Conference Sessions
November 17, 2011
| Thursday 17 November 7:00–6:00 |
Registration | |||||
| Thursday 17 November 7:00–8:30 |
Continental Breakfast | |||||
| 7:30 - 8:20 SPECIAL INTEREST GROUPS | ||||||
Thursday |
Getting Help for Your Data Governance Initiative The DGPO is a newly formed international non-profit, vendor neutral, association of business, IT and data professionals dedicated to advancing the discipline of data governance. Our vision is to be the primary resource for practitioners working in data governance. At this session and learn how this can help you with your data governance efforts. Are you interested in learning how you compare to your colleagues in regards to DG efforts? If so, don’t miss this session! Members of the DGPO board will review the results of their DG survey that was conducted this summer at the June DGIQ Conference in San Diego. |
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| Thursday 17 November 8:30–8:45 |
Welcome |
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KEYNOTE: Extending the Data Governance Experience: From Data to Process to Technology As Data Governance becomes widely recognized as a valuable discipline for many organizations, many of these organizations are beginning to apply the same level of authority to the governance of people, process and the use of technology. In some circles this is being called Information Governance as an umbrella term over these disciplines. Perhaps your organization is already calling it (or considering calling it) Information Governance. In this Keynote Presentation, Robert S. Seiner will address the future of data governance and highlight ways to extend your vision and boundaries beyond the data assets of the organization. Attend this session expecting to widen your present views of data governance while being challenged to use what you know to address the governance of people, process, data and the use of technology - or Information Governance if that is what you call it. |
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 9:45
- 10:15 COFFEE BREAK |
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| 10:15 - 11:15 CONCURRENT SESSIONS | ||||||
Thursday |
Enterprise Data Quality Dashboard and Alerts: Holistic Data Quality In today's interconnected and highly regulated environment, the proactive identification of data quality issues results in fewer operational incidents, stronger risk management and actionable decision-making based on high quality inputs. The quality of business-critical data across the information supply chain can be monitored effectively by an Enterprise Data Quality Dashboard. It enables “Holistic Data Quality”: data not managed in silos, but managed instead in a holistic, cross-silo environment to identify and address systemic issues. It provides summary and detail level metrics and assists data governance, enterprise risk, finance and operations. The dashboard also provides trending across several dimensions over a 6-12 month period.
A Data Quality Dashboard is a powerful tool; come hear the fundamentals so you can build your own. |
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Thursday |
Data Governance by Any Other Name: Lessons Learned during the Harvard Pilgrim Data Governance Implementation Jeff Schmitt, Director, Information Architecture & Data Quality, Harvard Pilgrim Health Care At Harvard Pilgrim Health Care, data governance began as a grassroots effort undertaken by groups of concerned stakeholders, cajoled and facilitated by IT, which eventually coalesced around particularly problematic data pain points. When the organization embarked on a five-year IT strategy to replace its core administrative system, executive attention suddenly focused on existing data management capabilities and mandated the adoption of a more formalized Data Governance program to meet anticipated future needs. This session will provide a case study of one organization’s efforts to adopt a data governance framework and associated data stewardship responsibilities. Discussion will focus on Harvard Pilgrim’s organizational context, and the governance model it adopted to respond to its business drivers and organizational culture. It will also describe circumstances unexpectedly encountered after its program launch that required the adoption of supplemental tactics to realize its original data governance objectives. |
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Thursday |
Governance Initiatives through Metadata-driven Reference Data Management Ravi Chivukula, Director, Business Solutions, ASG Over the last few years it has become clear that data governance is critical to business, but it still suffers from lack of executive buy-in for ongoing funding and support. The essential reason is the complexity in directly connecting governance programs to business value. One strategy to address this issue is to wrap governance within a more readily acceptable data program such as Master Data Management. For IT organizations that are looking to get started with data governance, MDM is an effective program to build data governance on. If organizations do not already have a MDM program, Reference Data Management is an effective strategy to get started on both data governance and MDM. This presentation discusses a metadata-driven reference data management solution to initiate data governance, MDM and metadata management. |
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| 11:15 - 11:30 ROOM CHANGE | ||||||
| 11:30
- 12:00 DATA GOVERNANCE SOLUTIONS |
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Thursday |
