Conference Sessions - June 4, 2019

Tuesday
June 4
7:30–8:30
Registration and Continental Breakfast
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Tuesday
June 4
7:35–8:20

 

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The Data Governance Professionals Organization (DGPO) Annual Summer Meeting
The Six Core Areas of the DGPO Data Governance Framework the Foundation for Best Practices
Michele Koch, VP Professional Development, DGPO
Marichelle Tanag, Secretary, DGPO
If you are just starting a data governance program, you are steadily growing and maturing one, or you are re-starting the efforts again for the nth time, the Data Governance Professionals Organization (DGPO) is here to help.

In supporting our vision, we have established a formal framework to be the primary, authoritative resource for data governance practices. This framework, the DGPO CAP (Core Areas of Practice), unofficially referred to as the DGPO Hexy and sometimes referred to affectionately as the "Sexy Hexy" (because we know that being a data governance professional is really the sexiest job around - no offense data scientists), represents the six core areas of practice and is the foundation for all the content and best practices the DGPO will continue to share going forward.

Join us as we discuss these six practices and how they are core to all data governance programs regardless of industry, size, or maturity.

What you will learn:

  1. Fundamentals - The foundational elements necessary for any data governance program.
  2. Organization - Organizational considerations for data governance, both within and external to the data governance program.
  3. Communication - Marketing the purpose (and general existence) of your data governance program, sharing wins and payback, and providing regular status reports. It also covers training and development and change management.
  4. Process - From documenting parameter-establishing guidelines to the detailed steps of tactical execution, the process area of practice covers the "Why, What, and How" of data governance.
  5. Metrics - Metrics and measures necessary for continual improvement across the business and for communicating where the business has been, where it is now, and where it is headed.
  6. Stewardship - From business to technical stewards and even data custodians, this practice area helps to define who they are and what they do.

Level of Audience
All Levels

THIS SESSION IS OPEN TO ALL CONFERENCE ATTENDEES

Speakers:
Michele Koch Michele Koch
VP Professional Development
DGPO

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  Marichelle Tanag Marichelle Tanag
Secretary
DGPO

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Tuesday
June 4
8:30–8:40

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Welcome
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Tuesday
June 4
8:40–9:20

 

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KEYNOTE: Data Governance in the Digital Age
Nate Haskins, Chief Data Officer, S&P Global

Data sits at the center of all S&P Global products, with information gathered from thousands of sources, cleansed & classified, with derivative works created and delivered in support of various workflows. Data collection, transformation, storage and dissemination at this scale requires governance and we at S&P Global, believe in data governance in action.  The word “governance” often conjures up images of dusty binders of documentation and layers of bureaucracy. Not at S&P Global. Here data governance is anchored by a “middle tier,” a common descriptive layer that outlines, in a machine-readable format, an extensive set of metadata. Text documentation rarely delivers value that makes up for its production and maintenance cost. Documentation at S&P Global drives and accelerates the development process.

The keynote will cover the below points:

  • Current data governance framework at S&P which enables us to handle data at scale
  • How we are bolting modern technologies like Natural Language Processing, Machine Learning, and Robotics Process Automation into our data governance framework
  • Democratizing low code technologies and enabling our workforce to leverage and augment our data assets in a seamless manner
  • How we are delivering and assessing the value to our customers and shareholders
  • Our philosophy and commitment to data quality

Level of Audience
All Levels

Speaker:
Nate Haskins Nate Haskins
Chief Data Officer
S&P Global

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Tuesday
June 4
9:20-9:50

 

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KEYNOTE: Solving the Enterprise Data Dilemma
Danny Sandwell, Product Marketing Director, erwin, Inc.

Enterprises use thousands of unharvested, undocumented databases, applications, ETL processes and procedural code that prevent effective business intelligence solutions. The lack of visibility and control around data at rest or in motion, delays effective data discovery. 

In this session, you’ll learn:

  • How to answer the tough data questions
  • How to maintain an active metadata landscape
  • How to use data management and governance to accelerate actionable insights

Level of Audience
All Levels

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

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9:50 - 10:15 Coffee Break
10:15 - 11:00 CONCURRENT SESSIONS

Tuesday
June 4
10:15–11:00

 

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Nimbly Eating the Elephant - Creating Data Standards and Governance One Bite at a Time
Kristin Love, Enterprise Information Architect, GlaxoSmithKline

The executives have bought into establishing data standards and data governance.Now what?Follow one pharmaceutical company's journey towards data standards and governance.

