Conference Sessions - June 2, 2009
| Tuesday 2 June 7:30–8:30 |
Registration and Continental Breakfast | |||||
| Tuesday 2 June 8:30–8:45 |
Welcome |
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| Tuesday 2 June 8:45–9:45 |
KEYNOTE: Data
Governance: The Key To Deriving Value From Data Rob Karel, Principal Analyst, Forrester Research Cross-functional and cross-architectural demand for trusted data is forcing both business and IT leaders to recognize dependencies and conflicting perceptions on data's value that have never before been understood. The adoption of a data governance strategy can help to mitigate these rising conflicts. Explore how evolving market and customer trends like Master Data Management are driving the convergence of technology and data governance, and review a data governance framework- including key roles and responsibilities - that can help you get started. |
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| 10:15 - 11:15 CONCURRENT SESSIONS | ||||||
Tuesday
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Enhanced Business
Intelligence using Data Governance Program at Lexmark
Sreedhar Srikant, Enterprise Data Architect, Lexmark International Amiya Mansingh, Managing Partner, Cobi Systems LLC Lexmark has embarked on an ambitious program to implement data governance and master data management across five key areas - Customer, Product, Material, Employee and Supplier. To aid the larger program, a project was funded to specifically understand the challenges associated with such programs and devising solutions. The "Sales In" project combines master data areas of customer and product along with data governance principles to produce mission critical reports to Lexmark management team. This replaces the current process of manually producing the monthly reports to a more automated and reliable reporting system. In our presentation we showcase the lessons learned through the progress of this project.
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Tuesday
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How to Implement a
Financial Disclosure Framework to Satisfy the Demands for Increasing
Transparency and Disclosure Steven Zagoudis, President, MetaGovernance LLC Transparency and financial disclosure have become common vocabulary in today's economic and political environments. Years of financial transactions in unregulated markets have led to global financial instability not seen in decades. As a result, the demand for full transparency of financial transactions, increased regulatory oversight, and complete disclosure to the regulatory agencies is going to place a floodlight on data quality and consistency issues. A Financial Disclosure Framework is key to ensuring accurate data for regulatory and financial reporting. This presentation will illustrate how Information Governance, Business Intelligence, and Accounting/Financial Reporting principals can be readily combined to produce the Financial Disclosure Framework. Technologists have become proficient in producing Business Intelligence applications. Accountants, auditors and risk management personnel create excellent control and reconciliation frameworks. This presentation brings both disciplines together to provide a consistent, automated framework for ensuring data within the reporting infrastructure accurately reflects business transactions. Specifically you will learn:
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Tuesday
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MDM Is Not a Cure-All
- Keep the Focus on Data Scott Gidley, CTO, DataFlux Mike Hall, Data Management Director, Experian Consumer Information Services MDM without defining the limits of master data or having data quality in place. A wave of articles, product releases and even analyst reports describe solutions for companies looking to "get into MDM" or "try out" an MDM project. While well-meaning, this approach is impractical and fraught with danger. In this presentation, Scott Gidley will discuss why MDM isn't something you can start doing right away, just as you can't put together an Olympic sports venue in two weeks. MDM is the culmination of what will likely be years of successful data management practices. It's important that both novice and advanced practitioners understand, especially in a downtrodden economy, that pursuing MDM technology without the proper people and processes in place is likely a waste of money. MDM can be a fruitful endeavor if companies are armed with accurate information and reasonable expectations. This session will instead examine what needs to be in place to build the foundation for an eventual MDM project, including:
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Tuesday
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Active and
Passive Data Governance – A Detailed Look at Two Methods
for Managing the Ongoing Creation, Collection, and Maintenance
of Data for Integrated ERP Solutions Steve Yeager, Data Governance Engagement Partner, BackOffice Associates, LLC Creating a data governance organization that can effectively manage complex data-related relationships, roles, and scenarios can be a daunting task. This session explores two methods of data governance — active and passive — and provides a detailed look at the benefits and uses of each. Understand how passive data governance allows users to interact directly with source systems to monitor results and identify data issues. Find out how active data governance differs from passive data governance by providing a guided process for the introduction and management of data into selected systems. Understand the four levels of data governance — from “no data governance” where every user is trusted to enter in their data accurately and on-time, to “active data governance” where all data required to support a configured SAP business process is collected prior to posting and automatically validated. Come away with tips for leveraging these models to reduce the possibility of business process interruptions due to omissions, duplication, consistency and content errors, or a lack of data standards. |
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| 11:30
- 12:00 GOVERNANCE SOLUTIONS |
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Tuesday
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Practical, Powerful, Proven:
Mission-critical Strategies for Successful Data Governance James Orr, Data Quality Practice Leader. Trillium In today's challenging economic times, organizations will be required to provide increasing levels of visibility and clarity about their business processes. As a result, data governance will become mission-critical for organizations to better understand how data impacts business results. Yet, companies are in the dark about practical, proven methods for incorporating data governance in a cost-effective and impactful way. Nowadays, companies don't have big budgets to spend, so how can business users gain executive buy-in for goal-oriented governance projects today that reap huge rewards in the future? Practical, powerful and proven best practices should be at the core of every data governance plan - with "practical" being the operative word. In this session, tried-and-true data governance strategies will be broken down into 12 mission-critical steps that create a center of excellence, demonstrate business value, achieve executive buy-in, and promote responsibility, authority and accountability to realize your company's data governance goals. In this presentation, these 12 clearly-defined strategies will be outlined, and attendees will learn:
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Tuesday
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A Comprehensive Approach
