Conference Sessions - June 13, 2018
Wednesday June 13 7:308:30 |
Registration and Continental Breakfast | ||||||||||||||||
7:45 - 8:15 CONCURRENT SESSIONS | |||||||||||||||||
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Zen with Len What Does Zen Have to do With Data Governance. The Answer is "Everything". Find Out Why Kensho Len Silverston 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. Some ask, ‘What does Zen have to do with data governance’. The answer is ‘everything’. Find out why. This will be an enlightening, wonderful session to start your day in a relaxed and receptive state of mind! Level of Audience:All Levels |
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8:30 - 9:15 CONCURRENT SESSIONS | |||||||||||||||||
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Data at the
Speed of Light: Iterative, Enabling Data Governance that Supports Agile Culture Barbara Forth, Information Technology Executive, B4th Consulting Colleen Kirtland, Director, Pacific Life The ability for a company to know what data exists, where it is and how it is used is becoming a requirement for doing business and is a daunting task for many organizations. By applying key learnings from Agile and Appreciative Inquiry to the challenges of Data Governance we can drive necessary organizational change and make data available at the speed of light.
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When Worlds Collide: Governance During a Corporate Acquisition Judith Okapal, Sr. Analyst, Boehringer Ingelheim Les Hyde, Head of Demand Management and Data Governance, Boehringer Ingelheim On January 1, 2017, Boehringer Ingelheim acquired Merial, the animal health division of Sanofi. As executive leadership focused on the logistics of bringing two global companies together as one, the US Animal Health Commercial Excellence team began to solve the problem of how to provide the local Marketing and Sales leadership with insight into the performance of two very different teams. The challenges we faced were far more complicated than simply bringing the sales figures of two companies into a single report. We had to overcome many differences and challenges to reach a point where data could come together in a way that was meaningful and trustworthy. In this session we will cover:
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Protecting Data Quality with Lossy or Uncertain Sources Tim Musgrove, CTO, Callisto Media Publishing Callisto Media Publishing is currently the fastest-growing North American book publisher, with numerous Amazon bestsellers. Unlike other publishers, Callisto works entirely on the basis of data gathering and analysis for our title selection, author selection, and even outlining (determining the table of contents of each book). Almost all of the data comes from sources outside Callisto, and none of it is consistent, showing frequent changes, with data points disappearing from time to time. We share case studies of how we've handled this challenge, in respect to the following issues:
We will give concrete, real-life examples of how data from private and public sources can change without notice, or turn off altogether, and how we handled it in different ways. This will include a few cautionary tales from our history where the mitigation was not so successful -- leading to our formulation of best practices that we have today. Level of Audience |
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Governing the Machine (hint: Machines are People Too) Kimberly Nevala, Director, Business Strategies, SAS Best Practices Artificial intelligence and all those smart things are the rage. The potential for these technologies to deliver business value and transform industries is clear. As are the challenges involved in successfully deploying these new data-intensive solutions. In this session we’ll explore the data rigor required to enable AI/ML and the IoT. Data practices that need to be emphasized, evolved or introduced to successfully govern and manage “the machine” will be highlighted. Join us to learn:
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PANEL -
Best Practices for Sustaining a Data Governance Program from Experienced Practitioners In this panel session senior data governance and data quality practitioners will discuss the challenges and obstacles they overcame in their journey in implementing data governance programs in their organization. Topics include:
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9:15 - 9:30 Room Change | |||||||||||||||||
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KEYNOTE: Winner of the Annual DGPO Data Governance Best Practice Award Kevin Shannon, Global Head of Enterprise Data Governance, Dun & Bradstreet The Annual 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 by Kevin Shannon, Global Head of Enterprise Data Governance learn why Dun & Bradstreet is the Winner of the 2018 DGPO Data Governance Best Practice Award. Topics include:
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10:15 - 11:00 Break and Exhibits Open | |||||||||||||||||
11:00 - 11:30 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS | |||||||||||||||||