Learn about:

  • How to take an Agile approach to standards, so that business value is demonstrated early and often
  • How to build data standards and governance into the Agile story framework
  • The roles of data modeling, data quality, reference and master data management, metadata management, and data governance in establishing successful data standards
  • How industry ontologies helped to accelerate standards development
  • How the standards impacted new software and instrument configuration, and helped with data integration
  • How to measure progress and success of the standards

Level of Audience
Intermediate

Speaker:
Kristin Love Kristin Love
Enterprise Information Architect
GlaxoSmithKline

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Tuesday
June 4
10:15–11:00

 

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Coaching Skills for Governance Professionals
Marcia Rhode, Principal, Marcia Rhode Coaching & Organizational Development
Effective communication underpins every successful data governance effort and is essential to accurately define data and metadata. Data governance analysts must have the ability to discern the nature and quality of the information provided from across the organization:  What are the right questions to ask? How do you know if the information is complete? How do you know if you heard what was meant, not what was said? How do you work with reluctant or disinterested co-workers or subject area experts?

The field of coaching offers a path to improved communication skills, greater self-confidence, optimized team performance, and improved work/life balance. This presentation draws on lessons learned from enterprise data management projects and explores how coaching skills and practices can pave the way to successful governance and improved data quality, including: 

  • Critical success factors for data governance
  • Unique challenges of data governance professionals
  • Overview of coaching
  • Practical tips and techniques for employing coaching skills

Level of Audience
Introductory

Speaker:
Marcia Rhode Marcia Rhode
Principal
Marcia Rhode Coaching & Organizational Development

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Tuesday
June 4
10:15–11:00

 

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Data Governance and Design: Putting Data Users First. The Case of Finances One
Francesco Ciriaci, Business Process Officer, The World Bank Group
Urana Batjargal, Sr. Business Systems Officer, The World Bank Group
Ruby Ray, Senior Finance Officer, The World Bank Group

Finances One is a data platform we have developed at the World Bank using an innovative user-centered design approach. Aimed to both leaders and practitioners with a good understanding and experience in data governance, this in-depth case study will walk you through our journey in creating value for our data-users. Join us to see and discuss, how design can serve data governance programs and help meet clients and stakeholders’ needs.

We will cover:

  • Putting users first
  • From dashboards to data-processes, design is powerful
  • Getting data owners commitment & leadership support
  • Prioritizing data governance initiatives

Level of Audience
Intermediate

Speakers:
Francesco Ciriaci Francesco Ciriaci
Business Process Officer
The World Bank Group

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  Urana Batjargal Urana Batjargal
Sr. Business Systems Officer
The World Bank Group

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Ruby Ray Ruby Ray
Senior Finance Officer
The World Bank Group

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Tuesday
June 4
10:15–11:00

 

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How Data Governance Supports Data Sharing in Government Agencies
Jayne Dutra, Data Governance Program Manager, Multnomah County

Although it's not normally the first thing that comes to mind when one ponders Data Governance, appropriate data sharing processes are a topic of lively conversation in government agencies. The mix of data from various departments that spans public information, and also includes HIPAA and PII is a challenging aspect of combining data across organizational boundaries to support internal business decision makers as well as citizen-clients.

Multnomah County recently developed the SCoPE project, designed to share data across departments, which required careful attention to data privacy regulations. Data Governance played a key role in leading discussion and formulating new approaches to make progress on compliant data sharing.

This talk will describe:

  • The project's vision, goals and complications
  • Considerations from both the client's and data providers' viewpoints
  • Creative solutions by a team including Project Management, Data Governance, Legal, and the Privacy Office
  • Technical design that implemented data privacy strategies from an initial impact assessment through ongoing audit processes

Level of Audience
Intermediate

Speaker:
Jayne Dutra Jayne Dutra
Data Governance Program Manager
Multnomah County

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Tuesday
June 4
10:15–11:00

 

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8 Ways to Sneak Data Governance into your Enterprise’s “Diet”
Ty Sonagere, Manager, Data Governance, Quality & Advocacy. CoverMyMeds
Deb Bitzan, Data Solutions Lead, CoverMyMeds

Sometimes data governance can seem like the spinach or kale of processes. We know it's good for us, we know it has value, but the taste can certainly be off-putting to some - especially when your colleagues are used to eating cookies for breakfast.

