Conference Sessions - June 18, 2013
| Tuesday June 18 7:00–6:00 |
Registration | ||||
| Tuesday June 18 7:30–8:30 |
Continental Breakfast | ||||
| 7:40 - 8:30 | |||||
Tuesday |
Wake Up with the DGPO and Discuss What It Takes to be a Data Governance Professional Data Governance Professionals Organization Get up with the rooster and join us for an early morning session that will get you ready for the conference and bring you up to date with the latest information about the only Professionals Group focused on sharing best practices in Data Governance. After a brief group presentation, and highlights of the conference ahead, discussion will be led toward defining “What it takes to be a Data Governance Professional”. Board members of the DGPO will lead a lively discussion on this subject, share findings that have been collected by a DGPO working group, and solicit feedback from the participants. Join us for this session certain to wake you up for the rest of the conference. Level of Audience |
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| Welcome DebTech International and DATAVERSITY |
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Tuesday
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KEYNOTE: Bridging the Gap in Data Governance and Data Quality Danette McGilvray, President and Principal, Granite Falls Think about the toughest issues you have to deal with in your data governance and quality work. Many are people-related, with varying opinions as to how governance and quality should be approached and how they are prioritized compared to other concerns. Some issues can be traced to differing ideas about whether data-related work belongs in technology or business functions. Anyone who deals with data and information often find themselves “in between.” We may be in between business and technology, in between functional areas of the organization or in between individual viewpoints. What is needed is a bridge - a structure that allows passage across an obstacle. As data governance and information quality professionals we are in the unique position of using the fact that we are “in between” to our advantage. All professionals – business, technical, and data - have the opportunity (and the responsibility) to learn how to overcome obstacles and bring all sides together. Learn leadership lessons from the building of one famous bridge (The Golden Gate Bridge in San Francisco) to help you better bridge the gaps you find between people and organizations in your data and information work. |
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Tuesday
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KEYNOTE: Measuring the Business Benefits of Information Governance Byron Banks, Vice President Database & Technology, SAP 20% of CIOs will lose their jobs for failing to successfully implement information governance according to a leading analyst research firm. Yet, spending on information governance is far below what it needs to be. So how can you measure and show business results from information governance to your executive stakeholders in order to increase investments? In this keynote, we'll highlight how leading organizations have succeeded with metrics and measures to show bottom and top line benefits. |
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| 10:10 - 10:40 COFFEE BREAK | |||||
| 10:40 - 11:30 CONCURRENT SESSIONS | |||||
Tuesday
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The Governance of Data Quality: The Journey from Policy to Metric Matt Crittenden, Governance Specialist, IBM's North America Information Governance Organization, IBM In some organizations, data quality is treated as a project that starts when a data anomaly is discovered and completes when the problem is rectified. Companies that are seeing success in data quality governance focus their attention on the overall flow and process required to prevent the anomalies from occurring in the first place. This session will focus on the people and process for getting started with your data quality program. The journey begins with defining what quality means to your organization and moves forward to establishing a metric based monitoring program. Level of Audience |
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Tuesday
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The
Data Lexicon’s Role in Capturing More Value from Enterprise Data Christopher Barr, Data Governance Manager, Cincinnati Financial Corporation Geoffrey Colgan, Managing Director, Attadale Partners, LLC Information management, once regarded as a compulsory pursuit, is now widely viewed as a source of competitive advantage. The global insurance industry was forecast to spend $179 billion on enterprise IT in 2012 and leading companies have implemented strategies to organize their data to support better strategic decision making. To address these issues, the enterprise data warehouse (EDW) is often central to the solution. A recent study shows that one-third of companies are already experimenting with big data analytics, and 63 percent of them indicate that an EDW is their preferred tool. A well-executed EDW creates an enterprise asset of great potential value; conversely, a poor EDW is a liability that adversely affects a company’s bottom line. Whether companies implement a new EDW or improve the one they have, a data lexicon—a comprehensive standard for how data are defined, labeled and managed—can enable companies to bring consistency and structure to their information and accelerate efforts to extract more value from their data. This session will provide the participant with practical insights, including:
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Tuesday
