the paths towards data governance that our enterprises have undertaken, underscoring the organizational and cultural challenges that the efforts have encountered. The emphasis of this presentation will be to highlight the major success points, tips, and best practices that should translate to data governance efforts at other health care provider institutions.

Level of Audience
Intermediate

Speakers:
Wendy Bezotte Wendy Bezotte
Data Governance Program Manager
University of Michigan Medical School

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  Patrick Day Patrick Day
Process Manager, Data Governance Office
Cleveland Clinic

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Kyle Kerbawy Kyle Kerbawy
Enterprise Data Architect
University of Michigan Health Information Technology & Services

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Monday
June 11
5:00–5:45

 

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Industry Special Interest Group - FINANCIAL
How to Introduce Acceptable Data Governance and Data Quality to a Major Bank
Vladislav Repta, Head of BI, Ceska sporitelna, a.s
Peter Kmet, DQ Manager, Ceska sporitelna, a.s

Introducing Data Governance and Quality to the company is HARD. This is authentic presentation used in Ceska Sporitelna that had finally received understanding and acceptance of Data Governance and Quality roles and principles, enriched with lessons learnt from previous fails and overall recommendations from our journey.

A few years ago we received clear and strict message from regulators: “You must increase data quality in a significant manner and fast.” So we started with failing in introducing Data Governance and Quality into an environment of silo thinking and major resistance to any change.

This is the original presentation where we introduced Data Governance through 3 layers – metadata, data and organizational structure. We introduced 4 main roles: Data Stewards, Data Custodians, Data Owners and Data Quality Analysts. We have also introduced two separate Data Quality processes for Data Quality Fixing and Monitoring as well as custom made DQ solution to support us in our efforts.

We are bringing authentic and hands on approach to a topic that is resonating not only in finance sector. We are not hesitant to show not only success but also our mistakes in order to help the others to avoid them.

Level of Audience
Intermediate

Speakers:
Vladislav Repta Vladislav Repta
Head of BI
Ceska sporitelna, a.s

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  Peter Kmet Peter Kmet
DQ Manager
Ceska sporitelna, a.s

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Monday
June 11
5:00–5:45

 

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Industry Special Interest Group - PUBLIC SECTOR
Winning the Battle for Data Governance at the Department of Interior Office of Natural Resources Revenue
John Hovanec, Program Manager & Data Governance Officer, Office of Natural Resources Revenue
Ryan Jordan, Chief Data Steward, Office of Natural Resources Revenue

Leading the Data Revolution - First-hand account of how the Department of Interior Office of Natural Resources Revenue (ONRR) established a data governance program. Like many other organizations, ONRR has difficulty managing data as a strategic asset. A lot of personnel, effort, and money are spent on enhancing and maintaining our systems, but there was no group whose sole focus was on the data. The result was lack of business input, limited data understanding, conflicting actions between business groups, and numerous workarounds. Two years ago project teams kicked off to set forth a new data strategy. The result: establishing data governance led by the business and working with IT.

We will discuss many key activities that led to adoption of data governance from the ground-level employees to senior executives.

  • Start with the bottom-up - define the pain points
  • Focus on describing the data issues
  • Develop an approach to address these issues
  • Give your employees a voice
  • Sell your idea and find a champion at the top
  • Plan, test, implement, and perfect

Level of Audience
Introductory

Speakers:
John Hovanec John Hovanec
Program Manager & Data Governance Officer
Office of Natural Resources Revenue

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  Ryan Jordan Ryan Jordan
Chief Data Steward
Office of Natural Resources Revenue

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Monday
June 11
5:00–5:45

 

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Industry Special Interest Group - ENERGY
Considerations in Governing an Internet of Things Data Lake
Mariela Botella, Data Governance Advisor, ExxonMobil
Sunil Soares, Founder and Managing Partner, Information Asset

This session with focus on key considerations in governing the Data Lake including stewardship, data ingestion, metadata management and data quality.
Key topics to be covered include the following:
  • Case for action in implementing a Data Lake
  • Data Lake architecture
  • Data Governance enablement Roadmap
  • Data Governance Strategy for Roles & Responsibilities
  • Alignment with the business and data stewards
  • Data Governance Policies & Guidelines
  • Processes related to data ingestion and standards
  • Selecting Critical Data Elements (CDEs)
  • Metadata Management, the Data Catalog and Reference Data
  • Data quality, security and lifecycle management best practice

Level of Audience
Intermediate

Speakers:
Mariela Botella Mariela Botella
Data Governance Advisor
ExxonMobil

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  Sunil Soares Sunil Soares
Founder and Managing Partner
Information Asset

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Monday
June 11
5:00–5:45

 

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Industry Special Interest Group - INSURANCE
The Evolution of Amica's Architecture Review Board
Donald LeMay, Data Governance Analyst, Amica Mutual Insurance
Sheila Embree, Lead Data Governance Analyst, Amica Mutual Insurance

One of the challenges of any data governance effort is truly getting in on the ground floor when architecture decisions are being made. It is one thing to be involved in a project once it's been approved. It is yet another to have an influence on a project's impact to the corporate technology platform.

At Amica, we had expected to establish an Architecture Review Board to ensure that our technological standards are adhered to with new projects. However, what we found is that we didn't have strong data principles to serve as a decision base. This presentation will share our journey of creating data principles and establishing an Architecture Review Board.

Level of Audience
Introductory

Speakers:
Donald LeMay Donald LeMay
Data Governance Analyst
Amica Mutual Insurance

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  Sheila Embree Sheila Embree
Lead Data Governance Analyst
Amica Mutual Insurance

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