Presenters Ty Sonagere and Deb Bitzan will touch on various methods to "sneak" data governance into your organizational workflows using fun and nuanced methods to navigate a growing data governance program. Through cross-functional, community-based efforts, CoverMyMeds' data governance team has been able to drive progress that pleases compliance teams while providing the flexibility and input necessary for individual contributors to do their jobs well, while feeling "heard." By the end of the presentation, attendees should walk away with some new tools to accomplish the same within their own organizations.

Attendees will learn about ways to:

  • Achieve cross-functional harmony through grassroots community surrounding governance initiatives
  • Gamify data governance to improve adoption and knowledge sharing
  • Successfully bring people together (willingly!) over data definitions and common pain points
  • Drive project efficiency and value through the formation of a collaborative data "squad" or "guild"
  • Build a data governance "brand" that is appealing and solution-oriented for multiple audiences

Level of Audience
Intermediate

Speakers:
Ty Sonagere Ty Sonagere
Manager, Data Governance, Quality & Advocacy
CoverMyMeds

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  Deb Bitzan Deb Bitzan
Data Solutions Lead
CoverMyMeds

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Tuesday
June 4
10:15–11:00

 

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Data Governance Evolution of What Should be Done to What We Must Do
Mark W Lynch, Information Governance Practice Leader, IBM
Brian Mayer, Business Ready Data Consultant, IBM

As organizations become data-driven and truly transform digitally, the data becomes the foundational prerequisite of AI-supported analytics. Data governance has therefore evolved from "should do" to "must do." But senior leadership needs to see proof points and a demonstration of business value-calculated in hard numbers-before they will dedicate resources. From identification and validation of the use case to the cost reduction opportunity and the incremental business value, this session shares proven best practices and model gleaned from numerous client engagements to help you prove the business case for data governance.overnance "brand" that is appealing and solution-oriented for multiple audiences

Level of Audience
Introductory

Speakers:
Mark W Lynch Mark W Lynch
Information Governance Practice
Leader
IBM

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  Brian Mayer Brian Mayer
Business Ready Data
Consultant
IBM

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11:00 - 11:15 Room Change
11:15 - 12:00 CONCURRENT SESSIONS

Tuesday
June 4
11:15–12:00

 

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Harnessing Data Value at a Fast-Growing Health Insurer
Ted Curran, Senior Director, Chief Data Governance Officer, UPMC Insurance Services Division

Tangible examples of how a Chief Data Governance Officer and direct/indirect resources support the growth of a Health Plan with measurable results with hands on tips for communicating with different parts of the organization.  Roles being taken in Agile processes and how they changed from year 1 to years 2 and 3. 

Presentation will also review deliverables being prepared for company employees versus external stakeholders.

  • Key application integration considerations and reporting layer
  • Agile Processes, Ceremonies, Change in role over time
  • Supporting vendors, Peer Institutions, Data Sharing
  • Ways of capturing and calculating the value of Data Management/Governance to support growth
  • Supporting acquisitions and partnerships with clear guidance

Level of Audience
Intermediate

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

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Tuesday
June 4
11:15–12:00

 

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Introducing Data Governance into your Corporate Culture
David Williams, Head of Corporate Data Strategy, Compliance & Standards, AIG
Umang Sukhia, Director, Business Data Governance Strategy and Operationalization, AIG
Marichelle Tanag, AVP Data Management, AIG

Data Governance has often become a forbidden word in the eyes of the business. One of the many challenges that Data Governance practitioners face is the inability to make the mandate for data governance stick in their company.  In this session we'll introduce tactics that we've learned at AIG for embedding data governance and data management principles into other processes so that it seamlessly becomes a part of the corporate culture.  We'll look at best practices related to processes such as application development, change management, and operational risk.