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MDM Metrics and Measures,
The "Real" Thing! Scott O’Meara, Director, Global Data Services, The Coca-Cola Company Coca-Cola's Global Business Services Central Data Management team defined and implemented a core set of master data management metrics over 4 years ago. During that time these measures and operating routines have been leveraged to produce a significant level of productivity improvement across the data management shared services teams. We've learned what measures are most effective and refined our operating routines accordingly over the past several years. We would like to share our best practices and experiences with the data management community and establish a common baseline of industry-wide, benchmarkable data management metrics. The objective of this session is to share proven, practical metrics for measuring, monitoring and stewarding the effectiveness and efficiency of your data management organization. Level of Audience |
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Tuesday
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Using Six Sigma to Communicate the Need for &
Progress of Quality Improvement Programs Joy Medved, Independent Quality Coach & Trainer, Paradata Consulting While most practitioners agree that information and data quality are extremely important for business survival, many are unsure how to effectively communicate the need for and progress of ongoing quality improvement and governance programs. How do you quantify the current level of quality when no quality program yet exists? How do you communicate (and quantify) the progress achieved in an existing governance program in language that senior management and other stakeholders will understand, and thus continue to support? This session provides a variety of Six Sigma tools and communications strategies that can be used for large- or small-scale quality program efforts, and require no special training or funding to implement. Level of Audience |
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Tuesday
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The Context of Data Assessment Laura Sebastian-Coleman, Data Quality Architect, Optum v Most data management professionals are familiar with the benefits of data profiling and other forms of data assessment as part of development projects. However these processes are often left behind once production systems are up and running. This presentation will assert that a comprehensive approach to data assessment is fundamental to successful, long-term data management. It will present the goals and measurement activities within the overall context of data quality assessment, from initial assessment to in-line controls and measurements through periodic measurement. Participants will come away from the session with an overall approach to data quality assessment and specific ideas that they can implement in their environments. Level of Audience |
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| 11:45
- 12:15 DG AND IQ SOLUTIONS |
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Tuesday
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Centralized Approach to Governance & Master Data Management Robert Rich, Global Program Director MDM, Teradata Corporation In this session Robert Rich will discuss how to establish a governance framework for master data that is tightly integrated with the Enterprise Data Warehouse. Teradata Master Data Manager supports a centralized approach to govern master data including party, product, location or reference data. Capabilities include data validation with alerts, business rule management, workflow and approval management, role and column based access control and complete management of a “golden” logical record. A single solution supports multiple domains and a variety of integration patterns including analytical and operational MDM. Teradata MDM is a powerful and flexible solution that lets our customers approach master data and data governance projects in the order and level of complexity that drives the most business value. |
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Tuesday
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The Technology of Data Quality Governance: Data Quality Policies and Rules Mark Hensley, Governance Specialist, IBM's North America Information Governance Organization, IBM We are all familiar with the trinity of governance: People, Process and Technology. This session will center on the technology enabling your data quality governance journey. Special attention will be placed the linkage between business policies and technical data quality rules that enforce those business policies. |
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Tuesday
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Locate and Exterminate – Stamp Out Hidden Factories from Your Business Kiran Gill, Senior Strategic Consultant, Trillium Software Lean Data Governance is the application of Lean methodology to data governance using key Lean methodologies. This approach can help your business to prevent and eliminate wasteful data management processes and wasteful or inefficient activity. Lean Data Governance helps organisations to deliver robust, reliable and timely outputs to their internal customers by locating and eliminating Hidden Factories. The term “Hidden Factory” is used to describe areas within the business that are visible to the eye, but have unseen processes running in the background. These activities are not transparent, they’re very wasteful and they run a high risk of duplication of effort. Lean Data Governance feeds the process of identifying and exposing these Hidden Factories, allowing the business to replace these with more transparent and efficient operations. This session will detail the process of locating and exterminating these factories.. We will walk through the process of sniffing out these factories, working out what they do and formulating a plan to exterminate. We will explore how these inefficient operations can be replaced with Visible Factories that promote success and growth. |
