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
8:40–9:20

 

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

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

In this session, attendees will learn about:

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

Level of Audience
Intermediate

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

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

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Tuesday
June 4
11:15–12:00

 

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Governing Product Information
Henrik Liliendahl, Owner, Liliendahl.com

There is a little difference between how we can exercise data governance and information quality management when we are handling data about products versus handling the most common data domain being party data (customer, vendor/supplier, employee and other roles).

This session will go through these topics:

  • Product master data vs. product information
  • How Master Data Management (MDM), Product Information Management (PIM) and Digital Asset Management (DAM) stick together
  • The roles of 1st party data, 2nd party data and 3rd party data in MDM, PIM and DAM
  • Business ecosystem wide product data management
  • Cross company data governance and information quality alignment 

Level of Audience
Intermediate

Speaker:
Henrik Liliendahl Henrik Liliendahl
Owner
Liliendahl.com

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

 

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KEYNOTE:

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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3:00 - 3:45 Ice Cream Break and Exhibits Open
arrow3:45 - 4:30 CONCURRENT SESSIONS
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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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Killing Traditional Data Management: The Case for Intuitive Data Quality Design and Stealth Data Governance
Chris Josefy, Manager, Business Solutions, EP Energy
Traditional data management isn't a one size fits all strategy. Historic best practices models and large, formalized structures aren’t a recipe for success for many organizations. By utilizing a right-sized, intuitively designed approach, companies can implement a sustainable stealth data governance organization that will be inherently adopted by end users.

This presentation will utilize an actual implementation at EP Energy to show others how to break away from traditional data quality dimensions and instead structure rules and scorecards into intuitive, business relevant dimensions, how this structure enables immediate adoption and buy-in by business users with no training, and how those users unknowingly become part of a sustainable, stealth data governance model that breaks away from the formalized models that choke so many organizations

You will learn:

  • Stealth data governance can create effective data stewards without them actually knowing what they are really doing
  • How to adopt a "just do it" philosophy to data governance by utilizing simple tools and starting without any formalized processes or structures
  • To break out of the academic definitions of data quality and instead think of data quality in terms the business understands to create scorecards they will adopt with little or no training

We are a smaller organization (less than 400 employees) and I find that hearing some contrarian views to the typical large organization data governance philosophy can be very helpful to many organizations.  This presentation is probably the opposite of many typical case studies presented by organizations with formal data governance organizations.

Level of Audience
Intermediate

Speaker:
Chris Josefy Chris Josefy
Manager, Business Solutions
EP Energy

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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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4:30 - 4:45 Room Change
arrow4:45 - 5:30 CONCURRENT SESSIONS

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, Information Management Professional, 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
Information Management Professional
Health Care Service Corporation

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Tuesday
June 4
4:45–5:30

 

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Emerging Trends in Data Governance
Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

Data Governance first emerged as an enterprise function around 2005 and has continued to evolve since that time.  Today, we are seeing a number of new trends that are already having a major impact on Data Governance and will inevitably lead to a new generation of the practice.  This session describes these trends and provides practical implementation guidance that includes avoiding risks inherent in the trends.  Foremost is a shift from Centralized (“Top-Down”) Data Governance to a more “democratized” or “Agile” approach.  This involves providing support for data users as well as rule-making.  Secondly, the technologies for Data Governance are maturing, and this is having an effect on the way Data Governance is carried out.  The Data Catalog is an example.  Additionally, the move to the Cloud, while primarily to reduce infrastructure costs, has many implications for Data Governance.  Other important trends will also be examined.

Attendees will learn:

  • How we got to the point where we are in Data Governance, so that the impact of the new trends can be understood
  • The fundamentals of the new Agile Data Governance
  • The impact of new Data Governance technologies, especially the Data Catalog
  • How the Cloud, and Cloud technologies, affect Data Governance and how to respond
  • Other emerging trends in Data Governance and how the practice will change
  • Using key success factors in execution

Level of Audience
Advanced

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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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
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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5:30 - 7:30 EXHIBITS AND RECEPTION
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