Level of Audience
Intermediate

Speakers:
David Williams David Williams
Head of Corporate Data Strategy,
Compliance & Standards
AIG

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  Umang Sukhia Umang Sukhia
Director, Business Data Governance Strategy and
Operationalization
AIG

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Marichelle Tanag Marichelle Tanag
AVP Data Management
AIG

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Tuesday
June 4
11:15–12:00

 

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Launching Statewide Data Stewardship Training in Arizona
Jeff Wolkove, State Data Management Architect, Arizona Dept. of Administration
Melanie Mecca, CEO, DataWise Consulting

How do you teach nearly 35,000 State employees to treat data as an enterprise asset? Jeff Wolkove worked with CMMI to develop a statewide data stewardship training program for Arizona state government. Join this session to learn how Arizona is promoting a data-aware culture by training every employee who works with data.

We will cover:

  • Arizona's approach to data stewardship
  • The components of the course
  • Our experience rolling it out to state agencies
  • Lessons learned

This is the first time any state has attempted to train all employees in data stewardship. Our experience should prove valuable not only to other government entities, but also to large private sector businesses.

Level of Audience
Intermediate

Speakers:
Jeff Wolkove Jeff Wolkove
State Data Management Architect
Arizona Dept. of Administration

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  Melanie Mecca Melanie Mecca
CEO
DataWise Consulting

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Tuesday
June 4
11:15–12:00

 

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Improving Local Government Data from the Ground Up
Robert Davis, GIS Analyst, MGP, Inc
Mitch Greenan, GIS Analyst, MGP, Inc

Local government is charged with responsibly allocating public tax dollars for their community.  Today, the expectation is that data drives the decisions on how to best spend that money.  While the first instinct may be to run towards technology to solve problems, good technology and poor data don’t mix. 

In this session, we will discuss our journey to bring data quality to the forefront of 36 municipalities by listening to user’s needs, establishing stakeholders, defining standards, and building alignment. 

Topics include:

  • Establishing leadership alignment
  • Formalizing data stakeholder teams
  • Importance of data standards and rules
  • Creating meaningful metrics for data stakeholders

Level of Audience
Intermediate

Speakers:
Robert Davis Robert Davis
GIS Analyst
MGP, Inc

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  Mitch Greenan Mitch Greenan
GIS Analyst
MGP, Inc

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Tuesday
June 4
11:15–12:00

 

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Introduction to Entity Resolution and Master Data Life Cycle Management
John Talburt, Professor, University of Arkansas at Little Rock

The inability to properly integrate the same information coming from multiple sources is one of the leading causes of poor data quality in an organization. Whether it is the failure to recognize the same customer making transactions through different sales channels or to aggregate sales of the same product, the negative impact on business can be significant. Effective master data management requires that both IT and Business understand and address the complete life cycle of master data and the fundamental principles of entity resolution (ER). This presentation provides an introduction to current practice in data matching, record linking, and entity information life cycle management that are foundational to building an effective strategy to improve data integration and master data management (MDM).

Major topics include:

  • What entity resolution is and why it is important
  • How entity resolution support data integration and data fusion
  • Three approaches to record matching and their strengths and weaknesses
    • Deterministic
    • Probabilistic
    • Machine Learning
  • An overview of the four major MDM architectures
  • The data quality metrics for entity resolution and MDM

This talk provides an introductory-level overview of entity resolution and the master data life cycle that underpin MDM and entity-based data integration. It is appropriate for both business and IT professionals attending the conference.

Level of Audience
Introductory

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

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12:00 - 12:15 Room Change
12:15 - 12:45 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS

Tuesday
June 4
12:15–12:45

 

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The Best of Both Worlds: Virtual MDM (VMDM) and Traditional MDM
Michael M. Ott, Senior Vice President, Innovative Systems, Inc.

Virtual MDM (VMDM) is a new approach for rapidly enabling a single view of data when data sets are diverse and rapidly changing.  It is a much faster way to get access to a 360° view of data than by using a traditional MDM approach.  However, VMDM has its limitations.  This session will compare these two approaches and discuss an alternative approach that rapidly delivers high-quality, integrated data but maintains that data in a physical, integrated state, ensuring the best of both worlds.

