Conference Sessions - December 9, 2010
| Thursday 9 December 7:30–8:20 |
Registration and Continental Breakfast | |||||||
| 7:30 - 8:20 SPECIAL INTEREST GROUPS | ||||||||
Thursday |
Meet the Data Governance Professionals Organization Davida Berger Pablo Riboldi, Data Governance Professionals Organization The Data Governance Professionals Organization (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. Join us on Thursday morning and meet the founding committee and learn more about this group! |
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| Thursday 9 December 8:30–8:45 |
Welcome |
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KEYNOTE: What Does 'Manage Data Assets' Really Mean? Thomas C. Redman, Ph. D., the Data Doc, Navesink Consulting Group For nearly a generation, managers have exhorted their organizations to “manage data as business assets.” But relatively little has happened, perhaps because the logical follow-up question, “what exactly should we do differently?” go unanswered. This presentation answers that question. It makes three mutually-reinforcing “prescriptions” and shows how leading companies follow them. Specifically:
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| 10:15 - 11:15 CONCURRENT SESSIONS | ||||||||
Thursday
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Governance for Metadata Malcolm Chisholm, President, AskGet.com Data Governance is not widely accepted as necessary, but if it really is, where does that leave the governance of metadata? Surely the Data Management function cannot advocate Data Governance for the rest of the enterprise, but leave the metadata ungoverned. This presentation examines what is required for metadata governance. It lists the various categories of metadata that need governance, and the different kinds of governance involved. In addition the presentation examines the stakeholders involved in metadata governance and how they are distributed among the business and IT. Tools and techniques for metadata governance are described. Problems that can arise from lack of governance of metadata are explored, along with how to justify the allocation of resources to metadata governance. With the constant growth in the volume and scope of metadata, Metadata Governance is now becoming essential. Attendees with learn from this presentation:
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Thursday
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How to Expand and Grow Your Data Governance Program Winston Chen, VP Strategy and Business Development, Kalido Becky Briggs, Senior Manager/Data Steward, ARC Most data governance programs follow the “Start small, think big” strategy, beginning with a narrow remit in order to gain initial success before expanding to the rest of the organization. While the theory is sound, in reality, it can be difficult to figure out how to translate an initial success into an operationalized, institutionalized program. This presentation will discuss ways to expand success in one data governance area to the others. Becky Briggs of ARC will highlight her own experiences in developing a mature, policy-centric data governance program and how the program has expanded and evolved with greater organizational support. In this session, attendees will hear:
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Thursday
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Selling Data Governance John Ladley, President, IMCue Solutions Organizations need to develop a business case for Data Governance, even if they are not required to do so. How can you measure data governance if you have not set any targets in advance? This presentation will cover the significant drivers for data governance (DG) that offer solid financial results and will expedite solidifying your DG effort. We will review real examples from a successful Data Governance implementation at Erie Insurance Group which will reinforce the objectives of this session. This session will cover:
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| 11:30
- 12:00 DATA GOVERNANCE SOLUTIONS |
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Thursday |
From Data Discovery to MDM: The Single-Platform Approach to Data Management Companies worldwide are struggling with the spread of data throughout the enterprise – and an ever-growing mix of technologies to manage that data. In this session, participants will learn how a single platform for the key requirements of data management, including data quality and data integration capabilities, can help companies fix their data challenges today and realize immediate benefits from their data assets. The session will also demonstrate how these capabilities can be extended to build the foundation for more complex, resource-intensive goals like data governance and MDM. |
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Thursday |
Metadata: The Beating Heart of Data Governance Ian Rowlands, Senior Director of Strategy, ASG Software Solutions Of course data governance depends on culture, discipline, executive buy in… and all that good stuff. The truth is, though, that the real work gets done with a plethora of tools. All too often the tools end up as islands of technology, and the lack of tool integration creates disconnects that are directly contrary to a disciplined approach to data governance! This session presents a reference architecture for governance technology, based around the ASG-Rochade enterprise metadata repository and associated technology. | |||||||
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Thursday |
Data Governance: Reports, Rules, Controls, Audits, Stewards How does an organization govern its core information assets? This presentation describes different deliverables that need to be created by a Data Governance program. Participants will be invited to hands-on session to explore the reports, rules, controls, audits that data stewards can use to govern their information assets. |
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| 1:00 - 2:00 CONCURRENT SESSIONS | ||||||||
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How to be an Effective Data Governance Manager Robert S. Seiner, President and Publisher, KIK Consulting & Educational Services and TDAN.com This session will focus on the styles and activities of Data Governance Managers and the impact they have on the success of their programs. Most people are familiar with the popular series of books – “Seven Habits” – written by Stephen Covey. This session from Bob Seiner will focus on seven habits of successful Data Governance Managers. Mr. Seiner will share examples of styles and activities of Data Governance Managers that lead their organization’s Data Governance practices and programs, and the impact that these styles and activities have on the results of the program. This session and the habits introduced will focus on successful Data Governance Managers:
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Motivating the Volunteer Army - Establishing a Data Stewardship Community of Practice April Reeve, Consultant, EMC Consulting Even in organizations where some of the members of the Data Governance program are full time, most of the Data Stewards involved will have jobs that are not directly about Data Governance. What is the motivation for these resources? A Data Stewardship "Community of Practice" is created by identifying people in the organization who play a Data Stewardship role, regardless of their reporting relationships. The value to the organization is to establish standards of behavior and process. The value to the individuals involve concepts of "Participation", "Identity", and professional development.
