Conference Sessions - June 4, 2008
| Wednesday 4 June 7:00–8:00 |
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| 8:30 - 9:30 CONCURRENT SESSIONS | ||||||||||||||||||||
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Wednesday
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Monitoring Compliance
to Data Service Level Agreements David Loshin, Knowledge Integrity Business application processing stages communicate through data exchanges, and these business application stages expect and assume that the data is always appropriate. Yet sophisticated data quality activities don’t prevent data failures; automated processes validate consistency or format compliance, but cannot automatically determine value accuracy or correctness. The upshot is that despite efforts to ensure data quality, there are always data issues requiring attention and remediation. Identifying relevant issues early in the process stream contributes to governance and control framework suited to compliance activities. This session explores the “how-tos” of establishing data controls to support data governance:
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Wednesday
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Taming the Beast: Tackling
the Common Challenges of Data Bonnie O'Neil, PPC Mike Fleckenstein, PPC You have probably heard many excuses why data governance will not work in your organization: “Nobody has any time”, “Our company is too political”, etc. This talk will tackle these challenges head on and explore what can be done to counter them so data governance can be enabled and not stopped. The attendee will learn:
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Wednesday
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Challenges of Establishing
and Maintaining Data Stewardship Anne Marie Smith, EWSolutions Addressing the challenges to implementing and sustaining a data stewardship initiative affects all members of any organization, and these effects are felt in every aspect of life in that organization. One cannot build a data stewardship program without support and participation from both business and IT, two sub-organizations with challenges both internal and cross-organizational. This presentation will outline the key points in defining and resolving some common challenges to establishing and marinating successful stewardship, the main ways to incorporate a stewardship perspective into an established culture, and some cases to illustrate the learning objectives. Topics:
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Wednesday
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Governing Master Data
at Lexmark Sreedhar Srikant, Lexmark International Carol Young, Lexmark International One of the key challenges faced by most enterprises is access to trustworthy data for making critical business decisions. Master Data Management (MDM) and Data Governance go hand in glove in creating a reliable data environment in an enterprise. While the former focuses on providing business critical quality data that is uniformly understood, interpreted and used across the enterprise, the latter provides a broad structure to steer or govern various data management practices such as MDM. Lexmark has embarked on Data Governance program to implement MDM. In our presentation we showcase the complementary aspects of Data governance and MDM along with our approach in implementing MDM solutions & Data Governance program at Lexmark.
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| 9:45 - 10:45 CONCURRENT SESSIONS | ||||||||||||||||||||
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Wednesday
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Navigating to the future
of Data Governance within your organization Steve Zagoudis, Federal Home Loan Bank of Atlanta In today’s modern transportation we take for granted the ability for an airplane or cargo ship to navigate thousands of miles across oceans and reach its desired destination. Navigation systems on modern cars can pinpoint a location within 50 feet. Just as navigational aids have evolved over the years, so have the techniques behind effective Data Governance. Organizations can deploy ‘navigational aids’ based on business processes and technology to implement effective Data Governance that will protect critical data assets and move the company towards content integrity and enhanced information utilization. This presentation will provide techniques for an organization to assess its current state of Data Governance, define a desired future outcome, and provide metrics for monitoring progress along its journey. The Data Governance program for the Federal Home Loan Bank of Atlanta will be used as a model for navigating to the future of Data Governance within your organization. This presentation will focus upon:
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Wednesday
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Governance Risk and Compliance Anthony Tarantino, IBM Today's business leaders tell us that in order to innovate and grow their businesses, they seek solutions to improve strategic alignment, reduce risk, and streamline controls across their IT environments. They are looking at governance, risk and compliance solutions as a way to:
While business leaders share common objectives, their specific needs and priorities vary. In this session we will discuss:
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Wednesday
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Data Management Methodology
(DMM), A Practical Approach To Enterprise Data Governance Majd Izadian, Cisco Systems Developing a single standard way of defining, governing, and threading the Channels Partner data in business processes across a company has always been a challenge. By leveraging Data Management Methodology (DMM) and collaborating with a team of over 70 stakeholders, and support from Sr. Executives, a standard definition for Channels Partner was reached, and a Trustee and Steward were identified. Using DMM, the "AS-IS" and "TO-BE" states of data were analyzed, and a roadmap was defined. As a result, governance and architecture has improved the way we work with this data. This presentation describes the process and the steps that were taken to accomplish this at Cisco Systems, as well as lessons learned. Data Management Methodology (DMM) is a practical process that addresses the following questions for each data domain:
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| Wednesday
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Implementing
Data Governance Organizations are finally beginning to understand the connection between their data and their business. This is driving organizations to make investments in the people, policies and technologies needed to better manage data. With this newfound emphasis on managing data assets, data governance has risen to the forefront as one of the major initiatives within the data management community and within organizations in general. Having the right plan for the structure of your organization is critical to success, as is having the motivation and support within the organization to get it going. In this co-presentation, Jill Dyche of Baseline Consulting will discuss how to approach data governance in a de-centralized organization while Tony Fisher, CEO of DataFlux, will discuss the necessary steps to justify, plan and implement a data governance initiative. |