Session attendees will learn about:

  • The pros and cons of VMDM vs. traditional MDM
  • An alternative approach for managing a single view of data
  • The positive impact on critical initiatives including analytics, digital transformation, customer experience and GDPR compliance
  • How the underlying details (blocking and tackling) make all the difference in results
  • The critical role of exception review and the impact on each approach

Level of Audience
All Levels

Speaker:
Michael M. Ott Michael M. Ott
Senior Vice President
Innovative Systems, Inc.

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Tuesday
June 4
12:15–12:45

 

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Data Access Controls for Business Owners
Daniel Brudner, VP of Sales Engineering, PlainID

Business Owners have a huge responsibility when it comes to data access.  Most companies share or hand off this control with developers in their IT organization, but this is can be manual, inflexible, and often inefficient.  Enter Policy Based Access Control (PBAC), where both business owners and IT leaders are given the ability to create logic-based access policies that change as the business changes, and update as the people and data evolve through their attributes such as roles or their actions at a company.  And it doesn’t stop there. Policies can work within the data itself, allowing control over how data can be presented or even masked (e.g. should someone be able to see a Full Social Security Number, or the last 4 digits, or maybe just the fact that the record contains a number.)

Topics covered in this presentation will show how you can manage the full lifecycle of your access management on a continuous and efficient basis:

  • The difference between RBAC and PBAC
  • Tackling “Role Explosion”
  • Policy Authoring Advantages
  • Policy Versioning Advantages
  • Policy Lifecycle Management
  • Analytics Investigation to see who has access to what
  • Product Demo and Q&A

Level of Audience
All Levels

Speaker:
Daniel Brudner Daniel Brudner
VP of Sales Engineering
PlainID

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Tuesday
June 4
12:15–12:45

 

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Building Trust Through Modern Data Management
Peter Morris, Director Data Management, Information Builders

MDM, data quality, and data management can frighten businesspeople. They hear about cost overruns, long timelines, and people getting fired over failed projects, and they start to fear change more than they fear the consequences of doing nothing. This presentation discusses how lessons learned from successful – and failed! – implementations can help define a modern approach to data management, attaining alignment between the business and IT, using techniques developed from big data projects, and creating a more adaptable environment to assure more successes.

Level of Audience
All Levels

Speaker:
Peter Morris Peter Morris
Director Data Management
Information Builders

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Tuesday
June 4
12:15–12:45

 

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Governance Accelerates your Journey to AI
Matt Crittenden, Lead Governance Architect, IBM North America Information Governance Practice
Mark Hensley, Lead Governance Architect, IBM North America Information Governance Practice

Organizations recognize data is what fuels digital transformation, and are looking for new ways to unlock the value of their data and accelerate their journey to AI. That is why 80% of them view AI as a strategic opportunity. Yet, only 19% of organizations understand the data required for AI. Successful organizations apply a prescriptive approach to climbing the ladder to AI, based on governance that delivers everything they need for enterprise AI, on any cloud. Join us to learn how you can build a business data ready platform infused with AI. And get a sneak peak of the latest and greatest that is coming from IBM.

Level of Audience
All Levels

Speakers:
Matt Crittenden Matt Crittenden
Lead Governance Architect
IBM North America Information Governance Practice

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  Mark Hensley Mark Hensley
Lead Governance Architect
IBM North America Information Governance Practice

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12:45 - 1:45 Lunch
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Tuesday
June 4
1:45–2:15

 

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KEYNOTE: Stacking the Deck With Compliance
Scott Buckles, Business Unit Executive, IBM North America Business Analytics and Unified Governance Solutions Sales
Organizations are under two complimentary but frequently misaligned business goals: running a profitable business while reducing risk in conforming to laws and regulations that are evolving monthly.  Finding the path to strategic advantage as you embrace compliance obligations and  think about the strategy ahead to generate more value from your data can be accelerated by AI. This discussion will enable you to:
  • Hear firsthand from organizations and learn best practices in Data Governance and Information Quality using AI techniques and tools
  • Utilize regulations such as CCPA and GDPR as value generators beyond compliance to create a win for your business.
  • Determine key steps in the journey to reduced risk with maximized data value through AI

Level of Audience
All Levels

Speaker:
Scott Buckles Scott Buckles
Business Unit Executive
IBM North America Business Analytics and Unified Governance Solutions Sales

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2:15 - 2:30 Room Change
2:30 - 3:00 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS

Tuesday
June 4
2:30–3:00

 

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How Implementing Data Governance with Knowledge Graphs Enables Enterprise AI
Irene Polikoff, CEO, TopQuadrant

Artificial Intelligence (AI) and Machine Learning (ML) are umbrella terms for a wide set of algorithms, technologies and approaches that make software seem 'smart’.  Such algorithms can discern patterns in data so that when new data comes in, they can apply patterns to make conclusions about new data.

