Conference Sessions - June 4, 2008

Wednesday
4 June
7:00–8:00
Continental Breakfast
8:30 - 9:30 CONCURRENT SESSIONS

Wednesday
4 June
8:30–9:30

 

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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:

  • Differentiating data quality from data control
  • Data controls and process controls
  • Determining the protocols and procedures needed to discover issues early in the process
  • Instituting data issues tracking
  • Developing and instituting data quality service level agreements (SLAs)
  • Techniques for monitoring and reporting control and SLA compliance
Speaker:
David Loshin

David Loshin
President
Knowledge Integrity

To Speaker's BIO

Wednesday
4 June
8:30–9:30

 

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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:

  • Common excuses
  • Political roadblocks
  • Organizational “issues”
  • Strategies for overcoming challenges
  • Structuring data governance for success
Speakers:
Bonnie O'Neil

Bonnie O'Neil
Senior Principal Data Architect
PPC

To Speaker's BIO

   
Mike Fleckenstein Mike Fleckenstein
MDM Practice Leader
PPC

To Speaker's BIO

Wednesday
4 June
8:30–9:30

 

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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:

  • Data stewardship: why it is essential
  • Role of stewardship in successful information management and successful 21st century enterprises
  • Major challenges encountered by organizations in instituting and sustaining stewardship: the problem, the solution, the result
  • Case studies of successful and unsuccessful companies in stewardship efforts
Speaker:
Anne Marie Smith

Anne Marie Smith
Director of Education
EWSolutions

To Speaker's BIO

Wednesday
4 June
9:45–10:45

 

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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.
  • Key steps in starting Data governance program
  • Data quality, Metadata, Master Data - how do they all fit together
  • Master data processes
  • Master data management implementation approach
Speakers:
Sreedhar Srikant

Sreedhar Srikant
Enterprise Data Architect
Lexmark International

To Speaker's BIO

   
Carol Young Carol Young
Enterprise Data Architect
Lexmark International

To Speaker's BIO
9:45 - 10:45 CONCURRENT SESSIONS

Wednesday
4 June
9:45–10:45

 

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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:

  • Providing a roadmap from startup to implementation of a Data Governance program
  • Actively engaging the business units, technology, compliance, risk, legal, vendors, and customers in a robust Data Governance function
  • Understanding the impact of a Data Governance maturity or capability model
  • Solutions for taming the ‘metadata beast’
  • Outlining the value and techniques of lineage reporting and its impact on Enterprise Architecture
Speaker:
Steve Zagoudis

Steve Zagoudis
1st VP/Director Information Architecture and Service Delivery
Federal Home Loan Bank of Atlanta

To Speaker's BIO

Wednesday
4 June
9:45–10:45

 

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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:
  • Maximize business value of investments
  • Clearly delineate chains of authority and accountability
  • Minimize risk to the business
  • Manage exploding IT complexity and demand for IT projects
  • Demonstrate compliance with regulations, contracts, IT SLAs and other policy
  • Better measure performance

While business leaders share common objectives, their specific needs and priorities vary.

In this session we will discuss:

  • Business insight: Innovation and optimization at intersection of organizational strength and market opportunity
  • Risk analysis: Proactive exploration of weaknesses and possible mitigation approaches
  • Policies & Procedures: Formalization and distribution of process frameworks
  • Security & Controls: Process enforcement and integrity
  • Outcomes demonstration: Measurement of performance & compliance achieved
Speaker:
Anthony Tarantino

Anthony Tarantino
Senior Advisor IBM Governance, Risk and Compliance Center of Excellence
IBM

To Speaker's BIO

Wednesday
4 June
8:30–9:30

 

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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:

  • What is the business definition and intent of any data object in a company?
  • How is this data created through business processes?
  • Where is this data being created, enriched, and used?
  • Why is this data being created and what policies apply to it?
  • Who creates, enriches, and uses this data. Who should govern it?
Speaker:
Majd Izadian

Majd Izadian
Manager, Data Quality & Governance
Cisco Systems

To Speaker's BIO

Wednesday
4 June
9:45–10:45

 

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Implementing Data Governance
Tony Fisher, DataFlux
Jill Dyche, Baseline Consulting


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.
Speakers:
Tony Fisher

Tony Fisher
President and CEO
DataFlux

To Speaker's BIO

   
Jill Dyche Jill Dyche
Partner and Co-founder
Baseline Consulting

To Speaker's BIO
11:00 - 12:00 CONCURRENT SESSIONS

Wednesday
4 June
11:00–12:00

 