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What Did Your Data do Last Night? Matt Crittenden, North American Information Governance Specialist, IBM Mark Hensley, North American Information Governance Specialist, IBM 91% of organizations are not using their data effectively. Are you? Be a part of the 9% that does. 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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How to be Successful in the Post GDPR Landscape - Building a Strategy Customers and Auditors Love Jonathan Adams, Research Director, DATUM May 25th isn’t the end of a journey, it’s really just the beginning. GDPR is one piece of the compliance puzzle. One of the most important things to remember about GDPR is that it’s not a one off compliance effort. It is a continuous process that will need to be continually evaluated and evolved over time. In order to be successful long term, a strategy must be built across all functions in the organization. Join us to learn how to build a strategy that will help you identify and link GDPR related processes, rules, standards and metrics to your organization's compliance goals and objectives to meet the new regulatory landscape. In this session, Jonathan will highlight how to develop processes and controls to build a strategy that ensure that the information being utilized is compliant, accessible, and manageable. He will conclude with a brief demo of DATUM’s Information Value Management® and share best practices and actionable takeaways to help inspire you to build a strategy both your customers and auditors will love. Level of Audience |
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Better, More Accurate Analytics . . . Get a Single View of Your Data in Just 30 Days Michael Ott, Senior Vice President, Innovative Systems, Inc. In this data-driven world, the important link between data and analytics cannot be overlooked. Most organizations' data is growing at a rate of 40% to 60% per year, and because analysts need to spend a majority of their time on data preparation, little time is left for analysis. Traditional approaches to data management for analytics often lead to wasted time and inconsistent, inaccurate data and conclusions. Often, analytics fail because of poor-quality data, and the associated consequences can be significant. However, research and trends point to a new and better approach. Attendees will learn:
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Pragmatic GDPR - Single View of Person Michael Hiskey, Columnist, Author and CMO, Semarchy Robin Peel, Senior Customer Success Consultant, Semarchy Working with clients across Europe, the Semarchy Team has learned a great deal about implementing a fast-path construct of addressing the data requirements related to GDPR. While no single piece of software, not consulting engagement is a “silver bullet,” a smart blend of people, processes and technology can solve for the well-understood use cases around portability, access, rectification and the ever-popular erasure, or “right to be forgotten.” The Data Protection Officer (DPO), like any business-line staff member, doesn’t need to be a DBA, but does need to browse, review, manage and curate all the “people data” an organization holds. This session will focus on practical experience from GDPR implementations, and explore some solutions to help DPOs, data controllers and processors address data subject access requests and associated compliance requirements.Lasting change is possible, and affords a myriad of unintended benefits from increased intimacy with the people data in your organisation. Attendees will learn:
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11:30 - 11:45 Room Change | |||||||||||||||||
11:45 - 12:30 CONCURRENT SESSIONS | |||||||||||||||||
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Data Governance: From Chaos to Harmony Shawn Houston, VP of Global Data Governance, JLL Introducing a formal enterprise data governance team into a company can be challenging. Even more so when the company has many siloed lines of business with separate business and IT teams. But it can be done. In this presentation we will follow how the Data Governance team at JLL has been able to achieve success in this area. Four years ago they were a brand new team with a challenge of introducing Enterprise Data Governance to aid in the development of a new consolidated Commercial Real Estate offering titled RED. This was a product that would integrate the applications of all the lines of business. Challenges included:
The Data Governance team has been able to address all of these challenging issues to varying degrees. In this presentation we will share what has worked and what did not. A key takeaway from this presentation will be that people skills are very important in bringing an organization along in a new data governance initiative. In a culture not used to having integrated data governance processes and functions convincing people that Data Governance is important for them to put resources into can be particularly challenging. It was not until we were able to bring teams together to see that they had to work together that we were able to gain traction with our data governance initiatives. I will show how we addressed that particular challenge, missteps and ultimately success. Level of Audience |
