Conference Sessions - June 3, 2009
| Wednesday 3 June 7:30–8:30 |
Registration and Continental Breakfast | |||||||||||||||||||||||
| Wednesday 3 June 7:30–8:15 |
Successful
Data Management Through Metadata Governance Meta-Data Professional Organization Meeting Peter Aiken, MPO Advisor Jim Viveralli, VP of Operations, MPO Join us for this early morning session and meet the MPO and learn about metadata governance. Peter Aiken, MPO Advisor and award-winning, internationally
recognized thought leader in the area of organizational data
architecture, metadata and engineering will discuss Topics include:
The Meta-Data Professional Organization (MPO) is a non-profit international association comprised of business and IT professionals in all areas of meta-data practice. The MPO brings together individuals with interests, expertise, or hands-on experience in meta-data use from all areas of private and public enterprise throughout the world and seeks to disseminate technical and professional information to meta-data practitioners of all levels of experience. This meeting is open to all conference attendees. You do not need to be a member of the MPO to attend this meeting. For further information about the MPO please visit www.metadataprofessional.org. |
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 8:30
- 9:30 CONCURRENT SESSIONS |
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Wednesday
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Database
Auditing: Who Did What to Which Data When... and How? The combination of increasing government regulation and the need for securing corporate data has driven up the need to track who is accessing data in our corporate databases. This presentation discusses these drivers as well as presenting the requirements for auditing access to data stored in database management systems. The goal of this presentation is to review the regulations impacting the need to audit, and then to discuss in detail the kinds of things that may need to be audited, along with the pros and cons of several ways of accomplishing this. With the many data breaches that have come to light over the past few years, database auditing is becoming an essential component of organization's data management and data protection strategies... but few understand the issues in-depth and the pot holes that can be encountered if database auditing is implemented inappropriately. |
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Data Governance at
a Large, Non-profit Organization-Year 2 Pablo Riboldi, Information Governance Manager, LDS Church Over two years ago the Information and Communications Systems Department at the Church of Jesus Christ of Latter-day Saints (LDS Church)-definitively a large, non-profit organization-decided to hire an Information Governance Manager to implement a Data Governance program. This is the uncensored story of the adventures and misadventures of that brave (or naïve) soul during his second year on the job. Some of the chapters of this saga include:
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Data Governance in
the Cloud-Notes from the Field Katherine Goodier, Chief Ontologist, NCI Cloud computing platforms run on the Web and leverage the power of other websites to implement features that would never be available just through a single platform alone. This extensible technology poses unique challenges for data governance. Cloud computing programmers use HTML and JavaScript skills to mash up Web mapping services from the web with their own data, and then place this functionality in their own application. Implementations that use this kind of composite application feature exponentially increase the complexity for data governance. This presentation will provide field-tested solutions for individuals who are interested in abandoning the need to buy, build, and maintain their own databases and IT infrastructures in order to distribute and run their applications even in highly regulated environments. On-demand, cloud computing platforms provide a compelling
alternative to expensive database infrastructures that
are hard for businesses to ignore. Part of the |
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State Farm Insurance
- The Evolution of Data Governance Michelle McNamee, Manager, State Farm Insurance Jim Feldkamp, Director, State Farm Insurance State Farm is currently working to implement a federated data governance structure. Historically, data governance and stewardship within the organization emerged along product lines and individual business areas. The focus is now on formalizing roles, responsibilities and processes to facilitate collaboration across the enterprise. The overall vision of State Farm's enterprise data strategy is to improve operational agility and business intelligence (BI). To effectively compete on analytics, State Farm has expanded their governance framework to include enhancing the existing business intelligence environment. Efforts are on building a BI network, sharing best practices and oversight of BI tools. The presentation will provide an overview of State Farm's enterprise data strategy with a focus on:
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| 9:45 - 10:45 CONCURRENT SESSIONS | ||||||||||||||||||||||||
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The Long and Windy
Road to Data Governance - Through MDM
Dan Dechichio, Solution Architect, Raymond James & Associates, Inc. This presentation discusses Raymond James & Associates, a full service financial services company’s journey into MDM and data governance. Topics include:
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Setting up Enterprise
