Conference Sessions and Afternoon Workshops
December 4, 2019
| Wednesday December 4 7:30–3:30 |
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| Wednesday December 4 7:00–8:00 |
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| 7:30 - 8:00 | |||||||||||||||||||||||||||
Wednesday |
The Leader’s Data Manifesto Danette McGilvray, President and Principal, Granite Falls Introduced in 2017 and now available in 12 languages, the Leader's Data Manifesto is a declaration of intent to assist leaders of any organization to manage their Information Assets (their data, information and knowledge) as if they were, because they are, a vital business asset. Providing the right data to the right people at the right time is critical to every business activity, every business process and every business decision. Data is foundational to all the high profile issues: to analytics, artificial intelligence, and machine learning; to cyber-security; to the cloud and data sovereignty; to innovation and disruption; and to Blockchain and the Internet Of Things. Yet if organizations were to manage their money the way they manage their data, they would be "broke in a week." There is a fundamental disconnect here. This presentation provides an update on the Leader’s Data Manifesto and how it can help you. Whether you are just learning about the Manifesto or want to see what has happened since it was introduced, join us to find out:
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| 8:15 - 9:00 CONCURRENT SESSIONS | |||||||||||||||||||||||||||
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Implementing Practical and Sustainable Data Governance to Deliver Measurable Results CK Bhatia, AVP Database Systems, Farm Credit Mid-America You walk into a greenfield organization and are tasked to implement Data Governance (in addition to other Legacy modernization initiatives). You don't have any dedicated Resources, time or dollars at the outset. You have to prove business value before you can obtain funding for a full-fledged program. Attendees will learn about our 1 year journey to implementing a practical Data Governance program to deliver measurable results, including:
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Wednesday |
Tips and Tricks for a Successful Data Governance Program Kim Kaluba, Senior Product Marketing Manager, SAS Governance is one of the most difficult challenges faced by organizations aiming to drive business value through data and analytics programs. In this session will discuss the foundations for establishing effective governance. We will address the essential elements for an effective data and analytics governance program, what benefits you can expect from this framework and how you should approach putting an effective framework into practice. We will explore tips and tricks you can bring to your governance program today and the outlook for data governance and AI. Key take aways from this session will include:
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How to Reinvent a Dormant Data Stewardship Initiative Amirah Fayek, Director, Safety Program Management, The Canadian Medical Protective Association So often programs such as Data Stewardship lose visibility, awareness, and fall dormant. How do you reintroduce a tried but no longer effective program? What will ensure data stewardship gains the traction and awareness critical to success this time around? This session discusses how Data Stewardship was relaunched successfully in a small-to-mid size organization. Hear firsthand about the ways to achieve buy-in from key stakeholders, generate awareness and excitement, and implement a sustainable program. The presentation will include the showcasing of a video used to generate organization-wide awareness. Primary takeaways:
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Wednesday |
Our Pain is Your Gain Tips from the Trenches Practitioners Panel Moderator: Len Silverston, President, Universal Data Models Panelists: Brian Paull, Director Credit Risk and Data Mgmt, First Citizens Ryan Brochez, Enterprise Data Architect, Royal College of Physicians and Surgeons of Canada Jimm Johnson, Data Governance Program Manager, Scripps Health Anne Buff, Director, Data Governance, Envolve Health Alexis Suer, Leader, Big Data Governance, FIS In this panel session successful data governance practitioners from diverse industries will discuss the challenges they overcame and key successes in their data governance journeys. Topics include:
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| 9:00 EXHIBITS OPEN | |||||||||||||||||||||||||||
| 9:00 - 9:30 COFFEE BREAK | |||||||||||||||||||||||||||
| 9:30 - 10:15 CONCURRENT SESSIONS | |||||||||||||||||||||||||||
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Building a Data Management Risk and Governance Program at Wells Fargo David McDowell, Operational Risk Manager, Wells Fargo Miah Manns, Data Integrity Manager, Wells Fargo The Data Management Insights (DMI) line of business within Wells Fargo is only a few years old, to fill a void for little to no Data Management practices, procedures, and policies. Financial institutions have a heavy focus on Risk Management. It became clear with the advent of the DMI business of data, that risk practices would need to be developed around data management risk. The Data Management Risk program was stood up in 2018 and still being built into 2019. Components of the program: Risk Appetite for Data Management, Key Indicators and Metrics, Data Management Risk Statements to identify and assess risk, enterprise-wide training and communication on Data Management risk, Data Management Risk policy, and integration into the Wells Fargo Enterprise and other risk programs. Level of Audience: |
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Wednesday |
The
Challenges and Success of Amica Mutual Insurance’s Journey to Effective
Governance 2019 Data Governance Best Practice Award Finalist Donald LeMay, Data Governance Analyst, Amica Mutual Insurance As your Data Governance program evolves, one challenge is ensuring you have the right people in the right roles. These positions and their importance can and will change over time as you continue to bring value to your organization. This session will highlight the challenges and successes of Amica's journey toward Data Governance effectiveness:
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: |
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Wednesday |
Developing A Data Governance Framework in a Federated Data Management Environment Amber Sexton, Data Governance Manager, Washington Health Care Authority How do you develop a data governance program in an organization where data management is decentralized? What is the right mix of regulations versus data governance as a service? This session will walk you through a data governance manager's journey on developing and operationalizing a data governance program in a tightly regulated field. The Washington State Health Care Authority (HCA) purchases insurance for more than two million Washington residents. Therefore nearly all of their data is Protected Health Information. This presents unique challenges in implementing a governance framework, namely requiring the initial focus to be at the end of the data lifecycle: data sharing. Come prepared to learn from their successes and missteps. Key discussions include:
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Wednesday
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Featured Facilitated Discussion How to Demonstrate the Value of your Data Governance Program Jimm Johnson, Data Governance Program Manager, Scripps Health Whether you’re starting a new data governance program or managing a growing program, you will likely encounter questions like these from executives, stakeholders, business partners and customers who struggle to understand the value of your data governance program:
You can leverage a variety of metrics to show value – e.g., data quality rates, number of assigned DG roles, counts of inventoried records, attendance rates at DG meetings or training sessions, labor savings from improved data quality, etc. Ultimately, how you measure value depends on your approach to data governance, the goals of your program, and your organizational culture. Join us for an informal and collaborative discussion to share strategies, insights, ideas, and lessons learned on how to demonstrate the value of your data governance program. Level of Audience: |
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| 10:15 - 10:30 COFFEE BREAK | |||||||||||||||||||||||||||
| 10:30 - 11:15 CONCURRENT SESSIONS | |||||||||||||||||||||||||||
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Venturing
into the Wilderness - NEPC's Data Governance and Analytics Journey Gregory Serapiglia, Senior Data Steward, NEPC, LLC The presentation will focus on NEPC's journey over the past 5 years as we have established our Data Management and Governance Team. It will highlight the steps we have taken to date on this journey, focusing on the successes as well as the challenges we have encountered along the way. We will also showcase where we are in the process today, including how we have effectively rolled out and are utilizing new tools and applications throughout the organization. We will conclude by discussing what we expect to accomplish from a Data Management and Governance perspective in the years ahead. Focus of the presentation will touch on these steps for our Data Governance and Analytics Journey:
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Wednesday |
How
to Get your Executives to Support your Information Management/Governance
Strategy 2019 Data Governance Best Practice Award Finalist Greg Whicker, Director, Salt River Project (SRP) How to Get your Executives to Support your Information Management/Governance Strategy? Tip… DON’T call it an “Information Management Strategy”! Rather bake it into other corporate initiatives they care about! This presentation will help you understand how to navigate the highs and lows of your Information Management/Governance journey; taking your program to new heights, by managing all your information to ensure your company has a solid strategy to sustain into the future. Attendees will learn about the following:
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Wednesday |
Best Practices in Data Lineage David Kowalski, Engagement Director, Reference Point Driven by everything from regulatory mandates to "need-to-know" issues to more mundane concerns, more and more companies are finding value in creating and maintaining data lineage maps for most of their critical data elements. The challenges to such an initiative can be daunting and, even when required by regulators, many business executives may wonder everything from “is it worth it?” to “where do I begin?” Dr. Kowalski is currently running a working group comprised of representatives from an international slate of major financial services firms and consulting companies and will present the group's most recent findings with respect to Data Lineage Best Practices. The primary areas of discussion will be:
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Wednesday |
The Evolving Needs of Protecting Consumer Data through Data Governance Will Shuman, Senior Manager, Protiviti Organizations have continued to progress at a rapid pace in many areas; however, many organizations find themselves without a mature data management ecosystem in place. This disparity has largely been the case of data management and governance practices improperly perceived as not a mission critical item for success. The continued outpacing of truly understanding and managing the increasingly growing amount of data has led to challenges with answering questions that could be simple. For instance, 'How many active customers do we have?' or 'How many accounts does a particular individual use?' may result in 5-10 different answers from multiple teams using various systems. Recent privacy regulations, including the California Consumer Privacy Act (CCPA) requires that organizations provide information associated with how consumer data is used and what information is stored on a individual. In theory, this should be a simple exercise; however, many organizations are stumbling in this area based on poor historical data management practices. In summary, the recent challenges associated with the mismanagement of data has increased the need to understand, categorize, maintain, and protect critical information stored by each organization. In this session, we will focus on the causes behind this issue, discuss methods to begin course correcting, and examples of work that has been done to ensure proper governance practices are adopted for some of the most sensitive information an organization stores regarding private information on individuals. Level of Audience: |