Knowledge representation and reasoning (KR) is the field of AI dedicated to representing information about the world in a form that a computer system can utilize. Knowledge Graphs are part of the KR branch of AI. They capture data as well as semantics or the meaning of data.  They enable computers to reason based on the full available contextual and conceptual information.
  
Knowledge graphs can help with key challenges of data governance. It is becoming widely accepted that Knowledge Graphs are also excellent at guiding and focusing ML and at serving as a unifying fabric for the different AI algorithms.  Leading companies who are investing in knowledge graphs include Google, Apple, Amazon, Airbnb, Bloomberg, Facebook, LinkedIn, Thomson Reuters – and these are just a few.

In this presentation we will: 

  • Provide a brief history of Knowledge Graphs
  • Demonstrate how they address key challenges of data governance
  • Give a concise overview of AI and ML technologies
  • Discuss how knowledge graphs provide a powerful platform for both integrated data governance and strategic enterprise AI / Machine learning
  • Showcase specific real world examples of how knowledge graphs support rules and learning that add new knowledge that can support further learning in a virtuous cycle

Level of Audience
All Levels

Speaker:
Irene Polikoff Irene Polikoff
CEO
TopQuadrant

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Tuesday
June 4
2:30–3:00

 

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Grab the Advantage - Modernize Data Governance with Data Science while Addressing Regulatory Demands, and Better Supplying your Data Scientists with the Data they Need
Ron Davis, Data Governance Practice Director, Prolifics
Brian Kordelski, Global Sales Leader, Data Fabric, Prolifics

Are you challenged with driving the momentum of data governance within your organization. Are you up against the crucial regulatory mandates including CCPA, GDPR and other demands in your business. Have you considered taking advantage of newly created solutions including Machine Learning (ML), Artificial Intelligence (AI) and other modern platform solutions to drive your business more efficiently?  Come join Prolifics where we will share industry changing solutions to enhance or augment your existing Data Quality and Data Governance solutions while helping address your regulatory demands. Prolifics will share our proven approaches and solutions for simplifying your data governance implementation, addressing regulatory demands, and equipping your data scientists with the high-quality data they need.  

Level of Audience
All Levels

Speakers:
Ron Davis Ron Davis
Data Governance Practice Director
Prolifics

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  Brian Kordelski Brian Kordelski
Global Sales Leader, Data Fabric
Prolifics

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3:00 - 3:45 Ice Cream Break and Exhibits Open
arrow3:45 - 4:30 CONCURRENT SESSIONS

Tuesday
June 4
3:45–4:30

 

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Vital Soft Skills to Advance Data Governance: Not-So-Secret Success Strategies
Maureen Velazquez, Data Governance Manager, Yale University
Kathleen Warmoth, Data Governance Manager, Stanford University

Through brief case studies, we will illustrate the skills that support successful domain definition, expert identification, stakeholder participation, knowledge transfer, and teamwork. We will also share some recommended best practices to leverage resources, gain traction, and improve sustainable data governance.

Using information-driven collaborations and offers (not requirements) to support the institution in aligning analytical understanding and data uses with effective artifacts, metadata, and expert-guided definitions, the speakers will share simple but effective strategies to either launch or enhance your data governance program.

Topics include:

  • Active listening and recognition
  • Adaptable tailored stewardship
  • Effective communication and promotion
  • Inclusive partnering, or teamwork
  • Problem solving
  • Transparent knowledge management

Level of Audience
Intermediate

Speakers:
Maureen Velazquez Maureen Velazquez
Data Governance Manager
Yale University

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  Kathleen Warmoth Kathleen Warmoth
Data Governance Manager
Stanford University

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Tuesday
June 4
3:45–4:30

 