Data Governance in a Process-Centric World Les Marsyla, Enterprise Information Architect, Southern California Edison Our organization is undergoing a major change in its information technology approach; from a 40-year history of developing and maintaining highly specialized, siloed applications to an environment of integrated information management and business process enablement. This is causing the enterprise to take a serious look at how data and information is viewed and managed. We can no longer look at individual business units as data 'owners' who are allowed to hold their data tightly and share it sparingly. We are addressing the cultural, business and technical challenges that surround the concepts of process ownership and data stewardship. Specific topics are:
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Wednesday
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Imported Data: It
Must be Governed Also! Michael Scofield, Adjunct Faculty, Loma Linda University Not all the data which must be governed comes from within the enterprise. Much of it is imported (or exported). Bringing data in from external organizations often involves architectural and political discontinuities. There are at least 90 potential points of failure when importing data. If your business depends upon this external data (which you usually cannot control), you need to establish a different type of governance or monitoring of that data flow. Even if you cannot control that external source, you can control what you accept into your environment. You will learn:
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Wednesday
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The
Need for Data Governance in Implementing Integrating Architectures This presentation will demonstrate the need for a Data Governance program within an Integration Architecture project such as a data integration (BI, ETL) or application integration (SOA), and also explain the convergence of SOA and BI projects. With the advent of the need for architectural integration projects arising from the business and the corresponding requirement to integrate the data, we will examine the challenges and best practices, and discuss how the industry is observing a convergence among architectural integration projects (BI & SOA). Attendee's will learn about:
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| 11:00
- 11:30 Special Interest Groups |
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How Insurance Companies
Are Addressing Data Governance James Viveralli, Data Architect, Erie Insurance Group This Special Interest Group meeting will focus on data governance in the insurance industry. This session will present some of the issues insurance companies are encountering in implementing data governance and then open the floor for discussion on how these issues can be overcome in order to facilitate data governance and overall good data management practices in the insurance industry. |
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Risk
Management and Compliance - How MDM Can Help Join us for a discussion on Enabling Risk and Compliance management with MDM solutions. The focus of this discussion is how enterprises are successfully mitigating risk on corporate data and ensuring compliance with all regulations by adhering to a MDM approach. We will discuss Manufacturing and SCM as example areas. |
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Building the Business Case
for Data Governance Danette McGilvray, President, Granite Falls You understand the importance of data governance; but you seem to be the only one. Efforts to start or continue data governance are meeting resistance. What do you need? You need to build the business case for data governance. Where do you turn to figure out this seemingly daunting task? One way is to learn from the experiences of others and to share your own stories and concerns - how to successfully create a business case to launch a data governance program. After all, no one will invest in any initiative unless it is clear there will be a benefit to the organization. This facilitated discussion will give participants the chance to both share their own successes and learn from others. Come join us a highly-interactive dialogue with those who know first-hand the effort required to win support within their organization to venture into the world of data governance. |
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Sharing Data Governance
Templates Pablo Riboldi, Information Governance Manager, LDS Church In this special interest group, Pablo Riboldi will lead a discussion on the templates and Data Sharing Agreements, he developed at his organization. Join us and network and share ideas on developing data governance check lists, matrices and templates. |
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| 12:30 - 1:30 CONCURRENT SESSIONS | ||||||||||||||||||||||||
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Case
Study: Business Metadata Stewardship and Governance using a
Metadata Repository Pete Rivett, CTO, Adaptive As the volume and variety of information managed by organizations continues to increase at an exponential rate, it becomes more vital for both business and IT to have a common understanding of what the information means and how it is, or could be, used to provide business value. A major financial organization saw the value in moving beyond the typical standalone Business Glossary, to a full implementation as part of its web-based metadata repository - providing business definitions linked directly to the technical models of the information resources (including business intelligence reports). Furthermore they wanted to achieve an automated Governance process for what is becoming key business information in its own right. It is the innovative Governance aspect of the project that will be the focus of this presentation, which will be of interest to anyone trying to go beyond Stewardship and apply Governance to metadata. This joint presentation will cover:
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Data Stewardship:
Pay Now or Pay Later When It Will Cost You More Eithne Reichert, Project Director, Saskatchewan Health Thierry Roullier, Director of Product Management, Initiate Systems Cost/benefit trade-off decisions must be evaluated to ensure that your data stewardship program will fit within budget constraints. However, careful consideration must be given to trade-offs that may positively or negatively impact the program in the long run. This discussion will explore common questions for development and implementation of data stewardship programs, and will address the questions:
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Concrete
Guidelines for Overcoming Tough Data Governance Implementation
Challenges Thomas Ravn, DM Practice Director, Platon US This session goes beyond the introductory stuff and shares key lessons learned and concrete guidelines for overcoming tough data governance implementation challenges. When an organization embarks on a journey to get in control of their critical data, data governance is a key concept. We've all heard how important it is to get executive sponsorship and to get the business in the driver's seat when doing this. But how do you actually go about defining a good data governance model? And how do you properly integrate your data management processes with your other business processes? And is there such a thing as a best practice data governance organization? |
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| 1:45
- 2:45 CONCURRENT SESSIONS |
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Sun Microsystems,
Enterprise Data Governance Story Cheryl Landwehr, Program Manager Enterprise Data Governance, Sun Microsystems This presentation discusses Sun Microsystems' 24-month journey in defining and implementing an Enterprise Data Governance (EDG) program. While our journey is far from complete, we have a number of practical, real-time examples and experiences to share. Areas that will be discussed in this session include:
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It's
the Principle of the Thing: Impacting Data Governance with
Information Architecture Principles
Jayne Dutra, Enterprise Information Architect, JPL/NASA The talk will explain how enterprise-wide information management principles are developed and how they can be used to improve implementations of data governance. Enterprise Information Architecture Principles can be effectively used in your organization to impact decision making, encourage positive behavior, and bring about meaningful change. Learn the basics about IA principles including:
A case study regarding NASA's Jet Propulsion Laboratory
and the use of IA principles will illustrate some of
the lessons learned over time as the concept of IT principles
and the maturation of IT governance have occurred in
tandem. |
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Information
Governance for Microsoft SharePoint
Andy Han, VP, NextLabs Information governance is critical to optimize the value of business information. We examine the challenges of information governance in SharePoint environments, and reveal four of the most common Information Governance objectives for SharePoint deployments, through examination of the business problems and a presentation of case studies. Finally, we look at methods for achieving these objectives. The audience will recognize the potential costs and issues in information governance in the deployment of SharePoint, or any of various solutions that support collaboration. They will understand and recognize the nature of these challenges that may be brewing in their installations. They will distinguish what SharePoint governance is, what Information Governance for SharePoint addresses, how information governance is critical to the value of information in their business, and how a lack of governance can undermine the business value of information. They will understand and prioritize key objectives in SharePoint Information Governance, in particular the importance of Policy-Driven Authorization to Applications and Data (Entitlements), Protection for Intellectual Property, Reduced Cost of SharePoint Audits, and Visibility and Management of Information Lifecycle. Finally, they will be able to apply their learning's and insights to evaluate their particular SharePoint deployments. |
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| 3:00 - 4:00 KEYNOTE PANEL | ||||||||||||||||||||||||
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KEYNOTE
PANEL: Data Governance Lessons Learned Panelists: This panel discussion will focus on real life experiences and challenges encountered by practitioners in starting and deploying data governance and data stewardship programs. Topics include:
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International
Association for Information and Data Quality (IAIDQ) Meet-Up
An hour to meet an IAIDQ Director, find out about the various initiatives that the Association is leading, meet other members attending the conference, and share your passion for information and data quality with other passionate people. This meeting is open to all conference attendees. Attendees will receive a copy of the IAIDQ's Data Governance Survey conducted in 2007/2008 in association with University of Arkansas at Little Rock. |
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