Conference Sessions and Afternoon Workshops
December 5, 2018
Wednesday December 5 7:303:30 |
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Wednesday December 5 7:008:00 |
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7:20 - 7:50 CONCURRENT SESSIONS | |||||||||||||||||
Wednesday |
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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8:00 - 8:45 CONCURRENT SESSIONS | |||||||||||||||||
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From 0 to 90: Implementing a Data Quality
Framework to Accelerate Measuring Data Quality Mark Blanchette, SVP, Director Business Technology and Data Management, Seacoast Bank In this case study follow Seacoast’s success story as the Data Governance and Data Quality program was quickly stood up so that the Bank could begin to measure and monitor data quality. During the Bank’s 90+ year’s history, the organization did not have a formal data governance program. With numerous bank acquisitions over the last several years the time was right to gain the benefits that Data Governance and Data Quality would bring to the organization. With an emphasis on speed to delivery and to implement a scalable and comprehensive solution, the bank developed a Data Quality Framework that laid the foundation for measuring and monitoring data quality. With the framework in hand, the team rolled out a series of deliverables that increased not only the visibility of data quality issues, but helped to ensure a high level quality of data for use in the banks very successful data analytics programs. Along the way, the bank leveraged its innovative use of data virtualization to help logically centralize sources of data. Participants of this case study session will:
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Beyond GDPR: Data Due Diligence
is the Next Requirement William Tanenbaum, Lawyer, Polsinelli PC Law Firm GDRP is here and data due diligence is the next mixed business and legal issue that needs to be addressed. Due diligence is what business and their lawyers will require before entering into contracts and arrangements to share, monetize or use data in corporate transactions or research projects -- without embarrassment or undue rounds of data improvement. The purpose of data analytics is generating proprietary business insights for internal strategic planning and achieving external competitive advantage. Data analytics is required to achieve this result. Preparing for data diligence makes the data organization part of the journey to internal value and the company's use of data for revenue generation. As data changes business, legal and data professionals must work together to succeed.
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How Data Governance Accelerated Operational
Excellence at Lee Health Systems Brian Veara, Program Director, Catalysis Marcelo Zottolo, VP Analytics, Lee Health As the Program Director for a peer to peer healthcare learning network, I’ve had the opportunity to hear about data governance experiences from participants across the US and Canada. In this session your will learn how participants have re-started their data governance program for greater impact and how Lee Health Systems –a 5 hospital healthcare system has developed their data governance program to accelerate their improvements clinical and operational excellence. Session takeaways:
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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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8:45 - 9:15 COFFEE BREAK AND EXHIBITS OPEN | |||||||||||||||||
9:15 - 10:00 CONCURRENT SESSIONS | |||||||||||||||||
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The Human Side of
Data Governance Success Jeraldyn Rivest, Director, Data Quality and Customer Data Strategy, US Bank Jennifer Schmaedeke, Director of Data Governance Policy Implementation, US Bank You read the books and listened to the experts. Your team has written airtight data governance policy and implemented an amazing toolset to go along with it. You have completed demos, road shows, and everyone agrees that you have done a great job. So why is the adoption of data governance struggling so badly in your organization? Why are you having to pull teeth to get participation? Even a small number of people can be the difference between a successful data governance effort and a failure. This session will help you identify champions and obstacles as well as give you strategies to lay the groundwork for success. In this session we will discuss how to address the human side of a data governance initiative by:
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How Amica Mutual Insurance Built a Business Glossary Donald LeMay, Data Governance Analyst, Amica Mutual Insurance Is your business glossary captured in a spreadsheet? Do you find it tedious to manage and easy to get out of synch? At Amica, we realized that a strong Business Glossary is the cornerstone of a successful Data Governance program, and that continuing to track business term definitions and metadata in a spreadsheet was not practical. Employees need to share a common business language in order to have