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Overcoming the Challenges When Standing up a Data Quality Program at Quicken Loans
Jessica Magee, Director, Data Quality Assurance, Quicken Loans
Jessica Magee, Director of Data Quality Assurance, will be sharing the challenges she faced when standing up a Data Quality program at Quicken Loans. She will provide an overview including step by step instructions on how she overcame these challenges.  The approach that contributed to her success included:
  • Internal marketing
  • Establishing an engagement lifecycle
  • Creating a definition of ready
  • Socializing when and when not to engage with Data Governance and Data Quality

Level of Audience
Introductory

Speaker:
Jessica Magee Jessica Magee
Director, Data Quality Assurance
Quicken Loans

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Tuesday
June 4
3:45–4:30

 

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Advancements in the Data Governance Architecture
Steven Zagoudis, CEO, MetaGovernance
Efforts to advance Data Governance within organizations is forcing Data Governance Specialists, Information Security Specialists, Data Scientists, and Architects to realize that they must function across the organizational if they are to truly solve business and technical data issues.  But there are so many components to the data and process landscape and elusive metadata is the only glue that binds these components. There is increasing awareness that overall Metadata Governance is required to truly understand the relationship between data, business, and technology.   Advancements in Metadata Governance have increased the focus on technical data, and business process definition.  Metadata tools are creating isolated pools of metadata requiring metadata warehousing to see across the enterprise. Thought leaders in Data Governance are advancing a comprehensive Data Governance Architecture that is, in essence, an integration between the Data Governance Stewardship model, Metadata Governance, and advancements in traditional Enterprise Architecture. 

During this session you will learn:

  • Advancements in the definition of components of the Data Governance Architecture
  • Business and technical ramifications of emergence of the Data Governance Architecture
  • The relationship and roles of the Enterprise Architect, Business Architect, Security Architect, and Data Architect in sustainable Data Governance.
  • Clarifications in the definition of a Metadata Governance that have emerged over the past few years.
  • The Data Governance Metadata and Reconciliation Map.
  • Critical Success Factors to driving business value from the Data Governance Architecture.

Level of Audience
Advanced

Speaker:
Steven Zagoudis Steven Zagoudis
CEO
MetaGovernance

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Tuesday
June 4
3:45–4:30

 

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The Revolution of Policy Based Access Control: Controlling who can Access your Data
Daniel Brudner, VP of Sales Engineering, PlainID
There is an increasing risk, both financial and reputational, that is a call to action for many businesses to take back full control of data authorization and governance. As the complexity of digitalization and new found data science capabilities drives greater demand for data democratization, the complexity and diversity of data consumers and the data assets and resources they need to consume is also changing.  The challenge of course, is how to significantly improve data accessibility, without compromising usability, remaining compliant and still operate an effective and efficient governance process that is transparent and actively monitoring the consumption of data and information resources across the business ecosystem.

In this session, you will learn:

  • The Evolution of Data Access Control
  • What is Policy Based Access Control (PBAC)
  • How PBAC supports Compliance Processes
  • Building a Policy for Governance
  • Enterprise Case Study

Level of Audience
All Levels

Speaker:
Daniel Brudner Daniel Brudner
VP of Sales Engineering
PlainID

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Tuesday
June 4
3:45–4:30

 

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Building Data Inventories to Jump Start your Data Governance Journey
Jimm Johnson, Data Governance Program Manager, Scripps Health
Managing data assets is a key strategy for an effective data governance program. "Data assets" refer to any entities that comprise data – including databases, data models/marts, applications/source systems, extracts, reports/dashboards, metrics, and glossaries. Inventorying these data assets helps position your data governance efforts for success by providing tools for your employees to better understand, interact with & find the data assets that fall within the purview of your data governance program.

This session will provide guidelines for identifying your data assets and documenting them using tools you may already own as a way to jump start your inventorying journey. If you don't yet have a data governance program or data governance tools and you are pondering how to launch it, building data asset inventories is a great way to start!