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| 11:15 - 11:25 ROOM CHANGE | |||||||||||||||||||||||||||
| 11:25 - 12:30 | |||||||||||||||||||||||||||
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Data Governance Award Winning Practitioners Tell All Q&A with the Winners and Finalists of the Data Governance Best Practice Award Moderator: Michele Koch, Director Enterprise Data Intelligence, Navient Lead Judge DGPO Best Practice Award Panelists - DGPO Best Practice Award Winners: Scott Peachey, Director Enterprise Data Governance & Quality Assurance, Nationwide Insurance Cynthia Parsons, Consultant, Enterprise Data Governance & Quality Assurance, Nationwide Insurance Kirk Nemshick, Head of Data Management – Center of Excellence, Vanguard Don LeMay, Data Governance Analyst, Amica Mutual Insurance Greg Whicker, Director, ITS Information Management, SRP Lisa Baughman, North American Data Governance Leader, Dun and Bradstreet The speakers in this session are recognized as having implemented the world’s best practices data governance programs. Unlike a formal, structured panel with defined questions and topics this session will provide the unique opportunity for attendees to drive this session, network and ask questions to ALL of the Winners of the DGPO Data Governance Best Practice Award plus this year’s Finalists. Level of Audience |
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| 12:30 - 1:30 LUNCH AND EXHIBITS | |||||||||||||||||||||||||||
| 1:30 - 4:45 AFTERNOON WORKSHOPS | |||||||||||||||||||||||||||
Wednesday |
W1 - Lessons Learned While Implementing and Sustaining Enterprise
Data Governance and Data Quality Programs Michele Koch, Director, Enterprise Data Intelligence, Navient In this workshop, Michele Koch (Director of the Data Governance Office) will present Navient's experiences and resulting best practices while implementing and sustaining their Data Governance and Data Quality programs. Navient's enterprise DG program won the 2011 Data Governance Best Practice Award. Attendees will learn:
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Wednesday |
W2 - How-To Change your Organization to Ensure Successful Data Governance David Marco, President, EWSolutions Data and information are critical assets of any organization and should be considered as valuable a resource as buildings, employees and products. As a result, the study and implementation of Data Governance programs have become key initiatives for most large organizations. For a company to be successful in this endeavor they must change their organizational culture and to have the proper scope for the data governance program. Participants will leave the workshop with a collection of practical steps and techniques that provide real world success. Attendees will have a customized plan for dealing with organizational change management and will have the tools they need to build their own data governance communications and socialization plans. Learning Objectives will include:
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Wednesday |
W3 - Supporting Business Needs through Data Quality Metrics Danette McGilvray, President and Principal, Granite Falls How can a data leader: a) convincingly demonstrate the business value of high quality data, b) align data quality and governance activities with business goals, and c) clearly define success and incentivize the right behaviors? These are fundamental challenges and opportunities most data leaders and practitioners struggle with routinely. A well-defined approach to data quality metrics provides actionable insights about the most important data on which your organization depends and suggests desired interventions needed to improve results. Metrics provide visibility to data quality issues so we can react quickly when they arise. Those same metrics can show us where things are working so we can confidently turn our attention to other priorities. There is also an art to metrics – understanding that metrics change behavior and designing them so you promote the behavior you intend. This presentation will be beneficial to those seeking to enhance the value and effectiveness of their data quality function. Participants will leave equipped with robust techniques to develop or polish their data quality metrics and turn them into effective action. Participants will learn and have a chance to discuss:
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W4 - A Roadmap for Building a Successful Data Quality Program: How to Get Started, and How to Assess and Improve What You Have John Talburt, Professor, University of Arkansas at Little Rock Every organization will say they want high-quality data, but there is still confusion about some of the most fundamental questions. People often ask "What is data quality?" "How is it measured?" "How do I show the value of data quality to management?" "How do I build an effective data quality program? The tutorial is designed to answer these and other related questions and give participants actionable steps to implement a successful data quality management program. Accurate business reporting and data analytics can only be achieved using high-quality data. Yet many organizations either do not have a data quality program, or they just focus on standardizing source data. Having a complete, ongoing program to measure, monitor, and improve the quality of data is a competitive advantage for an organization in today’s data driven economy. This tutorial is primarily for participants starting a comprehensive data quality program or wanting to assess and improve the capabilities of an existing data quality program. Hands on exercises are included. Participants will learn:
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