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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:

  • Outline requirements for data protection and compliance
  • Understand the foreign languages of our colleagues
  • Develop and share a common taxonomy
  • Decomposition of security and regulatory requirements
  • Link your taxonomy to security and regulatory actions
  • Build security and regulatory compliance into data definitions
  • Work data definitions into existing application management activity
  • Automate every action that does not require human discretion
Speaker:
David Schlesinger

David Schlesinger
Security Architect
Metadata Security & Compliance

To Speaker's BIO

Wednesday
4 June
11:00–12:00

 

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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:

  • The single most important attribute a program leader can exhibit
  • The 3 Cs: three classes of efforts every program proponent must address
  • The many hats you'll wear as you help participants practice "out-of-the-box" benefit analysis
  • Two tools you can employ to better understand your stakeholders' perspectives and motivations
  • Three tools to help get them to say yes and to obtain for them (and you) well-deserved recognition in your organization
Speakers:
Mike Meier

Mike Meier
Manager, Data Resources
Olmsted Medical Center

To Speaker's BIO

   
Gwen Thomas Gwen Thomas
President
Data Governance Institute

To Speaker's BIO

Wednesday
4 June
11:00–12:00

 

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Data Governance – the Hub of the Kentucky Enterprise Data Architecture
Glenn Thomas, Director of IT Governance, Kentucky’s Commonwealth Office of Technology


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.
Speaker:
Glenn Thomas

Glenn Thomas
Director of IT Governance
Kentucky’s Commonwealth Office of Technology

To Speaker's BIO

1:00 - 2:00 CONCURRENT SESSIONS

Wednesday
4 June
1:00–2:00

 

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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:

  • Specific examples of very common patterns, such as ways to categorize data as well as manage states, that are needed for data modeling within master data management solutions
  • Various ways to model these patterns from specific styles to more abstract styles
  • The pros and cons of modeling these patterns different ways
  • Examples of how other master data management efforts have implemented flexible solutions and gained from their use
Speaker:
Len Silverston

Len Silverston
President
Universal Data Models

To Speaker's BIO

Wednesday
4 June
1:00–2:00

 

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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:

  • Techniques used in a real-world data governance program
  • How data governance programs can utilize data profiling and data quality technologies
  • How to document and enforce controls on data integrity throughout the data lifecycle
Speakers:
Michele Koch

Michele Koch
Senior Manager Data Administration
Sallie Mae

To Speaker's BIO

   
Scott Gidley Scott Gidley
CTO and Co-Founder
DataFlux

To Speaker's BIO

Wednesday
4 June
1:00–2:00

 

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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.

Speaker:
David Schlesinger

David Schlesinger
Security Architect
Metadata Security & Compliance

To Speaker's BIO

2:15 - 3:30 KEYNOTE PANEL

Wednesday
4 June
2:15–3:40

 

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Data Governance Lessons Learned
Moderator:
Len Silverston, Universal Data Models
Panelists:
Michele Koch, Sallie Mae
Janine Joseph, Blue Cross and Blue Shield of MN
Majd Izadian, Cisco Systems
Steve Zagoudis, Federal Home Loan Bank of Atlanta
Glenn Thomas, Kentucky’s Commonwealth Office of Technology


This panel discussion will focus on real life experiences of practitioners in starting and deploying data governance and data stewardship programs.

Topics include:

  • Getting started with data governance and stewardship
  • Getting buy in
  • Dealing with political and cultural issues
  • Pitfalls to avoid

Moderator:

Len Silverston Len Silverston
President
Universal Data Models

To Speaker's BIO

Panelists:

Michele Koch

Michele Koch
Senior Manager Data Administration
Sallie Mae

To Speaker's BIO

   
Janine Joseph Janine Joseph
Principal Data Steward
Blue Cross and Blue Shield of MN

To Speaker's BIO
   
Majd Izadian Majd Izadian
Manager, Data Quality & Governance
Cisco Systems

To Speaker's BIO
   
Steve Zagoudis Steve Zagoudis
1st VP/Director Information Architecture and Service Delivery
Federal Home Loan Bank of Atlanta

To Speaker's BIO
   
Glenn Thomas Glenn Thomas
Director of IT Governance
Kentucky’s Commonwealth Office of Technology

To Speaker's BIO