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| 11:00 - 12:00 CONCURRENT SESSIONS | ||||||||||||||||||||
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Wednesday
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How To Identify Regulated
Data David Schlesinger, Metadata Security & Compliance At least three business groups believe they have the duty to govern data: Information Security, Data Administrators, and Business Analysts. They are all correct, but speak using different languages and work at different levels of the Zachman Framework. This session will illustrate a proven method to bring them together. We will show how they speak at cross purposes even while using the same words. We also show how often data governance is needlessly complicated and may be radically simplified. We will deconstruct the process required, and show how it can be implemented. Topics included:
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Wednesday
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Motivation and Recognition
in Data Governance: a Case Study from Olmsted Medical Center Mike Meier, Olmsted Medical Center Gwen Thomas, Data Governance Institute For young programs such as the one at Olmsted Medical Center, there are no clear governance-related career paths. Rather, program participants are asked to be "good corporate citizens" and to support efforts that are best for the enterprise -- even though support may result in inconvenience, political pain, and project complications. How do you motivate governors, stakeholders, and stewards? Ho do you convince them to support your efforts? How do you ensure that their contributions are recognized by those who matter most? In this session, we look at a company whose efforts are still a work-in-progress, lessons learned from more mature organizations, and tools you can adapt to your own efforts. Session attendees will learn:
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| Wednesday
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Data
Governance – the Hub of the Kentucky Enterprise Data Architecture Data Governance is a complex issue with no easy solutions. Implementing a program in support of data governance requires a clear understanding of what is in scope and what will resources will be involved. This session will be a case study of the implementation of Data Governance in the Commonwealth of Kentucky as a component of the Kentucky Enterprise Data Architecture (KEDA). Attendees will be offered the opportunity to jump start their own initiatives with actual deliverables and lessons learned from more than 2 years of implementation and experience. |
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| 1:00 - 2:00 CONCURRENT SESSIONS | ||||||||||||||||||||
Wednesday
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The Power
of Using Flexible Data Models for Master Data Management Systems Len Silverston, Universal Data Models Information requirements for master data management systems change over time. For example, in typical customer data integration efforts, there are new ways to categorize customers and new ways of following up with customers. In product master data management effort, there are new ways of managing product information and new types of features that arise over time. New information laws often require new processes and new types of master data. How can we design a master data management system with a solid, stable foundation to avoid huge costs and time when information requirements change? In this presentation, Len Silverston will share patterns that can be used to establish flexible data models for master data management systems, thus allowing for adaptability when information requirements change. Based upon many years of research and experiences implementing these types of patterns, he will share examples of modeling choices ranging from very specific styles of modeling to more flexible and abstract styles of data modeling for master data management solutions. You will learn:
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Wednesday
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Using Data Governance
to Power More Effective IT Initiatives Michele Koch, Sallie Mae Scott Gidley, DataFlux Data governance is increasingly recognized as a critical component to managing enterprise data. But there is still considerable discussion about the best ways to achieve data governance – and how it can affect the implementation and management of data-centric applications within the business. This presentation will discuss implementing a data governance program using data quality technology. The session will also explore how data governance combines people, processes, and technology to create a positive and significant impact on the business by establishing a standard set of business rules to guide current and future IT engagements. Participants will learn:
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| Wednesday
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Captain
Hook's Method to Shanghai How to Get INFOSEC People into Supporting Data Governance David Schlesinger, Security Architect, Metadata Security & Compliance Avast me hearty! Information Security (INFOSEC) folk are busy fighting off external attacks, but you can leverage their skills for Data Governance. This session will teach you to speak their strange language, understand their way of looking at the world, and use this skill to show them they have interior risks to fight as well. The security folks at your firm have amazing tools and surprising ways of looking at what happens on the network in order to repel unauthorized Pirates. If you can speak to them in their terms and provide clearly defined compliance policies, they can help enforce data governance, and report on all these efforts to ensure Data Regulatory compliance. Shiver me timbers, but this will please the auditors! Furthermore, security folk often have ways to automate compliance enforcement! They can make those who are noncompliant walk the plank. This will reduce costs as well as reduce risk. So come aboard our journey as we sail toward the strange and mysterious land of INFOSEC. Arrrrr. |
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| 2:15
- 3:30 KEYNOTE PANEL |
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| Wednesday
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Data Governance Lessons
Learned This panel discussion will focus on real life experiences of practitioners in starting and deploying data governance and data stewardship programs. Topics include:
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