consistency, and access to metadata is invaluable when reporting and analyzing
data. When a Business Glossary also shows the system of record and a business
term's full data lineage, it is invaluable to the entire Enterprise, Business
and IT alike. Utilizing a team of Data Stewards with cross divisional
representation, achieving this can be done in your organization, providing
value and entrenching your Data Governance program. Level of Audience: |
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The Governance Paycheck - Early Rewards David McLean, Manager, Enterprise Data Management and Governance, Paychex, Inc. Melanie Mecca, Director, Data Management Products and Services, CMMI Institute Paychex is a recognized leader in the payroll and human resources industry, serving approximately 605,000 businesses nationwide, strongly committed to its clients since its founding in 1971. Aligning with business strategy goals, to: create an accurate 360-degree view of its clients; reduce time to insight for analytics; and enable data valuation for monetization, Paychex conducted an assessment of data management practices against the Data Management Maturity Model. The resulting recommendations led to establishment of a Data Management Organization, standing up data governance, and leveraging the Client MDM project to implement core data management processes. Through governance, Paychex has enhanced data awareness among business lines and is implementing practices needed for transformational data integration. You will learn:
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Winning the Battle for Data Governance at the Department of Interior Office of Natural Resources Revenue John Hovanec, Program Manager & Data Governance Officer, Office of Natural Resources Revenue Ryan Jordan, Chief Data Steward, Office of Natural Resources Revenue Leading the Data Revolution - First-hand account of how the Department of Interior Office of Natural Resources Revenue (ONRR) established a data governance program. Like many other organizations, ONRR has difficulty managing data as a strategic asset. A lot of personnel, effort, and money are spent on enhancing and maintaining our systems, but there was no group whose sole focus was on the data. The result was lack of business input, limited data understanding, conflicting actions between business groups, and numerous workarounds. Two years ago project teams kicked off to set forth a new data strategy. The result: establishing data governance led by the business and working with IT. We will discuss many key activities that led to adoption of data governance from the ground-level employees to senior executives.
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10:00 - 10:10 ROOM CHANGE | |||||||||||||||||
10:10 - 10:40 DATA GOVERNANCE SOLUTIONS | |||||||||||||||||
Wednesday |
Metadata Governance: Empowering BI with Automation & Analysis Amnon Drori, CEO and Co-Founder, Octopai With growing amounts of data and data sources, organizations today are making data governance a priority. However, what many companies have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process. As the ‘data about data,’ metadata provides the value and purpose of the data content, thereby becoming an extremely effective tool for quickly locating information – a must for BI groups dealing with analytics and business user reporting.
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10:10 - 10:40 DATA GOVERNANCE SOLUTIONS | |||||||||||||||||
Wednesday |
Data Governance Adoption: the Foundation to Innovation Ron Davis, Director, Information Governance Practice, Prolifics DATA is the DNA of thoughts, ideas, knowledge, and actions. Competitive advantage is based on how well that data is leveraged. So many customers purchase and install powerful tools, but have no practical experience with how to actually implement and adopt them within their organization and processes in order to attain the business value that was used as justification to purchase the tools. For several of our customers, better data was needed to drive better customer experience, and business decisions directly impacting their customers. When these decisions are based on incorrect data, whether internal or customer based, the outcome of that decision is one of chance. Gaining insight required to better engage the customer for valuable direction and insight is impossible. They wanted to remove the barriers inhibiting effective exchange and use of information by implementing a data platform and architecture that decouples data, process and technology in order to leverage their data assets in the most effective manners possible. In this session, we will discuss how we helped provide a solution using the stepping stone approach they needed to not just improve Data Quality, but begin the journey to true competitive advantage by leveraging the data they have. In doing so, building a foundation to enable the cultural evolution required to become a data-centric organization that’s equipped to unleash the power of their people, processes, technology, and data assets. Level of Audience: |
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10:40 - 10:50 ROOM CHANGE | |||||||||||||||||
10:50 - 11:35 CONCURRENT SESSIONS | |||||||||||||||||
