Tutorials and Afternoon Conference Sessions
December 3, 2018
| Monday December 3 7:00–6:00 |
Registration | ||||
| Monday December 3 7:00–8:30 |
Continental Breakfast | ||||
| 8:30 - 12:00 MORNING TUTORIALS | |||||
Monday |
AM1 - How
to Get Started with Data Governance Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com Organizations that are just beginning to implement Data Governance programs often have a difficult time getting started. There are several reasons for this and several key components that must be addressed appropriately to assure a smooth start and program longevity. The truth is that getting started does not have to be as difficult as one would think. In this tutorial with Bob Seiner, he will address the reasons why organizations have a difficult time getting started and share techniques and templates that have demonstrated success at many organizations. In this session, Bob will discuss how to:
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Monday |
AM2 - Sustainable
Data Governance isn’t about Data or Governance – It’s about People Kelle O’Neal, Founder and CEO, First San Francisco Partners Having trouble making your data governance processes stick? Are you getting pushback, even though everyone agrees governance is the right thing to do? How many times have you gone through this process? Successful data governance means changes to your information management culture. Changing that culture means that you are asking people to think and behave differently about how data is created, accessed and used. If the results are to be sustainable, successful data governance change requires an organized and systematic way to manage those changes. In this tutorial, we will discuss the most significant obstacles to governance, and the critical success factors to working through those obstacles to achieve business benefit. Using real-world examples from financial services institutions, we'll review:
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Monday |
AM3 - Using a Data Catalog to Improve Data Governance and Data Management Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners Data Catalogs are rapidly emerging as a class to tool that provide a platform to support enterprise Data Governance and Data Management. This tutorial describes what Data Catalogs are, and how they are changing Data Governance in a profound way. Indeed, a new generation of Data Governance – Agile Data Governance – is being enabled through Data Catalogs. The core capabilities of Data Catalogs are examined in detail, with emphasis on the how Data Governance and Data Management roles interact with them. Some specific solutions of Data Governance use cases via a Data Catalog are provided, including Data Acquisition, Data Lineage, Data Quality, and Critical Data Elements. The increasing technical aspects of Data Governance that are enabled via Data Catalogs are discussed, along wit how to align these to people and processes, and integrate strategies developed under more traditional forms of Data Governance. Attendees will learn:
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Monday |
AM4 - Leveraging a Strong Communications Plan and Business Value Metrics to Regain Executive Sponsorship Michele Koch, Director, Enterprise Data Intelligence, Navient Barbara Deemer, Managing Director, Chief Business Data Steward, Navient Michele Koch, Data Governance Program Director and Barbara Deemer, Managing Director and Chief Business Data Steward from Navient will review the foundational pieces of a solid Data Governance (DG) Communication Plan and the steps to developing DG business value metrics. Michele and Barb leveraged their work in these areas to re-institute their award-winning Data Governance/Data Quality Program (DG/DQ) after three corporate reorganizations over the last 10 years. This case study will review various lessons learned from having an established DG/DQ Program and how those can be utilized to address changes in business organization and structure. Items to be discussed:
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| 1:00 - 4:15 AFTERNOON TUTORIALS | |||||
Monday |
PM1 - A Roadmap for Building a Successful Data Quality Program:
How to Get Started, and How to Assess and Improve What You Have John Talburt, Professor, University of Arkansas at Little Rock Every organization will say they want high-quality data, but there is still confusion about some of the most fundamental questions. People often ask "What is data quality?" "How is it measured?" "How do I show the value of data quality to management?" "How do I build an effective data quality program? The tutorial is designed to answer these and other related questions and give participants actionable steps to implement a successful data quality management program. Accurate business reporting and data analytics can only be achieved using high-quality data. Yet many organizations either do not have a data quality program, or they just focus on standardizing source data. Having a complete, ongoing program to measure, monitor, and improve the quality of data is a competitive advantage for an organization in today’s data driven economy. This tutorial is primarily for participants starting a comprehensive data quality program or wanting to assess and improve the capabilities of an existing data quality program. Hands on exercises are included. Participants will learn:
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Monday |
PM2 - 7 Essential Artifacts for a Successful Data Governance
and Data Quality Program David Marco, President, EWSolutions Many organizations have established the basic foundation of a data governance or data quality program but find themselves struggling with implementing the program into their organization’s activities. They have the structure in place, they have the people in place, but how do they take it to the next level of maturity across the enterprise? Does the organization have the proper artifacts and processes to use those artifacts to ensure success? This tutorial presentation will provide 7 essential data governance artifacts that you can adapt to your organization’s culture and structure. Having these key artifacts at your fingertips will allow you to rapidly and smoothly respond to program inquiries, challenges, and organizational changes with continued growth and maturity. Participants will leave the workshop with a collection of artifacts that can provide real world success. Usable, detailed templates and processes will be provided and examined, based on the real-world experiences in data governance and data quality with major organizations. Attendees will be able to customize these artifacts to suit their organization's needs and culture. Learning Objectives will include:
