Conference Sessions
December 3, 2019


Tuesday
December 3
7:00–6:00
Registration
Tuesday
December 3
7:00–8:30
Continental Breakfast
7:45 - 8:30 

Tuesday
December 3
7:45–8:30

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Lessons Learned in Data Stewardship from Successful Practitioners
The Data Governance Professionals Organization (DGPO) Annual Winter Meeting
The Data Governance Professionals Organization
One of the many questions the Data Governance Professionals Organization (DGPO) receives from members is ‘What are some of the Data Governance best practices?

In this session, members of the DGPO Board will do a deep dive into Data Governance Best Practices in Data Stewardship. 

The following topics will be discussed:

  • A Chief Data Steward’s best practices for building and sustaining strong data stewardship
  • Data Governance related roles and their associated responsibilities and required skill sets
  • Data Issue Reconciliation
  • Data Standardization

Join us on December 3rd  and  meet and network with DGPO members and conference attendees and learn about some of the top Data Governance Best Practices for Stewardship from seasoned practitioners.  We will also discuss the benefits of membership, progress to date, and future plans for the DGPO.   Since the founding of the DGPO in 2011 the group has grown to over 15,000 list members, 1500 members representing over 300 companies and 16 countries.

Level of Audience
All Levels
THIS SESSION IS OPEN TO ALL CONFERENCE ATTENDEES

8:40 - 8:45 

Tuesday
December 3
8:40–8:45

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Welcome
 

 

8:45 - 10:00  KEYNOTE

Tuesday
December 3
8:45–10:00

KEYNOTE

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KEYNOTE: Is Corporate Data Literacy a New Mission for Data Governance?
Ho-Chun Ho, Global Head of Data Governance and Management, JLL

Data literacy has been an established subject in education and library science for quite some time; it is coming to the commercia space and corporate world. Today corporate data literacy is like a conversation piece in board rooms; we hear that term and receive project proposals from vendors and consultants. We are told that data literacy is the prerequisite to successful digital transformation in any corporation. Is data the new corporate language? Who in your organization should be data literate? How do you make them data literate? Should you start a Data University or Data Academy to achieve corporate data literacy? What role should the data governance people play? How do you measure data literacy?

This presentation will demystify the hype, limits and merits of data literacy. Hochun will share his data governance experience of improving JLL’s and its clients’ maturity level in achieving better communication and decision making through the benefits of better data. He will provide proven approaches and emphasis for your data literacy journey.

Level of Audience:
All levels

Speaker:
Ho-Chun Ho Ho-Chun Ho
Global Head of Data Governance and Management
JLL

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arrow10:00 - 10:30 COFFEE BREAK
10:30 - 11:15 CONCURRENT SESSIONS

Tuesday
December 3
10:30–11:15

Financial
Services
Track

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Vanguard’s Enterprise Data Governance Journey
Winner of the 2017 Data Governance Best Practice Award 
Kirk Nemshick, Head of Data Management – Center of Excellence, Vanguard
Vanguard received the DGPO Data Governance Best Practice Award in 2017 in recognition of the business value and technical excellence they have achieved in the design and implementation of an outstanding data governance program. Key Elements of that framework will be reviewed, as well as the next steps in the journey of bringing the framework into the practice within a data management organization.

Key highlights include:

  • Vanguard’s approach to establish governance framework
  • Determining accountability
  • Deciding on scope and prioritization
  • Integrating governance into a data management organization

Level of Audience:
Intermediate

Speaker:
Kirk Nemshick Kirk Nemshick
Head of Data Management – Center of Excellence
Vanguard

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Tuesday
December 3
10:30–11:15

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Data Empathy-How to Win in Health Care
Kevin Mooney, Senior Director, Enterprise Data Governance, Cleveland Clinic
Josna Koshy, Product Manager Enterprise Data Governance, Cleveland Clinic
While Data Governance has a long-standing body of practice and knowledge in other industries like banking and finance, it is less mature in other sectors, especially in Healthcare.  As a result of this lower maturity, there is a tendency to not know the right strategy to structure and set up a Data Governance program.

At the Cleveland Clinic, historically, our mission is to get the right data to the right people at the right time, while keeping sensitive data safe and secure. There is nothing more sacred in healthcare than Patient Information and its care and governance is mandatory.

This session will educate the audience on how to overcome these challenges by covering the below topics:

  • Importance of Relationships and Partnerships within the Enterprise
  • Structure of our Enterprise Compliance and Operational Interlock
  • Establishing processes for the management of data through Policies and Procedures
  • Communication Framework through Institute Liaison Program and
  • Outline the Technology components that are critical to a successful Data Governance implementation
    • Information Management Program
    • Master Data Management Implementation

In this session, we will also share how having members from diverse career backgrounds on our Data Governance team help complement each other’s skills and lead us to a more successful Data Governance program.. This session will be useful to anyone who is just embarking on setting up an Enterprise Data Governance program within their Organization or is looking to take their implementation to the next level by leveraging industry best practices.

