Tutorials - June 1, 2009

Monday
1 June
7:30–8:30
Registration and Continental Breakfast
8:30 - 11:45 MORNING TUTORIALS

Monday
1 June
8:30-11:45

 

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Communication for Commitment 
Danette McGilvray, President, Granite Falls
Anne Purcell, Data Governance Program Manager

When you ask people to support data governance do they say "yes," but you can't get momentum? Are you getting words, but no action? And when you ask for money, time, or resources, do you get the brush-off? They say it's important, but it's never a priority. What you really need is commitment! A successful data governance initiative requires commitment from many levels. Sponsors, stakeholders, business process owners, executives, project team members, stewards, and technology professionals all have a role to play. Communication is vital in gaining their support. Often, they know data governance is important, but they have a hard time visualizing how it works or how it applies to them. Join us to learn about communication strategies that have been built and executed in real-life situations. See actual examples (good and bad) and learn effective communication techniques to further your data governance goals by:
  • Communicating through visuals
  • Identifying your audiences
  • Clarifying the call to action
  • Overcoming barriers and resistance
  • Securing commitment and follow-up
  • Using various communication methods
Speakers:
Danette McGilvray

Danette McGilvray
President
Granite Falls

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Anne Purcell Anne Purcell
Data Governance Program Manager

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Monday
1 June
8:30-11:45

 

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Data Governance 101 
Gwen Thomas, President, Data Governance Institute

If you're relatively new to Data Governance and Stewardship - as a leader, participant, or stakeholder - then this is the tutorial for you. We'll level-set on concepts and terminology that will be explored throughout conference sessions, and we'll cover the basics so you can put what you're hearing into context.

In this session, we'll provide an overview to:
  • Typical missions and goals of Data Governance and Stewardship programs
  • Pros/cons of business-led versus IT-facilitated programs
  • Common areas of emphasis, and why programs focusing on compliance may look/feel different than ones supporting data integration and other needs
  • Basic organizational structures, roles, and responsibilities
  • Coordination points with Data Architecture groups, Data Quality teams, Auditing/Compliance officers, and other key data stakeholders
  • The role of a Data Governance framework and a Data Governance office in facilitating and coordinating efforts
  • Key Data Governance and Stewardship processes.
Speaker:
Gwen Thomas

Gwen Thomas
President
Data Governance Institute

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Monday
1 June
8:30-11:45

 

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Data Governance for Business Leaders 
John Ladley, President, IMCue Solutions

Most of the burden for ensuring the success of data governance falls on business users of information. Many information management and governance initiatives originate in business areas. However, educating business people to the fundamentals of data governance is often left to the last minute, or is treated too lightly so that many enter the realm of their new duties with only a conceptual understanding. Then they must learn to be stewards, owners, and change agents while still accomplishing their day-to-day responsibilities. This tutorial will cover the basic concepts of data governance and lay out the essential steps for business participants to understand how to make governance a successful business project.

Attendees will leave with a set of skills to help with:

  • Defining what data governance means to their organizations
  • Defining what a "day in the life" looks like
  • Designing a sustainable governance program, including;
    • A relevant business case
    • Culture change management
    • Communications with business Leadership
    • On going measures
    • Designing the Data Governance team and road map
Speaker:
John Ladley

John Ladley
President
IMCue Solutions

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Monday
1 June
8:30-11:45

 

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Governance of the Enterprise Production Data Landscape 
Malcolm Chisholm, President, AskGet.com

While it is acknowledged that data is a valuable corporate asset, the production data landscape is largely unknown for nearly all enterprises. This means that governance is piecemeal at best, but the reality is that it is often oriented to approaches that avoid contact with actual physical data. This tutorial examines the nature of the production data landscape and describes a series of governance approaches that will allow an enterprise to successfully manage its physical data assets. Information knowledge management is presented as a foundation for governance of the landscape, and approaches to stewardship are describes to drive up quality in the data production process. Additionally, the tutorial describes how to interact with users who have a profound knowledge of the data itself - data content managers - who must participate in the governance process. There is also a focus on control of architecture and design, which are needed to ensure that the production data landscape can adapt to changing business requirements.