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Tuesday
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Collibra's Data Governance Center v4.1: a Data Steward focused Platform Stan Christiaens, Co-founder and Operational Director, Collibra Data Governance is operationalized through Data Stewardship. Collibra's Data Governance Center enables your data stewards in their daily work: managing the business glossary, curating reference data, setting up policies and rules, measuring compliance, monitoring quality and resolving issues. The Data Governance Center supports essential data assets (e.g., data definitions, business glossary, reference data, data domains, ...) which are critical instruments in any stage of maturity. Collibra goes beyond and supports more advanced data assets (e.g., business rules, policies, metrics & measures, ...). The platform is set up to handle any kind of operating model: different organizational setups (e.g., functional, centralized, federated, ...), out of the box and configurable roles, responsibilities and workflows (e.g., approval, notification, issue management, ...). |
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Tuesday
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Data Governance From Many Angles Ian Rowlands, VP Product Management, ASG The problem with a lot of Data Governance “solutions” is that they make unwarranted assumptions about the problem being addressed, or the organizational model being adopted. At the heart of any good governance solution must lie the answer to three key questions:
Join ASG in this session to understand how a unique combination of Business Glossary, metadata management and enabling technologies, will help you address your governance issues, no matter what your angle of attack. |
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| 1:30 - 2:20 CONCURRENT SESSIONS | |||||
Tuesday
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Information Governance Maturity Models: Quick and Easy Tina Rosario, Business Strategy, SAP So you’ve started an information governance initiative. How can you tell if you are making progress? And how can you tell if one area of your business is making more progress, while other areas are challenged? In this session, learn from the Global Data Management organization at SAP discuss how they assess information governance maturity across the business. Their straightforward approach can easily be leveraged by your organization too! Level of Audience |
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Tuesday
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How
to Gain Sponsorship In Data Governance Al DeCarlo, Sr. Director, Data Governance & Quality, Express Scripts Elisa Pirylis, Director – Data Governance & Quality, Express Scripts Winner of 2012 Data Governance Best Practice Award Express Scripts, a leading pharmacy benefit manager with the nation's largest mail order pharmacy operations, has a well funded and supported data governance program with sponsorship starting at top levels down throughout layers of enterprise management. How did they accomplish this? This presentation will discuss the unique approach they used for sponsorship and specifically a 'sponsorship model' that they have designed and employed and that focuses on the relationship of data stewards to the relevant sponsors for their domains. The sponsorship model is a mechanism to help engage individuals and teams that can champion and invest in the data governance program by advocating the benefits, communicating how data governance has helped them, and by supporting them via funding for specific projects, s time from subject matter experts and other staff, as well as other resources. Within this presentation we will share how Express Scripts has used the sponsor model to fund, support and grow their data governance program and will also share the details of how to create a sponsorship model which includes an approach defining:
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Tuesday
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Lessons Learned in Data Governance Execution in Financial Services Xiu-hua McGovern, Data Quality Management and Governance Executive, Bank of America Executing data management requires a strategy, a roadmap/a multi-generational plan, and commitment in the terms of time, funds and resources. This session will focus on the experience gained and best practices in executing the Bank of America Consumer Bank Data Management Program. Topics:
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Tuesday
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Data Quality from the Ground Up: A Case Study on Focused Data Improvements and Their Business Impact Edward Cuoco, Director Data Quality, EnerNOC While many discussions of data quality focus either on general governance or larger-scale analysis; focused efforts on well-defined, high impact issues can often lead to far more meaningful business outcomes. In this session, we will review an effort undertaken to improve performance of a focused set of business assets, the means of identifying and monitoring said assets, the process of improvement and feedback and, finally, the business impacts of the improvements specifically and the wider-reaching outcomes. Level of Audience |