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Embedding Privacy
and Data Protection Principles/Controls into Existing Development Life Cycles Mike Tibodeau, Data Protection Operations Manager, Cisco Lisa Bobbitt, Privacy Architect, Cisco Current regulations are mandating data protection and privacy requirements, but do not necessarily outline specific steps. Privacy Engineering, as outlined in The Privacy Engineer’s Manifesto, provides specific steps for Privacy by Design (PbD) as an overlay to a development lifecycle that focuses on awareness, governance, and engineering. This is a partial case study on one way to insert controls and principles into existing secure development life cycles and how to ensure that data protection is implemented from the beginning so that it can sustain itself within the data life cycle. Topics include:
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Data Quality
at Western Digital: Thinking Long Term, While Starting Small Christopher Paskins, Sr. Mgr. Enterprise Data Quality, Western Digital Most data quality programs start with a small scope and limited resources. When there is success, then it seems everyone is knocking down your door for help with their data. This case study will look at how at Western Digital we successfully started with a small tactical team that provided value to business while developing the long term outlook and direction of the program. The case study will detail our approach to the data quality program looking at these specific points:
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SCL Health's
Data Governance Journey Angela Maes, Director of HIM Systems and Data Analytics, SCL Health Kimberly Bemiss, Manager of HIM Data Analytics, SCL Health A small group of individuals in the organization began a grassroots effort to show the need and value for an enterprise data governance program. We were able to provide a business case to justify implementing a structure and purchase a data governance software tool. In a 12 month period we were able to stand up the framework and begin creating a business glossary. We are still in the early phases of a DG program and would like to share our story how we started a program that is now viewed as a priority by our CEO. This presentation will tell the story of SCL Health, an 8 hospital, 200+ clinic, and integrated health system and how they implemented data governance in the last 12-15 month time-period. After identifying inconsistent data usage, lack of accountability and quality concerns, a small workgroup formed to address these issues. Members of the workgroup joined the DGPO, attended a data stewardship bootcamp at DGIQ in 2017. This education laid the foundation for setting up a data governance structure. We will describe operational and technical work to create an emerging data governance program: Topics include:
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Operational
Data Monitoring & Metrics - A Practical Approach Stephanie Grimes, Shared Info Support Manager, Freddie Mac Matthew Dean, Shared Info Support, Senior, Freddie Mac Van Lin, Shared Info Support Director, Freddie Mac The applications and data stores are built, consumers are coming to you for their data needs, now what? How do you ensure you’re meeting your downstream consumers’ needs from a time, quality, regulatory, and compliance perspective? This session will give you practical solutions on how to set up a robust monitoring and reporting framework for your data assets. You will learn to:
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12:30 - 1:45 LUNCH | |||||||||||||||||
1:45- 2:30 CONCURRENT SESSIONS | |||||||||||||||||
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Powering Information through MDM Fred Krimmelbein, Enterprise Data Architect, Discovery, Inc. So often, we talk about the "How you get started" without understanding what most companies fail at, which is Governance. In our practice we have taken Governance out of the day to day conversation and begun the practice of Mastering Data that matters to the business. This presentation will talk about how we got started through where we stand today using mastered Talent data as a keystone for understanding our business. Creating a portable Governance program and understanding how Talent is a part of everything we do, from contract negotiations to advertisement and content creation understanding our talent serves the whole business. We have moved to enabling appropriate use of the necessary data. This discussion will cover:
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Poor Data Quality is just a Symptom – Leading an Organizational Transformation