Level of Audience:
Intermediate

Speakers:
Kevin Mooney Kevin Mooney
Senior Director, Enterprise Data Governance
Cleveland Clinic

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  Josna Koshy Josna Koshy
Product Manager Enterprise Data Governance
Cleveland Clinic

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Tuesday
December 3
10:30–11:15

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Data Governance, the Long and Winding Road to Implementation
Bill Dornback, Sr. Mgr, Business Intelligence, Seattle Genetics
Jennifer Yoakum, BI Analyst, Seattle Genetics
Come join us as we share Seattle Genetics’ journey for implementing Data Governance from the ground up in a biotech company.  We started with a green field and worked to implement a data governance community along with educating the organization on process and roles and responsibilities.

This will also be an opportunity to share opportunities and challenges that we all face on our Data Governance Journey.  

Topics include:

  • The Seattle Genetics Story
  • Our Roadmap
  • Finding champions and support within your organization
  • How to manage the Data Governance initiative with competing initiatives.
  • How to impact the evolution  of understanding of Governance in your organization
  • Our challenges and how we mitigated them
Level of Audience:
Introductory
Speakers:
Bill Dornback Bill Dornback
Sr. Mgr, Business Intelligence
Seattle Genetics

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  Jennifer Yoakum Jennifer Yoakum
BI Analyst
Seattle Genetics

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Tuesday
December 3
10:30–11:15

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How We are Moving from Chaos to Community with our Data
Art Steele, Enterprise Data Governance and Quality Lead, Grange Insurance

Organizations can feel like the wild west with the lack of Data Governance.  This can be especially true when the Sheriff is not empowered and that is how it has always been, or it is just easier to do it the old way. 

Presenter Art Steele will discuss how to go from the wild west of old, to a community of new using a set of best practices to help improve the data in your organization.  By speaking a common language and creating an environment for data collaboration, Grange Insurance influenced change behavior education on data.  This allowed for data empowerment throughout the enterprise that brought once siloed departments into a community of data sharing.

By the end of the presentation, attendees should walk away with some new methods to change up the old ways of doing things within their own organizations.

Attendees will learn:

  • How to empower, influence and create bi-directional communication
  • Effectively building a data community of people through Data Stewards and a Data Council to make Data Governance stick
  • Graduate from Excel into a more operative data tool to better organize your data
  • Gain the attention of your senior leaders on why they should care about Data Governance.  Repeat, Data Governance is not a hobby
  • The importance of a process that creates well defined,  communicated, known and trusted data across the organization

Level of Audience:
Introductory

Speaker:
Art Steele Art Steele
Enterprise Data Governance and Quality Lead
Grange Insurance

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arrow11:15 - 11:25 ROOM CHANGE
11:25 - 11:55 DATA GOVERNANCE SOLUTIONS

Tuesday
December 3
11:25-11:55

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Harmonizing Data Management and Data Governance
Andrew McGovern, Senior Pre-Sales Consultant, erwin, Inc.

Organizations won’t succeed at data governance if they fail at data management. But manually cataloging and documenting operational systems, processes and the associated data at rest and in motion has been time-consuming and prone to errors. Join us for this session to see how the erwin Data Intelligence Suite, as part of the erwin EDGE platform, combines data management and data governance in an automated, metadata-driven approach so organizations can:
  • Understand their business, technology and data architectures and the relationships between them
  • Create and automate a curated enterprise data catalog, complete with physical assets, data models, data movement, data quality and on-demand lineage
  • Activate their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy  
  • Ensure all stakeholders have access to data they understand and are authorized to use so they can base strategic decisions on a full inventory of reliable information.

Level of Audience:
All Levels

Speaker:
Andrew McGovern Andrew McGovern
Senior Pre-Sales Consultant
erwin, Inc.

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arrow11:55 - 1:00 Lunch and Roundtables
1:00 - 1:45 CONCURRENT SESSIONS

Tuesday
December 3
1:00–1:45

Financial
Services
Track

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Award Winning Practices in Data Governance from Dun and Bradstreet
Winner of the 2018 Data Governance Best Practice Award
Lisa Baughman, North American Data Governance Leader, Dun and Bradstreet

This presentation will showcase a number of best practices in Data Governance put into practice in the Data Governance program at Dun and Bradstreet (D&B) that won the prestigious DGPO Data Governance Best Practice Award. One such practice is Data Stewardship - the establishment of a network of individuals across the enterprise who champion Data Governance in their area of the business and communicate back to central Data Governance issues that need to be addressed. Closely related to this is the practice of using RACI matrices to distribute Data Governance accountabilities, and this too is explained. Data Classification is another best practice that has been implemented in order to categorize data elements for particular governance needs.  Finally, this presentation will explain the mechanisms to policy compliance.