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Using Collaborative Technology to Transform a Large Enterprise into a Data Governance Culture Julian Shelbourne, Consulting Manager, Capgemini Financial Services Radhika Madaan, Master Data Management Program Manager, Kaiser Permanente Kaiser Permanente is a large and complex health-care and health-insurance provider, advancing quality of care through integrated analytics against massive volumes of membership and clinical data. The sheer scale of Kaiser’s operations - with multiple lines of business, deep historical presence and geographic dispersion - stretches the limits of traditional data-management approaches which are often lacking in business focus, governance, and involvement. Kaiser is emphasizing business data governance and empowerment, and data-warehouse tool integration to facilitate business-driven, business-aligned, sustainable analytics. This session will provide an overview of Kaiser Permanente's work to enable a platform for collaborative knowledge-capture from subject-matter experts, including the definition of a federated enterprise analytics glossary and the use of it as a foundation for data-integration design and maintenance activity - and will explore Kaiser Permanente’s actual implementation, IT and business-level accomplishments to date, lessons learned, and future technology | |||||||
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| 2:10
- 3:10 CONCURRENT SESSIONS |
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Thursday
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How to Measure Your Data Governance Program to Prove Value In this practical facilitated discussion, attendees will learn about the development of data governance metrics and how these assist in both the maintenance and publicity of a data governance program. Data governance metrics include many areas of an information management program and function including but not limited to: Metadata management, Data profiling, Data classification and Verification, Data quality, Cleansing efforts and Stewardship. We will focus the discussion on the development of data governance metrics and how the following areas below provide structure to data governance initiatives:
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Thursday
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Data Governance in US Army Logistics Context: Improved Decision Making Specifics Edward Reddick, DALO CID (Data Management), US Army Peter Aiken, Founder, Data Blueprint The Army Logistics community relies on data to make logistics decisions which have the ability to greatly impact the Army budget, Army readiness and Army effectiveness in combat. It is critical that the people involved in this decision-making process share a unified view and approach of accurate and timely data that is well defined, of high quality, and accessible on demand. We describe the specifics of the decision- making context that existed prior to the implementation of the G4 Data Stewardship program, the program, its implementation, and the way the Army is using these improved stewardship capabilities to harmonize decision making across the logistics community. We provide several examples of improved decision making and associated decisions as a results of the G4 Data Stewardship program. The G-4's efforts are in support of improved Army Logistics information quality which, in turn, enable more effective decision making. |
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Thursday
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Calculating a Baseline Data Assessment as part of your Data Governance Program Anne Marie Scarisbrick-Hauser, Senior Strategist, Incisive Analytics The average organization surveyed by Gartner (2009) indicates that the loss of revenue related to data quality is due to lost productivity among workers who, realizing their data is incorrect, are forced to compensate for the inaccuracies or create workarounds when using both operational and analytical applications. A more sophisticated view of data quality includes an evaluation of the interaction of employee behavior, current business processes, technologies and governance processes to enable an organization to meet business goals and objectives. A baseline data assessment is recommended as key success factor to support a data governance program. Attendees will learn about how the following components of a baseline data assessment that provides an evidence-based foundation for future data governance strategy and planning:
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| 3:10
- 4:00 ICE CREAM RECEPTION AND EXHIBITS OPEN |
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| 4:00 - 5:00 CONCURRENT SESSIONS | ||||||||
Thursday
