Tutorials and Afternoon Conference Sessions
December 2, 2019
| Monday December 2 7:00–6:00 |
Registration | ||||
| Monday December 2 7:00–8:30 |
Continental Breakfast | ||||
| Monday December 2 7:45–8:15 |
Making the Most of Your Data Governance Conference Experience Zen with Len Kensho Len Silverston This will be an enlightening, wonderful session to start the first day of the conference in a relaxed and receptive state of mind! Some ask, ‘What does Zen have to do with data governance’. The answer is ‘everything’. Find out why. Meditation, Qigong (moving meditation), and Talking Meditation (The what, why and how of meditation). Prepare yourself and your mind for the day so you can make the most of it! Come invigorate yourself, reduce stress, develop your mind, and learn about and practice meditation. Len Silverston, who is not only a data management, data governance, and data modeling thought leader, but is also a fully ordained Zen priest and spiritual teacher, will provide this brief overview of what meditation is, why it is important, how to meditate, and lead a sitting meditation and moving meditation (Qigong) session. Level of Audience: |
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| 8:30 - 11:30 MORNING TUTORIALS | |||||
Monday |
AM1 - Getting Started with Data Governance and
Data Stewardship Malcolm Chisholm, President, Data Millenium Many enterprises now realize that data must be managed well, and from this it is a short step to acknowledging the need for Data Governance. But there is a wide gulf between this acknowledgement and having a minimally viable Data Governance program – meaning one that is self-sustaining. In this tutorial we describe the steps needed to begin a Data Governance program, with particular emphasis on establishing Data Stewardship throughout the enterprise. The organizational units needed for Data Governance and their interrelationships are examined. The creation of a Data Stewardship network across the enterprise, and the various roles of data stewards are discussed. How to interact with executive management, particularly in terms of upward reporting, is also covered. The need for a roadmap that adequately meets the needs of the Data Governance program for the first 2 years is described. Attendees will learn:
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Monday |
AM2 -An Effective Approach to a Universal
Business Glossary Len Silverston, President, Universal Data Models Having a clear, consistent, and enterprise wide accepted business glossary can have a huge effect to improve productivity, facilitate more effective communications, decrease costs of systems development and maintenance, increase data quality, and enhance systems integration. Yet, so many organizations struggle to develop a commonly accepted vocabulary of business terms. This workshop provides a comprehensive, proven, and effective approach to developing a ‘Universal’ business glossary, meaning that it is shared, accepted and used across the enterprise. The workshop will share a methodology, approaches, tools, techniques, and case studies of organizations that successfully developed a common business glossary. In this information, fun, and interactive workshop, you will learn:
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Monday |
AM3 - CCPA and Beyond: Data Governance Policies, Procedures, and Tools for Data Protection and Observing Data Privacy Laws David Loshin, President, Knowledge Integrity, Inc The California Consumer Privacy Act (CCPA) which goes into effect on January 1, 2020, is one of the first, but certainly not the last US state law to be enacted to protect individuals’ personal data. The wide scope of consumer rights provided by the CCPA invoke comparisons to the European Union’s General Data Protection Regulation (GDPR) in terms of rights granted to individuals, penalties for unauthorized exposure, and the right to be deleted from the organization’s data environment as well as some subtle, and not-so-subtle differences. With the risk of steep penalties for unauthorized exposure, compliance is imperative. Interpreting government regulations, assessing information risk, and identifying data management requirements are increasingly critical for both regulatory compliance as well as establishing consumer trust in your organization’s mandate for managing sensitive data. And with over 80 different global sets of privacy laws, it is increasingly clear that regulatory compliance is tightly coupled with information and data governance. In this technology, attendees will learn about general aspects of data sensitivity, regulatory compliance, and recommendations for data governance policies, procedures, and technologies to support a corporate data protection strategy. Attendees will learn about:
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Monday |
AM4 - Gaining
& Sustaining Senior Leadership Buy-In Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com Two aspects of Senior Leadership buy-in for Data Governance must be addressed. The first is “getting it”. The second is “keeping it”. Without Senior Leadership’s support, sponsorship and understanding of Data Governance, the program is at immediate risk of failure or lack of recognized value. So the questions become … how do I get it and how do I keep it? Join Bob Seiner for this tutorial to learn the secrets of gaining Senior Leadership’s buy-in. The information that will be shared is for organizations that are just getting started and organizations that have made a significant investment in the Data Governance discipline. Come to this session prepared to share and take-away tips and techniques that will set your Data Governance program on solid ground. In this session, Bob will discuss:
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Monday |
AM5 - The Practitioner's Data Governance Balancing Act: Balancing Competing Priorities and Succeeding in Data Governance Anne Buff, Director, Data Governance, Envolve Health Building and managing a successful data governance program is no easy feat. If you were given a blank slate and had all the time and resources you needed, you could likely build the data governance program of your dreams. But, it doesn’t work that way. Data governance is rarely built from scratch and it isn’t built in a vacuum. Heck, you are lucky to even get a few moments of peace to think strategically. There are pockets of data quality, areas of strong and weak data management, and maybe even some previous attempts at governance. Home-grown businesses processes abound and there are plenty of “data priorities” to go around and every one of them is the most important, right? So with all the competing needs and challenges how do you prioritize, balance, and make data governance happen successfully? In this workshop, you will work with a data governance practitioner and industry leader to learn ways to build and manage your data governance program while sifting through noise and handling everything else that is thrown at you on a daily basis. You will learn tips and tricks to establish governance in small, iterative steps towards building the strong, enduring program you always wanted it to be. You will learn how to:
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| 12:45 - 3:45 AFTERNOON TUTORIALS | |||||
Monday |
PM1 - Defining
Data Policies David Loshin, President, Knowledge Integrity Conventional approaches to data governance that focus on operating models and org charts are necessary but insufficient, and it is no surprise that these approaches fail to deliver on expectations. In the modern data-driven organization, data governance goes beyond the formulation of a council and initiating a metadata scan. Strategic data governance combines the definition of data policies with methods for enforcement and descriptions of the roles and responsibilities for ensuring compliance and alignment with business objectives. This tutorial explores ways to link data policies to the organization’s business goals as a way of minimizing the risks of diminished effectiveness or even outright failure. By examining the different types of data policies that must be managed as part of a data governance activity, we provide a framework for connecting data management to business needs. We then discuss ways of distilling business policies from business objectives, identifying data dependencies, defining business-relevant data policies, methods of data policy compliance, and ways that tools support data policy enforcement. Attendees will learn about:
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Monday |
PM2 - Best Practices in Data Catalog
Implementation Sunil Soares, Founder & Managing Partner, Information Asset Data Catalogs are all the rage these days and are emerging as a separate category within Enterprise Data Management. In this session, Sunil will discuss best practices to implement a data catalog. The session will cover the following topics:
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Monday |
PM3 - The Real Work: How to Operationalize Data Governance Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com Data Governance requires a well thought out approach and plan to develop and deliver the key components of a successful program. However, the true value of the program does not become obvious until the real work takes place. What’s the real work? The real work in this case is the operationalization and engagement of the organization focused on achieving your program’s goals. In this half-day session, Bob Seiner will detail steps you can follow to take your Data Governance program from definition to delivery to deployment. It’s time to take the next steps with your program and this presentation and discussion will focus on how to do just that. In this session, Bob will discuss:
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PM4 - Data Governance 3.0 - Agile Data Governance:
What Data Professionals Need to Know Malcolm Chisholm, President, Data Millenium Data Governance emerged around 2005 and has since undergone two main phases: an initial ad hoc response; and subsequently a more focused top-down approach. This tutorial examines a new generation of Data Governance which is now emerging – Data Governance 3.0, or Agile Data Governance. This new generation is heavily influenced by the need to support data users across that enterprise, which has been driven by the increasing availability of end-user data management tools, such as those supporting self service analytics. Known as “data democratization”, this movement has placed much greater demand on Data Governance units to provide information about physical data assets. At the same time, the realization that production data landscapes of most enterprises cannot be understood by top-down efforts has spurred an investment in tools that use automated means (e.g. Artificial Intelligence and Machine Learning) to gather and make sense of the needed metadata. In addition, there is much greater emphasis on individuals contributing to this knowledge base, and crowdsourcing is an important feature of Data Governance 3.0. This tutorial provides a comprehensive description of the new generation of Data Governance, describes how existing Data Governance Units can move towards it, and explains how tools are now essential. Attendees will learn:
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Monday |
PM5 - Designing Data Governance & Metadata into Your Data Strategy Donna Burbank, Managing Director, Global Data Strategy, Ltd In today’s data-driven enterprise, building data governance and metadata management into your data strategy can seem more complex than ever. Not only is innovation in technology occurring a more rapid pace than ever before creating more diverse metadata, but as more business stakeholders become involved with data-centric initiatives, “people-centric” initiatives such as data governance increase in importance as well. This workshop demystifies data governance and metadata and provides practical steps in creating a robust data strategy that encompasses people, process, and technology to provide concrete and demonstrable business value. Topics include:
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| 4:00 - 4:45 AFTERNOON CONFERENCE SESSIONS | |||||
Monday |
The Building of the Data Governance Program at BlueCross BlueShield of Alabama Kristin Cacace, Data Governance Manager, BlueCross BlueShield of Alabama Eric Falthzik, Principal Consultant, Clarity Insights BlueCross BlueShield of Alabama embarked on an introspective process to find solutions for gaps that were existing within their data infrastructure and information management program. To close those gaps, the organization embarked on an aggressive program to build an enterprise Data Governance program from the ground up. From a beginning with one dedicated employee to a thriving program that engages over 45 Data Stewards to govern four data domains and over 300 critical data elements, this is the story of how the effort was built and how others can learn from this experience. In this session, the participants will learn the following:
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Data Quality Frankenstein - How We Identified It and Are Solving It Anil Kumar Kunden, Information Standards, Governance and Quality Specialist, American Family Insurance Data Quality, a loaded term that has so many definitions. At American Family Insurance our goal is to: “Create full confidence in our data to all users”. Similar to many organizations, we too started with measuring and monitoring Critical Data Elements (CDE) but soon fell short and realized it wasn’t enough in addressing our business needs. Come learn how American Family Insurance did course correction, overcame challenges and continues to mature within a rapidly changing environment. Key learnings:
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Sensitive Data Management: The Convergence of Enterprise Data Management, Privacy, Cybersecurity and Technology Sunil Soares, Founder & Managing Partner, Information Asset Sensitive Data Management is an emerging discipline that reflects the convergence of Enterprise Data Management, Privacy, Cybersecurity and Technology. In this session, Sunil Soares will cover the following topics:
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Addressing the Challenges of Data Governance in Financial Services Kevin Schofield, President, ADRM Software, Inc. As those who work in the Financial Services industry know, factors ranging from digital transformation, to new entrants into the industry, to a myriad of new high velocity data sources, are all exerting pressures to accelerate change and more fully capitalize on existing and new data assets for competitive advantage. A robust data governance program, appropriately funded, supported by senior management, and with active engagement from key stakeholders is critical if large financial organizations are to successfully keep up with and capitalize upon the data tsunami that faces us today in the Financial Services industry. This Financial Services industry special interest session will kick off with a brief presentation to highlight some of the most common "hot topics" impacting Data Governance programs in Financial Services, before opening up to group discussion for the remainder of the session to enable participants to share some of their challenges and successes and network with other attendees with a Financial Services focus. Level of Audience: |
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KEYNOTE: Winner of the 2019 DGPO Data Governance Best Practice Award Nationwide Insurance's Data Governance Journey Scott Peachey, Director, Enterprise Data Governance & Quality Assurance, Nationwide Insurance Cynthia Parsons, Consultant, Enterprise Data Governance & Quality Assurance, Nationwide Insurance The DGPO Data Governance Best Practice Award is given to the practitioners within an organization in recognition of the business value and technical excellence they have achieved in the design and implementation of an outstanding data governance program. In this keynote presentation
learn why Nationwide Insurance is the Winner of the 2019 DGPO Data Governance
Best Practice Award. Session topics include:
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Monday
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IBM Reception - Open to All |
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