Attendees will learn:

  • How D&B has implemented best practices in the areas of Data Stewardship, RACI, Data Classification, and Data Policy Compliance
  • How D&B rolled these out to the organization
  • The details of these best practices
  • The challenges and successes of the best practices

Level of Audience:
Intermediate

Speaker:
Lisa Baughman Lisa Baughman
North American Data Governance Leader
Dun and Bradstreet

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Tuesday
December 3
1:00–1:45

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When Top-Down Data Governance is Not an Option
Rachini Moosavi, Exec. Director Data Solutions & Governance, UNC Health Care
Sonya Jordan, Data Governance Consultant, UNC Health Care
Best practice research says that Data Governance works best when enforced from the top of the organizational hierarchy down to the front-line.  But what happens when DG is essential to an organization's analytics journey, yet the organization’s culture isn’t top-down?  UNCHCS stumbled through the process of finding the right answers to this question. 

You will learn about the following approaches UNCHCS took to kick-start Data Governance:

  • Operational Reporting & Business Intelligence Teams (ORBITs): decentralized BI teams that embrace DG principles and processes
  • Certification: Good documentation and Certification guide everyone to know what, when, where, and how to reuse analytical asset including metrics, models, reports
  • DG Strategy Map: Strategy that embraces grass-roots reality but enables long-term vision
  • Timing is everything: No need to rush.  Find the right opportunity that enables a more enterprise-wide program
  • Today: Enterprise DG program capabilities like a DG Council, Data Quality framework, DG tool adoption, and Stewardship

Level of Audience:
Introductory

Speakers:
Rachini Moosavi Rachini Moosavi
Exec. Director Data Solutions & Governance
UNC Health Care

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  Sonya Jordan Sonya Jordan
Data Governance Consultant
UNC Health Care ty

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Tuesday
December 3
1:00–1:45

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How to Include Data Remediation in Your Data Quality Management Lifecycle
Chris Davis. Data Governance Manager, Alliance Data
In this session you will learn why Alliance Data implemented a data quality management lifecycle and provide ideas as to how you can develop data quality remediation to address your information quality concerns.

This presentation will walk you through the steps and processes of our data quality management lifecycle including:

  • Business justification
  • Establishing and profiling KPIs and CDEs
  • Creating a scorecard and dashboard to monitor data quality
  • Remediation and root cause analysis
  • Evaluating the cost of bad data

Level of Audience:
Intermediate

Speaker:
Chris Davis Chris Davis
Data Governance Manager
Alliance Data

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arrow1:45 - 2:00 ROOM CHANGE
2:00 - 2:30  KEYNOTE

Tuesday
December 3
2:00–2:30

KEYNOTE

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Data Intelligence: Empowering the Citizen Analyst to Realize True Business Value
Danny Sandwell, Director, Product Marketing, erwin, Inc.

The intersection of three technological advances  1) exploding data production, 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning and artificial intelligence – have established a fertile environment for data innovation. As such, we’ve seen the rise of the “citizen analyst” who brings business acumen and subject-matter expertise closer to discovering strategic and tactical data-driven insights. But the opaqueness, complexity and siloed nature of enterprise data has hindered this role, increasing the risk of failure and swelling the time and effort to realize true business benefits.

As with any complex mission, the key to achieving your objectives is sound, actionable intelligence. In the case of empowering the citizen analyst, shared enterprise data assets must be made available to a broad set of data consumers in a governed way.

This governed data intelligence includes:

  • Organizing available data assets in a consumable and contextual way to raise awareness among different data consumers
  • Improving data literacy among these consumers as to how different data assets can be used while observing data policies and maintain regulatory compliance
  • Simplifying and accelerating data accessibility to support citizen analysts’ needs through automated data management and process optimization

In this session, we’ll look at the key elements for successful and sustainable data intelligence through the lens of traditional intelligence practices.