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Making Your Data Strategy a Reality Bobbi Caggianelli, Director Six Sigma, Security Benefit Data Strategy is a concept that is still foreign to many companies today. Follow our journey from research, to strategy, to tactical implementation of an enterprise-wide data strategy. Discover what Security Benefit, a Topeka Kansas based Life and Annuity Provider, has accomplished in one year. And learn how you too can get started in implementing data strategy in your organization. Topics will include:
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Data Governance - Making it Real Theresa Peachey, Information Standards, Governance, and Quality Manager, American Family Insurance Follow the journey of Data Governance at American Family Insurance, focusing on people and process. Learn how the foundational components of the Data Governance program proved valuable in reducing the sensitive data footprint. Many organizations attempt a data governance program, unfortunately failing along the way one or many times. Learn how American Family initiated the program, overcame challenges and continues to mature with the changing environment. Key topics include:
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Wednesday
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Governance by Blockchain: Using Blockchain's Smart Contract Features to Enable Better Sharing of Restricted Data Kathy Rondon, VP Talent Management, The Reports & Requirements Co. Sean Spann, CTO, Buchanan & Edwards Bitcoin value may be going through the roof—and congratulations if you’ve been a beneficiary--but blockchain technology’s Smart Contract features offer a different kind of value in the data governance arena: enabling better and more consistent data sharing through immutable and distributed data sharing agreements. One of the hurdles in consistent sharing of data across organizational boundaries is the lack of transparency, visibility, and—yes—trust in the agreements made between parties who seek to share data assets. Blockchain technology may be able to help. In this presentation, you will learn:
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11:35 - 11:45 ROOM CHANGE | |||||||||||||||||
11:45 - 12:30 | |||||||||||||||||
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Tips from the Trenches Best Practices for Starting and Sustaining a Data Governance Program from Successful Practitioners Moderator: Len Silverston, President, Universal Data Models Panelists: Yolanda Eyre, EDM Lead, CAS - division of the American Chemical Society Jimm Johnson, Data Governance Program Lead, Scripps Health Janice McKaughan, Sr. Manager Marketing Operations and Data Services, Focus on the Family Michael Randall, Director, Finance Data Governance, Nationwide In this keynote panel session successful data governance practitioners from diverse industries will discuss the challenges and obstacles they overcame in their data governance journeys. Topics include:
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12:30 - 1:30 LUNCH AND EXHIBITS | |||||||||||||||||
1:30 - 4:45 AFTERNOON WORKSHOPS | |||||||||||||||||
Wednesday |
W1 - Operationalizing Data Governance and Data Quality David Loshin, President, Knowledge Integrity Information collaboration and data sharing are on the rise, especially as organizations migrate their data to sharable cloud-based data lakes and interoperate with different systems via data services. At the same time, a growing community of “citizen data scientists” have an expanded appetite for consuming and analyzing data on their own terms. Yet as data volumes grow and individual data reuse increases, there are growing
risks of misinterpretation, inconsistency, noncompliance with enterprise
standards, as well as exposure of sensitive information beyond the bounds of
the enterprise. Consequently, the need to govern and ensure the quality of data
has never been greater. At the same time, we need to raise awareness of the
value and criticality of information as an emerging asset within the
enterprise. In this tutorial, we provide a framework for linking the
specification and deployment of information policies, the pragmatic aspects of
functional data quality validation and management, and the means for
instituting data awareness across the technical and non-technical members of
your organization as the basis for productionalizing data governance.
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W2 - 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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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 - Seeking
the Truth: Metadata Foundations for Data Governance Excellence Anthony Algmin, Principal, Algmin Consulting Before we set our direction with Data Governance, we need to understand the complexity that surrounds us. Metadata is the key, and this tutorial will show you why. Organizations often make the mistake of jumping into
decision-making without a clear understanding of where they are. This is like
asking a GPS system to provide turn-by-turn driving instructions to your
destination — WITHOUT knowing where you are starting!
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