Tutorials - June 1, 2009
| Monday 1 June 7:308:30 |
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| 8:30 - 11:45 MORNING TUTORIALS | ||||||||||||||||||||||||||||
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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:
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Monday
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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:
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Monday
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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:
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Monday
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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:
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Monday
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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
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Monday
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Data Governance:
How to Manage the Ongoing Creation, Collection, and Maintenance
of Data
for Integrated ERP Systems 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. |
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| 1:30 - 4:45 AFTERNOON TUTORIALS | ||||||||||||||||||||||||||||
Monday
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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:
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Monday
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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:
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Monday
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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:
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Monday
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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:
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Panel:
New Challenges in Data Governance and Data Protection Moderator: 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:
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