Explaining the Data Supply Chain With all the discussion about data governance and positioning data as a corporate asset, executives are finally starting to understand that data is lifeblood of a company. What's important is that this critical asset is managed and supported in a manner that ensures access, usage, and protection across the entire company. During this session, Evan Levy, Vice President of Professional Services at DataFlux, will introduce the concept of the Data Supply Chain. Evan will explain why enterprise data transcends platforms and specific use cases, and needs to be managed at every stage of its lifecycle. This new approach in managing corporate information allows business users (and technologists) to more easily understand and position the details of data governance, data stewardship, and data management. |
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Thursday |
Finding a Data Governance Sherpa There are many approaches to developing a successful data governance program - there is no "cookie-cutter, one size fits all" approach. Every company has unique business challenges that must be considered. How do you find a qualified and experienced guide who can "teach you to fish" in a way that helps you avoid pitfalls and enables you to govern in a sustainable, scalable way? Learn the criteria for selecting a consultant to help you build your roadmap, create your strategic data governance organization, mentor you through your pilot project, and ensure you go live with a mature data governance program. |
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Thursday |
The Data Model as Data Governance Foundation An often overlooked aspect to any Data Governance initiative is the expertise and knowledge that exists within most corporate data modeling teams. The same skills that have been historically applied to developing and maintaining a data model can accelerate data governance efforts, translating business requirements into data requirements. A data modeler intimate with his company’s data requirements and sources is a great asset to a Data Governance Council given their ability to deploy new business rules and policies, leverage existing metadata, and formalize data stewardship, using existing tools. |
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| 12:00
- 1:00 LUNCH |
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| 1:00 - 2:00 CONCURRENT SESSIONS | ||||||
Thursday |
Data Matters - Implementing Data Governance in the Real World Marie Panasiti, IT Data Quality Manager, SUPERVALU Kathy Wright, Enterprise Data Governance Director, SUPERVALU This presentation will provide participants with a roadmap to implement a successful Data Governance and Data Quality Program including:
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| A + B = C … Deriving Business Value Metrics is not that easy! Michele Koch, Director, Enterprise Data Management, Sallie Mae Winner of the 2011 DG Best Practice Award In this session attendees will learn the methodology that Sallie Mae used to develop business value metrics on our actively profiled data fields. This presentation will cover:
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| Is Data Protection in the Cloud only Pie in the Sky? David Schlesinger, Data Security Architect, Metadata Security LLC This will be a fast-moving discussion appealing to those interested in managing data in a cloud environment as well as those involved in Data Governance for PCI, HIPAA, Personal Privacy, Business Privacy, trade secrets, and FISMA. We will cover essential information for those involved in moving data to the cloud. Topics will include:
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| 2:00
- 2:10 ROOM CHANGE |
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| 2:10
- 3:10 CONCURRENT SESSIONS |
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Thursday |
Establish a Data Governance Council for Better, Faster Decision-Making Data Governance programs tend to fall short of expectations because they wind up as tactical data quality initiatives that address accuracy and consistency in silos, lacking an effective governing body to manage data ownership, lineage and accountability across the enterprise. Horizon Blue Cross Blue Shield of New Jersey's case was similar: its business areas, data and systems owners were acting independently of each other, and different rules were applied to data as it moved within the company. As a result, Horizon identified discrepancies in demographic data among Provider and Member systems - making it difficult to discern the single source of truth. Establishing a Data Governance Council was the key to transforming Horizon's data governance program into real business value. By stepping up its program with a Data Governance Council, Horizon tackled inaccurate, inconsistent and incomplete data holistically by managing it with priorities and standards, tools and technologies, and clearly defined executive, steward and stakeholder roles and responsibilities to leverage information assets efficiently and cost effectively. In this session, learn how Horizon measurably reduced the complexity and expense of numerous business processes and IT projects, leading to improved decision-making, cost-efficiencies and risk reduction. Attendees will learn:
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Thursday |
Key Considerations in Data Governance - The Importance of Soft Skills Kira Chuchom, Executive Director Data Governance and Architecture, Kaiser Permanente Key Considerations in Data Governance - The Importance of Soft Skills, addresses planning for success and sustainability of a Data Governance program: Culture, Sponsors, Appetite, Maturity, Partners, and Change. Discussion Topics include:
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Thursday |