Attendees will learn:

  • What the data landscape is, its important properties, and relevance to governance.
  • How to develop a program for information knowledge management as a foundation for governance.
  • Promoting and maturing the data stewardship competency throughout the enterprise.
  • The role of standards in managing physical data values.
  • Working with data content managers and meeting their governance requirements.
  • The organization and infrastructure needed for governance of the data landscape.
  • Architecture, design, and the high level governance of the data landscape.
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

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Arrow12:00 - 12:30 GOVERNANCE SOLUTIONS

Monday
1 June
12:00–12:30

 

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Why Data Quality is Critical to Your MDM Program
Dan Soceanu, Product Marketing Manager, DataFlux


Why Data Quality is Critical to Your MDM Program
  • The success of your business hinges upon knowing your customer and products.
  • An MDM program allows you to build a single, accurate view of enterprise data, providing a trusted perspective into customers and products.
  • What happens if that view isn’t built on accurate data? The information you extract will be flawed and poor business decisions can be made.
  • This conference session will address the importance of focusing on data quality as the foundation of a successful MDM program – why you need to put a “Q” before your MDM.
Speaker:
Dan Soceanu

Dan Soceanu
Product Marketing Manager
DataFlux

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Monday
1 June
12:00–12:30

 

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Data Governance: How to Manage the Ongoing Creation, Collection, and Maintenance of Data for Integrated ERP Systems
Steve Yeager, Data Governance Engagement Partner, BackOffice Associates, LLC


Global corporations and even companies operating nationally struggle with managing the ongoing creation, collection, and maintenance of their data for their integrated ERP systems. This session helps you determine if there is a logical business process for master data governance and how to apply it.   Examine the Passive and Active Data Governance applications and methodologies such as DataDialysis® and cApps™ for governing the creation of master data in SAP, including automated workflow, scenarios, and rules.  Find out why solving data governance issues is not a technology problem, and get tips on how to gain a better understanding of how to overcome the complexities of building an effective data governance organization.
Speaker:
Steve Yeager

Steve Yeager
Data Governance Engagement Partner
BackOffice Associates, LLC

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1:30 - 4:45 AFTERNOON TUTORIALS

Monday
1 June
1:30–4:45

 

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Defining a Balanced Scorecard for Data Governance 
C. Lwanga Yonke, Independent Analyst

How can a Data Governance leader a) convincingly demonstrate the value of Data Governance, b) align Data Governance activities with business goals and c) clearly define success and incent the right behaviors? These are fundamental challenges and opportunities most Data Governance professionals struggle with routinely.

A balanced scorecard provides Data Governance leaders a powerful method to achieve these goals and more. Whether focusing on data quality, compliance and risk, MDM, metadata management, etc., individually or as part of a comprehensive approach to Data Governance, a well-defined balanced scorecard provides actionable insights about the most important features of the Data Governance strategy and suggests the desired interventions needed to improve results.

Participants in this tutorial will learn how to define a scorecard that is rooted on vision and strategy and that balances four essential components of effective performance: financial, internal business processes, learning and growth, and customer focus. Several real-life examples are used to illustrate concepts.

This tutorial will be beneficial to those seeking to enhance the value and effectiveness of their Data Governance function. Participants will leave equipped with a robust technique to develop or polish their Data Governance strategy and turn it into effective action.

Topics include:

  • Identifying the vital few metrics
  • Linking metrics to organizational goals and business strategy
  • Establishing the right accountabilities
  • Metrics as the foundation for improvement
  • Avoiding the most common measurement traps
  • A checklist for metrics quality
Speaker:
C. Lwanga Yonke

C. Lwanga Yonke
Independent Analyst

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Monday
1 June
1:30–4:45

 

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10 Options for Structuring Your Data Governance Program 
Gwen Thomas, President, Data Governance Institute

From the perspective of 30-thousand-feet, most Data Governance & Stewardship programs look similar. But take a closer look, and you'll see significant differences. Some have only one council, while others have two or three with hierarchical responsibilities. Some involve strategic leaders on a week-to-week basis, while others rely on contributions by operational-level managers and involve senior leadership only occasionally. Some employ Enterprise Data Stewards, some have multiple levels of Stewards with varying responsibilities, and still others shy away from even using the stewardship label at all.

Using case studies from mature Data Governance programs, we explore ten different Data Governance and Stewardship organizational patterns and map them to the environments in which each can be successful. Whether you're starting a program, expanding one, or conducting an annual "check-up," this highly-interactive workshop will help you identify the factors that make a difference between getting work done efficiently and being bogged down in bureaucracy.

