Conference Sessions - June 4, 2019
| Tuesday June 4 7:30–8:30 |
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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:
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| Tuesday June 4 8:30–8:40 |
Welcome |
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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:
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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:
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| 9:50 - 10:15 Coffee Break | |||||||||||||||
| 10:15 - 11:00 CONCURRENT SESSIONS | |||||||||||||||
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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:
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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:
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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:
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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:
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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:
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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 |
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| 11:00 - 11:15 Room Change | |||||||||||||||
| 11:15 - 12:00 CONCURRENT SESSIONS | |||||||||||||||
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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.
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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 |
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Launching Statewide Data Stewardship Training in Arizona Lisa Williams, Manager, Office of Data Management, Arizona Department of Water Resources 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:
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 |
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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:
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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:
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 |
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Keeping up with the Chaos - The Evolution of Data Governance at Worldpay Alexis Suer, Principal Data Governance Consultant, Worldpay In the world of enterprise data governance, culture changes are inevitable. Compound the complexity of starting your program with the calamity from multiple mergers and acquisitions and you get organizational chaos. During this informative session, we’ll explore not only what it takes to launch your enterprise data governance program but also how to navigate change, build momentum, and develop a sustainable framework for success, even in a highly dynamic environment. During the session, you’ll discover how Worldpay established and persisted its four pillars to governed data in the ever-changing environment at the world’s leading payment processing company, while evolving their data governance operating model. You’ll hear how the team at Worldpay:
This is a can’t miss session for anyone dealing with changes, establishing a new program, or looking to build and sustain momentum with their enterprise data governance program Level of Audience |
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| 12:00 - 12:15 Room Change | |||||||||||||||
| 12:15 - 12:45 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS | |||||||||||||||
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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:
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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:
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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 |
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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 |
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| 12:45 - 1:45 Lunch | |||||||||||||||
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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:
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| 2:15 - 2:30 Room Change | |||||||||||||||
| 2:30 - 3:00 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS | |||||||||||||||
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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.
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Vision to Value Faster 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 |
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Fueling Strategic Business Initiatives with Intelligent Data Governance Susan Wilson, VP Data Governance Segment Leader, Informatica Today’s data-driven digital transformations need technology that can automate and scale to power intelligent data governance. During this session, learn best practices and tips on how end-to-end data governance fosters business and IT collaboration with governed, protected, and trusted data to fuel strategic business initiatives and support regulatory compliance. In addition, learn how privacy by design principles can help organizations intelligently discover, identify and protect sensitive information and ensure consent and ethical data processing. Level of Audience |
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The Future of Data Management Eric Melcher, CTO, Profisee Group, Inc. Level of Audience |
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| 3:00 - 3:45 Ice Cream Break and Exhibits Open | |||||||||||||||
| 3:45
- 4:30 CONCURRENT SESSIONS |
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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:
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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:
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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:
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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:
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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:
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| 4:30 - 4:45 Room Change | |||||||||||||||
| 4:45
- 5:30 CONCURRENT SESSIONS |
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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:
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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:
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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:
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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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:
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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:
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Using Knowledge to Drive Insights and Guidance to Data Management Activities Tyler Warden, Syniti Organizations today are looking to drive meaningful business outcomes from all investments in data. These outcomes are best achieved when spoken about and actioned from a business perspective and business typically do not think in terms of data stores, rows, and data values - rather they speak in terms of business process, KPIs, OKRs, and outcomes. The bridge between business outcomes and data is knowledge and it is by storing this knowledge in unique ways and using modern techniques to derive insights from this knowledge can organizations be guided to use their limited resources around data for maximized positive value. In this session we will cover our view of knowledge driven data activities and how this knowledge first trend will move to the forefront of data management over the next several years. Level of Audience |
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| 5:30 - 7:30 EXHIBITS AND RECEPTION | |||||||||||||||
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