for Governing Large Data Landscapes Most companies have hundreds of data sources containing both
structured and In this presentation, we describe a highly-automated approach
to Data |
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Tuesday
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What is Integrated Data
Management? Peter Mandel, IBM Optim Product Line Management, IBM Integrated Data Management solutions provide a scalable, modular framework designed to increase organizational productivity while improving the quality of service, cost of ownership, and governance of data, databases, and data-driven applications across a heterogeneous enterprise. From an IT perspective, there's much to gain. But how does integrated data management map to business objectives and how do line-of-business (LOB) managers benefit? Join us to learn about the business impact of managing enterprise data holistically, from requirements to retirement. |
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| 1:15 - 2:15 CONCURRENT SESSIONS | ||||||
Tuesday
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How Finance Made Data
Governance an Efficiency Play at Farmers Spencer Hertler, Director, Enterprise Data Management, Farmers Insurance Recently, Farmers was able to successfully implement Data Governance by making it an efficiency play for the organization. This was made possible by enhancing its BI infrastructure to enable the retirement of several disparate legacy reporting and analytic applications. This session will provide the steps to ensure Data Governance can add value and flourish within any organization. Topics that will be discussed:
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Tuesday
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Fundamentals of Data
Governance Organizations John Ladley, President, IMCue Solutions Assuming there is support, funding and the will to proceed, how do you actually build the data governance organizations' structures and procedures? Are all organizations the same? There have been shadows of data governance within many information initiatives, but real data governance requires building new procedures, reviewing employee accountability and examining organization charts. In this session we will cover:
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Tuesday
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People
and Organizational Cultural Issues in Data Governance Each organization relies on critical and often hidden aspects of human interaction to accomplish its goals. We often ignore significant communication elements of the organizational culture and its people until the messages backfire and then impede or disable our efforts. Three important aspects affect both our ability to collaborate and our ultimate success in any area of the organization, but more particularly when dealing with institutional data. This presentation identifies organizational success factors for implementing Data Governance and stewardship frameworks. We will consider three means for avoiding common pitfalls in the development and implementation strategies:
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| 2:30
- 3:30 CONCURRENT SESSIONS |
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Tuesday
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Enterprise
Information Stewardship at Michigan State University Kristopher Catton, Information Steward, Michigan State University Executive leadership at MSU had a desire to implement a suite of systems that provide more flexibility, transparency, standardization and delegation in facilitating the work of the University. This future vision eventually led to the directive for the Enterprise Business Systems Project initiative, which was to design an integrated set of administrative tools that can be used by faculty and staff to accomplish the business of Michigan State University. To aid in achieving these aspirations, an approach to data and information was chosen to make it more open and apparent called the Enterprise Information Systems (EIS) framework. The framework is currently being used in the Enterprise Business System Project and is being rolled out to the University as a whole. This presentation will cover MSU's transformation from legacy system data management to enterprise wide information stewardship including:
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Tuesday
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Governance
Prerequisites For Successful SOA Implementation
Peter Aiken, Founding Director, VCU/Data Blueprint SOA is currently not succeeding on a widespread basis. At least part of the reason is due to lack of data governance. This talk will illustrate why and what basic data governance is a necessary prerequisite to successful SOA implementation. Attendees will understand the:
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Tuesday
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Data
Governance at British Airways The Good Times and the Bad, or
How We Saved Data Governance From the Credit Crunch Paul Woodward, Enterprise Data Architect, British Airways This session will describe how British Airways has implemented Data Governance in the organization and the changes made to the program as a result of the credit crunch.
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Tuesday
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Using
Data Governance for Unstructured Data Integration to the Data
Warehouse
Krish Krishnan, President, Sixth Sense Advisors Inc. Unstructured data is a new subject area that will be integrated into the data warehouse in the coming years. There is a lot of business value in the unstructured data content, which when integrated into the structured data in the data warehouse will provide you a holistic view of your business like never before. There are a number of questions about this integration and the process itself is complex. This session will focus on how to use the data governance principles and extend the same to unstructured data integration. There are multiple areas of data governance that will come into play including MDM, CDI and others, when you talk about the current proven principles. We will also look at how to leverage the DMBOK in this process. |
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| 3:45 - 4:45 PANEL | ||||||
Tuesday
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Data
Governance Solutions…Sometimes it’s about Tools,
Sometimes it’s Not Moderator: Michael Scofield, Adjunct Faculty, Loma Linda University Panelists: Leading Data Governance Software Vendors More than even the best consultants, the major software and solutions vendors will see an even wider range of clients, and a wider range of data governance challenges. In this panel we’ll ask them to share the insights they’ve gained from these many projects and examples, including the problems that are common to everyone, as well as some of the most unique situations they’ve seen. They’ll be asked to discuss common pitfalls and points of failure, as well as common success factors. We’ll also ask them to positions themselves vis a vis each other…most of the vendors take different approaches, or address different parts of the overall governance requirements, making it confusing to compare solutions. So this panel will help put them into context for you and explain where each one is most appropriately applied, where the different solutions can be compared apples-to-apples, and where they are addressing different problems. |
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| 4:45 - 7:30 EXHIBITS AND RECEPTION | ||||||
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