How Technology Modernization Led to Successful Data Governance at Topco Russell Mann, Director Information Management, Topco Associates LLC Dimpsy Teckchandani, Manager, PwC Topco Associates is one of the largest co-operative buyers and distributors of grocery products for center store, produce, fresh meat, dairy, and health & beauty to the mid-tier grocery chains in the United States. Topco Associates has traditionally under spent in the areas of data management, transactional processing, governance, and information technology over the past 15 years and wants to grow their business to $20B by the year 2020 but cannot achieve that in their current environment. In order to grow organically with the expansion of their grocery category programs across their co-operative membership they have started a five year technology modernization strategic initiative. They realized, early on, that the bulk of their inefficiencies in process across their eco-system was in the poor quality, inaccurate, and incomplete data. To that end they made the decision to address the data management and data governance area at the beginning of their technology modernization strategic initiative. This session is about Topco Associate's story with regards to hitting the wall in their current operating environment which is limiting their ability to grow. Topco Associates starting a technology modernization strategic initiative at the "Lowest Common Denominator", the data, and getting all business units and functional operations to speak the same language and implement the governance and industry data standards to achieve a high level of data quality, accuracy, and completeness through automation. |
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| 3:10
- 4:00 ICE CREAM RECEPTION AND EXHIBITS OPEN |
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| 4:00 - 5:00 KEYNOTE | ||||||
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KEYNOTE: Pictures That Will Rock Your (Stakeholders') Worlds Gwen Thomas, President, Data Governance Institute Executives are visual learners. They speak in sound bites and sell programs based on tightly constructed elevator speeches. Within their organizations, they live at the tip of the pyramid, selling ideas to the next level down, with the imperative to operationalize these tip-of-pyramid ideas throughout the enterprise. In a broader, multi-prise world, their position changes. They are points in a web or links on a chain, selling their perspectives and preferred solutions in environments they don't control. Pictures and bullet points must convey powerful messages. In this session, we'll look at ones that have changed our world in the past, and some that may help us change the future. |
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| 5:00
- 5:10 ROOM CHANGE |
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| DATA GOVERNANCE SOLUTIONS |
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Selling Information Governance to the Business: Best Practices by Industry and Job Function One of the major challenges with any information governance program is explaining the value to the business. Most information governance programs deal with certain themes that are common across every enterprise including poor data quality, inconsistent business terms, fragmented data, high storage costs, regulatory compliance, and security and privacy issues. However, these themes present themselves differently across different industries and job functions. For example, poor data quality manifests itself in the form of duplicate customer records in a bank, which affects the ability of the credit risk group to establish the overall exposure to an individual customer across product lines. In retail, poor data quality results in duplicate mailings of multiple catalogs by the marketing department to the same household. The conversation quickly proceeds along the following lines: “I get the value of information governance. However, it is very hard for me to convince the business about the value of an information governance program. What best practices do you have to help me do this?” This presentation will discuss best industry practices to sell information governance to the business. |
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Agile Data Governance and Data Warehousing by Re-adding Business Context to Data Corporate data systems are plagued by redundant and low-quality data preventing effective data governance, data consolidation, Master Data Management, and data standardization. The most common hurdle to successful data governance is the inability to determine the true meaning of data elements in a business context so a single standardized definition and set of business rules can be created and used across applications, data systems, and business groups. Agility is required to match business decisions with accurate, common, consistent data which cannot be determined solely from technical data structures since actual data values are tied to applications and reports. Standard data model techniques are too rigid, slow, and incapable of handling important semantic variations. This project used Agile, actionable architecture and object-based NoSQL data model with Semantic vocabulary linked directly to business requirements for Agile Governance. A Unified Business Model built on standards based canonical model enables re-adding business context to data models for sophisticated semantic analyses, data element similarity, and business and system usage. |
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Data-Centric Systems Development: A Solution for Testing and Data Quality Governance - A Bank Case Study Data-centric projects have unique challenge of data quality management that separates them from more traditional process automation applications. Conventional approaches to quality assurance are insufficient - data-centric projects need more specialized frameworks for both testing and governing data quality. We will describe a solution that worked for both an MDM and a data warehouse project. The solution saved time, money, and resources, while minimizing financial risk inherent in data quality risk. Attendees will learn·
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| 5:40 - 7:30 RECEPTION AND EXHIBITS | ||||||
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