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Tuesday
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A SaaS Approach to Entity Identity Management John Talburt, Professor, UALR Information Science Data quality problems often surface in an organization when it is unable produce an accurate list of its customers, products, and other key entities. The root cause of this problem is usually a failure to properly manage and apply the identity information associated with these entities. In many organizations the identity management processes are deeply embedded several different business processes and do not have a single point of coordination and management. This talk focuses how to develop an effective strategy for managing the life cycle of entity identity information across the enterprise based on an identity service. Major topics include:
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| 2:40
- 3:30 CONCURRENT SESSIONS |
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Tuesday
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Data
Governance Best Practices in Insurance - Information Asset and Amica Mutual
Insurance Rachel Jones, Data Governance Lead, Amica Mutual Sunil Soares, Founder and Managing Partner, Information Asset, LLC This session will describe how Amica Mutual Insurance leveraged industry best practices to implement a data governance program. The session will discuss the following:
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Tuesday
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The Intersections of Risk and Data Geoff Harkness, Managing Director, MorganFranklin The focus on enterprise-wide risk management (ERM) has become critical across a broad range of global companies since the financial crisis in 2008. In an effort to prevent history from repeating itself, industries such as financial services, healthcare and energy in particular, are creating frameworks to proactively identify and analyze risk. In addition to preparing for unexpected market events such as a financial crisis or natural disaster, corporations view operational issues as a key risk management driver to enabling them to retain competitive value and maintain compliance with regulatory requirements. Underpinning the success of any market or operational risk management effort is data management and data quality. If the information being analyzed does not conform to important data quality dimensions, risk cannot be effectively forecasted and mitigated. Therefore, it is imperative that companies integrate both risk and data into their corporate strategies. Key insights to consider when managing the intersections between risk and data include:
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Tuesday
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Data Governance
and Data Quality programs: Better Outcomes, Worthwhile Change, for Any Organization Deepak Bhaskar, Senior Manager, Enterprise Data Governance, Digital River This presentation provides an overview of Digital River's Data Governance and Data Quality Programs, with an emphasis on our successes in these programs. We will review how our 4- step Data Quality Program works to identify, assess, cleanse, and monitor data. The session will include examples of how Digital River is successfully utilizing the Data Quality program in both real-time and batch mode. Also covered are aspects of Data Governance that we have in place with Dashboards and Metrics Attendees can benefit from attending this presentation by understanding:
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Tuesday
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Measuring the
Value of Information Peter Benson, Executive Director, ECCMA Valuable information is derived from quality data but not all quality data delivers valuable information. Identifying and tracking the value of information needs to be the primary focus of data governance and the key to the allocation of scarce data quality resources. Data quality initiatives that are focused on delivering valuable information are the true success stories.
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Tuesday
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Governing the Master Data Portfolio Arka Mukherjee, Founder and CEO, Global IDs Most organizations run their core business using a collection of data objects, collectively called the Master Data Portfolio. This presentation describes how the Master Data Portfolio can be systematically measured, governed and optimized. Attendees will learn how to use a methodology that has been deployed at an enterprise scale in large, complex organizations. Level of Audience |
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| 3:30 - 4:15 ICE CREAM BREAK AND EXHIBITS OPEN | |||||
| 4:15 - 5:15 KEYNOTE | |||||
Tuesday |
Award Winning Data Governance Winner of the 2013 Data Governance Best Practice Award LDS Church Pablo Riboldi, Solution Manager – Information Governance & Quality The Church of Jesus Christ of Latter-day Saints has one of the longest running successful data governance programs. In this presentation not only we show the evolution of this program, its structure and influence; but also we discuss the governance problems we faced, the practical solutions we have implemented, and the business impact, benefits and results obtained. Some of the governance strategies you can learn are as follows:
As we discuss the strategies that have worked in our organization and you can learn how to apply them successfully in yours. |
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| 5:15 - 7:30 EXHIBITS AND RECEPTION | |||||
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