Participants will learn:

  • How to choose whether Business or IT should "own" the program - and who should facilitate it
  • The role of a Data Governance Office or its equivalent
  • Organizational patterns that work best for programs focusing on risk and compliance efforts
  • Stewardship options for young and small programs, as well as ones for multi-nationals, businesses with competing lines of business, and highly-matrixed organizations
  • Patterns that work best in consensus cultures and those that are welcomed in command-and-control environments
  • Options for scaling a program as your stakeholders' appetite for complexity grows
  • How to structure your program and processes to fill a vacuum if your organization doesn't have an updated Data Strategy
Speaker:
Gwen Thomas

Gwen Thomas
President
Data Governance Institute

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Monday
1 June
1:30–4:45

 

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Data Protection - What Executives and Managers Need to Know 
David Schlesinger, Security Architect, Metadata Security

Along with a difficult economy, business faces a rising tide of malicious attacks, scattered data repositories, lost laptops, and more data regulations; yet sensitive information protection is often an afterthought when designing IT systems and business processes. This increases the cost of doing business and opens up liability potential.

Improving data compliance and security cost-effectively requires building strong governance principles into IT projects, data transmission, and each business process. By integrating this into early business planning your compliance can be increased, costs reduced, and, usually, business activity accelerated. What's not to like?

The tutorial will:

  • Discuss new data regulations and explain what regulators really want to happen.
  • Outline process design rules that reduce data loss incidents.
  • Learn how to identify potential threats and how to best neutralize them.
  • Uncover the governance gaps between business silos and how to close them.
  • Show how to leverage stakeholder knowledge to assess and prioritize all your risks.
  • Most importantly, how to actively engage your business colleagues so that they willingly make regulatory compliance a part of their ongoing business process and IT activity.
Speaker:
David Schlesinger

David Schlesinger
Security Architect
Metadata Security

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Monday
1 June
1:30–4:45

 

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Master Data Management and Data Governance 
David Loshin, President, Knowledge Integrity

This tutorial provides an overview of MDM and then explores the direct dependence of master data management on data governance. Attendees will learn about:
  • The MDM value proposition
  • Master data management basics
  • Master data requirements analysis
  • Data quality assessment and establishing enterprise data quality rules
  • Roles and Responsibilities
  • Operational data governance for MDM
  • Data quality metrics and master data quality performance reporting
Speaker:
David Loshin

David Loshin
President
Knowledge Integrity

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Arrow5:15 - 6:30 SPECIAL SESSION

Monday
1 June
5:15–6:30

 

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Panel: New Challenges in Data Governance and Data Protection

Panelists:

Malcolm Chisholm, President, AskGet.com
Gwen Thomas, President, Data Governance Institute
John Ladley, President, IMCue Solutions
Danette McGilvray, President, Granite Falls
C. Lwanga Yonke, Independent Analyst
David Schlesinger, Security Architect, Metadata Security
Robert S. Seiner, President and Publisher, KIK Consulting & Educational Services and
The Data Administration Newsletter (TDAN.com)

Moderator:
David Loshin, President, Knowledge Integrity


According to the latest statistics, data breaches in 2008 increased 47% from 2007. Organizations will need to handle data in a world that will become more highly regulated then it is today. This panel of experts will discuss this and other challenges data governance professionals will need to address.

Topics include:

  • Data governance and the financial down turn
  • Impact of cloud computing and governance
  • SaaS and governance
  • Federated data governance-sharing of data between institutions
  • Addressing identity theft
  • Handling data protection and compliance legislation
Panelists:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

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Gwen Thomas

Gwen Thomas
President
Data Governance Institute

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John Ladley

John Ladley
President
IMCue Solutions

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Danette McGilvray

Danette McGilvray
President
Granite Falls

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C. Lwanga Yonke

C. Lwanga Yonke
Independent Analyst

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David Schlesinger

David Schlesinger
Security Architect
Metadata Security

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Robert S. Seiner

Robert S. Seiner
President and Publisher
KIK Consulting & Educational Services and
The Data Administration Newsletter (TDAN.com)

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Moderator:

David Loshin

David Loshin
President
Knowledge Integrity

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