Level of Audience:
All Levels

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

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arrow2:30 - 2:40 ROOM CHANGE
arrow2:40 - 3:10 DATA GOVERNANCE SOLUTIONS

Tuesday
December 3
2:40–3:10

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Level of Audience:
All Levels

arrow3:10 - 4:00 ICE CREAM BREAK AND EXHIBITS OPEN
4:30 - 4:45 ROOM CHANGE
4:45 - 5:30 CONCURRENT SESSIONS

Tuesday
December 3
4:45–5:30

Financial
Services
Track

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The Practical Application of Data Governance at a $35b Financial Institution
Brian Paull, Director Credit Risk and Data Mgmt, First Citizens
Mike Russell, Enterprise Data Manager, First Citizens
Follow First Citizens Bank through their journey standing up a data governance infrastructure.  Learn about mistakes, success stories, and how they view the next phase of their evolution as a data centric organization.  This is a practical discussion of how theory meets reality in the world of budget constraints, regulatory pressure, and sporadic organizational support.  It is not THE answer to standing up a data governance infrastructure; it is one bank’s real-world experience.

This case study will include:

  • An overview of the size and scale of First Citizens and systems infrastructure for context
  • A historical recap of milestones from pre-data governance era to board approved policy and what major influences helped shape the current state
  • Practical suggestions on how to get started and transition from regulatory requirements to value add work
  • Visual examples of tools used to for metadata, lineage, exception reporting, and board reported Key Risk Indicators (KRI) for data quality

Level of Audience:
Intermediate

Speakers:
Brian Paull Brian Paull
Director Credit Risk and Data Mgmt
First Citizens

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  Mike Russell Mike Russell
Enterprise Data Manager
First Citizens

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Tuesday
December 4:45–5:30

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Introducing a Data Governance Program - What Helped, What Didn’t and Avoiding Our Mistakes
Ryan Brochez, Enterprise Data Architect, Royal College of Physicians and Surgeons of Canada
This presentation will share lessons learned from introducing a Data Governance program at the Royal College of Physicians and Surgeons of Canada. The presenter led the establishment of a Data Governance Office and has coordinated the program from its inception to its current state of operations. This session is intended for small to mid-sized organizations who want to implement a Data Governance program from scratch.

Posing eight strategic questions the presenter will share lessons learned on what did or did not help meet challenges many organizations will also face establishing and implementing their own Data Governance program.

  1. What kind of environment will you operate in?
  2. How will your program be structured?
  3. How will you establish priority?
  4. How will you move initiatives forward?
  5. How will you measure progress?
  6. How will you spread education and awareness?
  7. What artifacts should you produce?
  8. What technologies do you need?

Attendees will learn:

  • How to structure their program for their organization.
  • How to establish priority and spread awareness.
  • How to measure progress and move initiatives forward.
  • What artifacts and technologies are necessary.

Level of Audience:
Introductory

Speaker:
Ryan Brochez Ryan Brochez
Enterprise Data Architect
Royal College of Physicians and Surgeons of Canada

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Tuesday
December 3
4:45–5:30

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Case Study:  Distributed Data Stewardship for Contact Records in a CRM System
Mike Ostrander, AVP Data Governance, Vizient Inc
Vizient is the nation's leading health care performance improvement company, and as a member-owned, member-driven healthcare improvement company, it is critical for us to know our members.  Like other B2B companies, our needs went beyond address validation and householding, so we couldn’t solve this with just technology.  As part of a data cleanup project in Vizient's existing enterprise CRM, we successfully implemented a program of Contact Data Governance and Stewardship. 

In this case study, we will cover:

  • Strategies and drivers used to get the project launched
  • Critical data elements identified in our CRM, and multi-pronged approach to data cleanup
  • In-house tools and resources that made the project successful
  • Rollout and Training 100’s of Sales & Client Management staff to be Data Stewards
  • What worked, and what didn’t

Level of Audience:
Introductory

Speaker:
Mike Ostrander Mike Ostrander
AVP Data Governance
Vizient Inc

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Tuesday
December 3
4:45–5:30

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Initiating Data Governance using Robotic Process Automation
Melissa Hollingsworth, Director, Data Management Organization, Smith & Nephew

Robotic Process Automation (RPA) is a rapidly growing demand within Data Management.  Learn how Smith & Nephew, a leading medical device manufacturer, initiated Data Governance using RPA with workflow-based process management. 

Smith & Nephew is using RPA, across multiple data domains, to proactively manage data quality, automate master data creation and improve levels of efficiency, reliability, scalability, and control.

Attendees will learn:

  • How and where to get started
  • How to ensure that your enterprise data can be used with confidence across your entire organization
  • How using robotic process automation (RPA) with workflow will make business processes and data management more efficient

Level of Audience:
Intermediate

Speaker:
Melissa Hollingsworth Melissa Hollingsworth
Director, Data Management Organization
Smith & Nephew

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5:30 - 7:30 RECEPTION AND EXHIBITS
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