Case Study Donald Jenkins, GM/VP Global Utility Bill Management, EnerNOC Andrew Rosenbush, Senior Business Systems Analyst, EnerNoc Elizabeth Lewis Kucko, Principal Analyst, EnerNoc How do you properly integrate an acquisition into a company when you have competing cultures, organizational misalignment, misplaced expectations, and oodles of data quality issues? In this session join a team from EnerNOC as they discuss the transformation of a global acquisition that was struggling to meet service delivery commitments more than a year after becoming part of the company. You will hear how we applied a framework that focused on business culture, organizational alignment, effective processes, and tools – in that order. Attendees will not only hear the high level strategy and execution from the executive who owned the transformation, but also from the key team members who brought a data-driven focus to identifying the key data quality challenges and provided the analytics and tools to provide visibility that fed the tremendous change over an 18 month period. Attendees should walk away with an understanding of a simple business change framework that can and can be applied to take on their own company challenges. Level of Audience |
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Automating
Information Governance: Leading Practices and Realities Allen Lazzara, Sr. Information Governance Consultant, Aflac Tera Ladner, Director of Information Governance, Aflac Information Governance (IG) ensures the integrity, accuracy, authenticity, and availability of information. Implementing a successful IG program requires organizational alignment, comprehensive information analysis, and well-defined information architecture. We present our experiences gained from the development of IG platforms for two Fortune 500 companies. Both consisted of strategic enterprise content management systems migrated to the cloud coupled with end-to-end information life cycle management capabilities. The necessary organizational positioning and our learnings in strategic alignment are briefly discussed, but the focus is on the information components for IG:
Our lessons-learned will help those planning to implement enterprise governance by describing leading practices and identifying the challenges that must be overcome. Level of Audience |
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Well to Fountain: Harnessing Governance and Quality Melanie Mecca, Director of Data Management Products and Services, CMMI Lisa Williams, Manager, Office of Data Management, Arizona Department of Water Resources The Arizona Department of Water Resources (ADWR) is the steward of Arizona's water future; providing accurate data to other agencies and the public is a key responsibility. Until recently there was no organizational imperative to manage data assets at the enterprise level. In June 2017, CMMI Institute conducted a data management capabilities evaluation based on the Data Management Maturity Model. ADWR’s overall score was 1.50, illustrating the need for new business processes addressing data assets. For a quick launch, a key recommendation was to establish data management practices around the Pilot Data Warehouse initiative. The new Data Management Organization introduced processes to enhance this effort:
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How Organization are Using Data Catalogs to Lift their Data out
of the Fog Alex Gorelik, Founder and CEO, Waterline Data Most enterprise data is obscured. And just like finding something in the fog, you can only see it when you are near it. But proximity only works for small amounts of data. As the variety, volume and velocity continues to grow, organizations have turned to data catalogs to make sense of it all. In this session you will learn:
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Operationalizing Data Governance at Scripps Health One Domain at a Time Jimm Johnson, Data Governance Program Manager, Scripps Health There are many ways to operationalize data governance, so where do you start? At Scripps, we use an asset management model and launched the first phase of our data governance (DG) program in tandem with the implementation of our new electronic health record & revenue cycle platform, focusing on building inventories of our governed data assets, assigning ownership roles & responsibilities to those assets, and establishing a DG Council & associated work groups to oversee the DG program. In the second phase of our program, we are activating DG processes, roles & responsibilities by applying them to operations one data domain at a time. In this session, we’ll share:
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2:30 - 2:45 Room Change | |||||||||||||||||
2:45 - 3:30 CONCURRENT SESSIONS | |||||||||||||||||
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Data Governance Development: There’s a Tool for That! T'Pring Westbrook, Senior Research Associate, The Annie E. Casey Foundation Allison Meisch, Senior Research Associate, James Bell Associates William Lash, President, Chirality Capital Consulting In human service non-profits, it is accepted that data-driven decision-making is critical to the success of programs. However, programs often lack the technical sophistication and financial resources to design and maintain complex data systems. The lack of expertise often results in insufficient or non-existent data governance plans. We present the Data Governance Development (DGD) Tool Kit: an innovative resource for organizations lacking internal technical expertise or resources to access external experts necessary to develop data governance plans. Existing tools use technical language and focus on enterprise data, making them challenging for many non-profits. DGD Tool Kit is the culmination of a partnership across tech, social scientists, and non-profits to bring best practices to the non-technical end-user. During this session, we will describe the state of non-profit organizations’ resources for case management and evaluation data and share the results of multiple needs assessments, present the DGD Tool Kit’s key components and use cases, and share plans for future development based on user feedback and initial testing. Attendees will learn:
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Data Governance Quick Start Combining an Initial
Assessment with Implementation Nancy Couture, Senior Director, Delivery Enablement, Datasource Consulting Data governance programs typically begin with a current state assessment delivering tactical next steps and a strategic roadmap to improve Data Governance maturity over the course of time. However, after the assessment, many companies struggle with the actual implementation. By taking a few early steps in preparation for the assessment, you can kick start the Data Governance implementation concurrently, and end up with a functioning program as well as a strategic roadmap for continued improvements. This presentation will expand on these initial steps and provide a case study that describes this process in a mid-sized financial institution. Level of Audience |
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Building an Effective Master Data Index David Loshin, President, Knowledge Integrity One of the key components of a master data management (MDM) implementation is the creation of a searchable master data index. The goal of the master index is to provide a means for requesting information about an entity (such as a customer or a product) and retrieving the linked records that most closely match the provided search criteria. Yet there are numerous challenges in building the index - synchronizing the index with the source data, providing rapid access to a composite view of the master entities, and enabling real-time identity resolution. In this session we discuss the pros and cons of different approaches to building a master index and suggestions for master index design. Attendees will learn about:
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Business Relevance: the Key to a Successful Data Strategy Dana Grisham, Solution Architect, Sandia National Laboratories In many companies, "fixing data problems" is a target-rich environment. In fact, it was one of our key selling points in implementing a data governance function: almost every business challenge can be linked directly to a challenge the company has with its data! This reality can make it difficult to focus your efforts when first getting started. It can also mean that you'll spend years fixing minutiae without ever being seen as relevant to what the business really needs. This session will review my team’s journey towards strategic relevance to the business. Topics to be covered include:
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A Master Patient Index Journey: How Far One Organization Has Come to Embrace Patient Safety and Quality Tommie L Lawrence, Manager, Sharp Healthcare In advance of a new clinical application implementation, a data cleanup project was born. The expectation was to perform a massive cleanup of the Master Patient Index, then implement the system, then complete the project, all in 6 months. Instead, the organization recognized that patient safety and data quality was an enormous and necessary area to put the focus on and allocate resources to. Seventeen years later, this department is a key component of the patient experience.
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Data Governance Opportunities Abound - How to Begin, Implement and Plan What's Next Ron Davis, Director - Information Practice, Governance, Prolifics Most organizations have numerous Data Governance (DG) opportunities available to them right at their fingertips but having to choose which opportunity provides the quickest and best return, while ensuring DG efforts garner the support needed to continue to the next DG opportunity, can be a difficult and daunting task. In this session, we will discuss a step-wise approach for identifying and implementing a high-value, quick-win DG solution, that serves as a building block for establishing a DG foundation to enable your organization’s cultural evolution toward becoming a data-centric organization. Level of Audience |
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3:30- 3:45 Coffee Break | |||||||||||||||||
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KEYNOTE PANEL: Emerging and Future Trends in Data Governance Moderator: Anthony Algmin, Independent Consultant Panelists: Anne Buff, VP Communications, DGPO Sunil Soares, Founder and Managing Partner, Information Asset Ho Chun Ho, Global Head, Data Governance and Management, JLL Rex Ahlstrom, Chief Strategy Officer, BackOffice Associates As Data Governance and Data Quality professionals we know that even though we have implemented our data governance programs our job is far from over. In this keynote panel of experts hear their perspective on emerging and future trends and what you need to consider for your data governance program. Topics include:
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