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Data Governance- 7 Best Practices of Highly Effective Data Governance Initiatives James Orr, Global Director, Enterprise Data Strategy, Trillium Consulting In the face of new governmental regulations and policies, organizations will be required to provide increasing levels of visibility and clarity about their data. As a result, data governance will become mission-critical for organizations to better understand how data impacts business results and risk. Yet, many companies are in the dark about practical, proven methods for incorporating data governance in a cost-effective and impactful way. Data governance is a complex array of data management and organizational challenges that test the best the industry has to offer. This unique discipline of orchestrating people, process, technologies, and cross-functional business alignment is every bit as intricate as your global enterprise data architecture. While success can be allusive and the task daunting, it is important to note that high performance data governance is achievable by sticking to the fundamentals. Learn seven practical and fundamental best practices that are sure to steer your data governance program in the right direction. In this session, you will learn:
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Thursday
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Strategic Partnerships in Data Quality and Data Governance - A Success Story Strategic Partnerships in Data Quality and Data Governance - A Success Story" is a real-world example in relationship building, sustaining Strategic Partnerships between Business and IT, Best Practice sharing, engagement management, developing business value and executive sponsorship in Data Quality and Data Governance. The backdrop for this story is Cisco's own lessons learned in cross-functional collaboration along the journey towards Enterprise-wide Data Quality and Data Governance. The session provides an overview of Cisco's practical approaches in Data Quality and Data Governance through a few key enablers from a "How-To" perspective:
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Thursday
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Leveraging Data Governance to Improve Data Quality at ConAgra Foods Corey Cashmere, Manager Data Governance, ConAgra Foods In 2007, the data ConAgra Foods was providing to its customers were some of the worst in the industry. Various retailers had ranked ConAgra Foods near the bottom for data quality. Both internally and externally there was little confidence in the data around product packaging specifications creating various distribution and customer service issues. ConAgra Foods Data Governance Team identified the data touch points and then worked back into various business areas including Product Development, Sales, Warehousing, Transportation and Customer Service to effect changes. These improvements not only impacted internal business areas, but helped ConAgra achieve a 100% accuracy rating with its customers. This helped strengthen ConAgra’s Data Governance program as an essential part of the enterprise. In this presentation, learn how ConAgra foods developed and built consensus for Data Quality by focusing on the business impacts of Data Quality, and hear how ConAgra executed the needed changes to data, processes and, most importantly, culture that took them from worst to first with their customers. 2010 DG Best Practice Award Finalist |
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| DATA GOVERNANCE SOLUTIONS |
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| Taking the First Step: How to Set the Right Initial Scope for Data Governance Mike Wheeler, Director of Data Governance Solutions, Kalido Getting started with data governance can seem overwhelming – it has the potential to take on an impossibly large scope and a pervasive, enterprise-wide reach. Successful organizations embarking on the data governance journey have thrived by first starting small, proving the value of data governance, and capitalizing on those achievements to expand the scope. This session will discuss how to develop a manageable initial scope that can produce immediate business benefit while instituting a permanent organizational structure and processes. In this session, attendees will learn:
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Thursday
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Companies making Data Governance a reality The Business Semantics Glossary, Collibra’s Data Governance platform, was launched almost a year ago. As such it was one of the first platforms entirely focused on Data Governance. During this session we will show how technology has supported Data Governance initiatives at a number of customers in different verticals: Finance, Government, Utilities,… . These are real cases about companies using technology to make Data Governance a practical reality. We will discuss their main drivers for starting a Data Governance initiative. As well as their pragmatic approach in moving towards a gradual roll out of technology to support and sustain their Data Governance program. The importance of Business to IT alignment and the challenges to support this social process will be highlighted. Because Data Governance is about Data, Process and People. This will be illustrated with live demo examples and scenario’s. Making Data Governance real. |
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| 5:40 - 7:30 RECEPTION AND EXHIBITS | ||||||||
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