This session will cover:

  • Defining your data assets
  • Identifying which fields to document for each data asset
  • Categorizing data assets for ownership & stewardship
  • Evaluating tools you already own to do all of this
  • Engaging IT and BIZ staff to help inventory

Level of Audience
Introductory

Speaker:
Jimm Johnson Jimm Johnson
Data Governance Program Manager
Scripps Health

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4:30 - 4:45 Room Change
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Tuesday
June 4
4:45–5:30

 

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Lessons Learned While Certifying Enterprise Data in the Data Lake for Analytics Use
Susan Swanson, Senior Manager of Data Quality and Governance, Health Care Service Corporation

After hearing from business data stewards and analytics stakeholders that trust in the data is the top consideration when integrating and consuming enterprise data, the data enablement team at HCSC introduced a Data Certification process to implement controls, verification, and monitoring of data quality for all enterprise data delivery solutions in the data lake. Only after completing the data certification process are data catalog and data contents published and made available for broad consumption use.

A four step approach to Data Certification was defined by a collaborative group of enterprise analytics and data enablement team resources, for implementation and roll out as part of 2018 project deliveries.

This presentation discusses the data certification process steps in detail, and shares discoveries and improvements made along the way as part of incorporating feedback and lessons learned, including:

  • Establishing Data Quality Validation Standards
  • Review of Data Definitions and Documentation
  • Evaluation of Data Capabilities
  • Activating Ongoing Data Quality Monitoring and Change Control

Level of Audience
Intermediate

Speaker:
Susan Swanson Susan Swanson
Senior Manager of Data Quality and Governance
Health Care Service Corporation

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Tuesday
June 4
4:45–5:30

 

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Meeting the CCPA Challenge
Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

The California Consumer Privacy Act (CCPA) is the first major data privacy initiative in the USA and will come into force on 1 January 2020.  This presentation explains the background of the CCPA and the major elements that require compliance.   The impact of Data Governance and Data Management is explained, together with the consequences of noncompliance.  As some organizations have already had to comply with the European Union’s General Data Protection Regulation (GDPR) the differences between CCPA and GDPR are examined to highlight the aspects of CCPA that are unique.  Approaches to achieving compliance are discussed in relation to the rights that consumers now have as well as the new obligations placed on businesses.  In particular, the differences between privacy and security are described.  The impact on Data Governance as a coordinating function, and the need to bring together disparate parts of the enterprise to meet they CCPA challenge are emphasized. 

Attendees will learn:

  • What the CCPA is and its major provisions
  • The differences between the CCPA and the GDPR
  • How Data Governance can be organized to deal with CCPA
  • Approaches to achieving compliance with CCPA

Level of Audience
Introductory

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

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Tuesday
June 4
4:45–5:30

 

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Setting up an Effective Data Governance Program - Our Experiences at Amica
Sheila Embree, Lead Data Governance Analyst, Amica Mutual Insurance Company
Don LeMay, Data Governance Analyst, Amica Mutual Insurance Company

When establishing a Data Governance program, one of the major challenges is ensuring it is an effective program that brings value to your company.  You as a data governance professional know what you need to be doing, but your enterprise is not so sure it's the right thing. 

This session will highlight the challenges and successes of Amica's journey toward Data Governance effectiveness:

  • Finding the right data stewards for your organization
  • Engaging the data governance council
  • Demonstrating value to the business and/or IT areas
  • Assess what works, what doesn't work and how to "find a groove"
  • There will be more - join us to find out what they are!

Please consider joining this session whether you are just starting on your journey, or you are well on your way but things seem to be a bit stale or stagnant.

Level of Audience
Introductory

Speakers:
Sheila Embree Sheila Embree
Lead Data Governance Analyst
Amica Mutual Insurance Company

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  Don LeMay Don LeMay
Data Governance Analyst
Amica Mutual Insurance Company

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Tuesday
June 4
4:45–5:30

 

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Over Communicating?  Not likely!  
Karen Coronado, Data Governance Lead Analyst, Lennox International

Have you recently started implementing Data Governance and Quality in your organization?  Do you feel that everyone in the enterprise understands and knows what Data Governance is?  What data is?  If the answer is no, I have found that sending quick one page documents out educates without being overly complicated and long.

In this session I will share examples of communication plans and different types of documents that can be easily be created and provide meaningful information within your organization. 

Topics:

  • Communication Plan
  • Communication Examples
  • Frequency and audience

Level of Audience
Introductory

Speaker:
Karen Coronado Karen Coronado
Data Governance Lead Analyst
Lennox International

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Tuesday
June 4
4:45–5:30

 

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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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5:30 - 7:30 EXHIBITS AND RECEPTION
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