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Monday |
PM3 - Building
and Using Data Governance Maturity Models Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com There are several maturity models that are familiar to data management practitioners. Each of the model highlights what the artisan tells us are the most important aspects of managing data and information. The models all address data governance as an important component but there is not a single maturity model that can be used specifically for data governance. Until now. In this tutorial, Bob Seiner will share a maturity model built for data governance. The model utilizes aspects of other models while simplifying the structure and showcasing artifacts that you can build yourself to go from one level to the next. In this presentation, Bob will discuss:
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Monday |
PM4 - Successful
Data Governance for Data Lakes Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners Data Lakes are becoming increasingly common in enterprises, and they present a new level of challenges for Data Governance. Data Governance is essential for the success of a Data Lake, but must overcome a number of challenges. For instance, many enterprises have to acquire a wide diversity of data that must be cataloged within the Data Lake, and must protect private and confidential data. This tutorial describes the tasks that a Data Governance function must perform for a Data Lake, and the capabilities that Data Governance must develop to the requisite level of maturity. Particular attention is paid to Data Acquisition, Data Preparation (“Wrangling”) and the needs of analytical models. The relationships that Data Governance must establish with a wide range of units are described including relationships with Legal, Procurement, Risk, Compliance, Privacy, IT Security, Data Scientists, Data Architecture, and more. Overall, Data Lakes are driving Data Governance to play a coordinating and harmonizing role, which can be considered as a new way of working for Data Governance. Attendees will learn:
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| 4:30 - 5:15 AFTERNOON CONFERENCE SESSIONS | |||||
Monday
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Using the Costs of Poor Quality Data as an Actionable Metric to Support your
Data Governance Program Robert Granese, Data Quality Process Manager, AIG Patricia Dougherty, AVP Program Management, AIG The impetus for pursuing good data quality has moved from a simple regulatory play to one with huge business benefits. We will discuss how to measure the potential impacts of bad data and share the results with your Business users to get maximum value out of data governance and quality efforts. This can also be leveraged as an enabler to gain buy-in with your data governance program efforts. We will cover:
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Monday |
Building a Culture of Data Governance
at a Major Higher Education Institution Dan Hubbard, Director of Data Management, University of North Texas - Data, Analytics & Institutional Research Alexandra McCullough, Senior Data Analyst, University of North Texas - Data, Analytics & Institutional Research Building a data governance program at a major higher education institution requires executive support, collaboration, and most importantly, culture change. This session will focus on strategies, lessons learned, and best practices for widespread adoption of data governance protocols. The University of North Texas is in the process of implementing a comprehensive data governance program alongside the roll-out of an integrated data warehousing and analytics program. The changing data and information landscape has led to significant institutional culture change requiring the removal of traditional information silos and barriers. Positive outcomes of this work include dramatically improved data and analytic resources, increased understanding of business terms and data resources, and an integrated analytics and data governance environment. Best practices to be discussed include the implementation of a comprehensive training program, data governance plan and council structure dependent upon a network of subject matter experts and data stewards across the institution. Level of Audience: |
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Monday |
Improving the Adoption of your
Data Governance Program Lowell Fryman, Services Capability Principal, Collibra One of the more significant challenges for all Data Governance programs is improving Data Governance program adoption and maturity across the organization. This session will present options and alternatives that can be used to increase the depth and breadth of adoption within a business unit as well as across business units. We will identify business cases that will excite your business units to engage their participation in the Data Governance program. Many of the actual user cases that we have found to be successful and the techniques we have relied upon will be discussed. The attendees will learn:
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Monday |
Data Governance: From Strategy to
Action (using Agile!) Dagmar Rosa, Director, Marketing Data Management & Account Data Governance Program Lead, Citrix Best Practices indicate that you should not “Boil the Ocean” when establishing an Enterprise Level Data Governance Program. Well, what does that mean? How can you make sure to take that Enterprise Level Strategy and turn it into Action delivering business value not 6, 9 or 12 months later but within a few weeks? This session will share the experience establishing the Account Data Governance Team (ADGT) at Citrix in 2017. The launch used traditional Project Management approaches and then evolved it into an ongoing Program meeting business objectives quickly and iteratively using Agile methodologies based on the formation of Continuous Delivery Teams. The program is sponsored by a cross functional Data Governance Leadership (DGL) team where ongoing Collaboration and Alignment has been key to the program’s success. Specific objectives are as follows but this approach to aligning the overall Strategy with day to day Action can be applied across any business need.
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