Post-Conference Tutorials - June 28, 2012
Thursday 28 June 7:003:00 |
Registration | ||||
Thursday 28 June 7:008:30 |
Continental Breakfast | ||||
Thursday 28 June 7:308:20 |
IQCP Certification: Getting Ready for the Exam Christian Walenta, President, IAIDQ Piyush Malik, Director, IAIDQ |
||||
Speakers:
|
|||||
8:30 - 4:15 POST-CONFERENCE TUTORIALS | |||||
Thursday
|
T13: How to Develop
Your Organization's Templates and Work Products for Successful Data Governance Anne Marie Smith, Principal Consultant, Alabama Yankee Systems Over the past few days you have learned the fundamentals of governance and have heard success stories from companies who have implemented data governance programs. But what work products are needed and where do you start? This interactive full-day workshop will provide some fundamental templates for the data governance manager, and teach attendees how to customize them for their use - and how to use them. This workshop will give all attendees useable artifacts for their governance program. Templates that will be discussed include:
|
||||
Speaker:
|
|||||
Thursday
|
T14: Mastering
the Human Side of Data Governance and Data Quality - The Key to Success Len Silverston, President, Universal Data Models When we asked the question to many organizations, 'Why did your data governance or data quality effort fail?" the most common answer was 'politics'. And when we asked why efforts were successful, human factors were most often mentioned as the key. So what can we do about this? To be successful, we must invest in and understand leading-edge techniques, tools, and practices that can to develop strong personal relationships, effect positive cultural changes, and promote effective human dynamics. This seminar provides case studies from a variety of data governance, data quality, and data management efforts and shares critical aspects of why some organizations are successful and others are not. This seminar will share practical and powerful techniques that focus on human dynamics and personal relationships, which is one of the most important factors in success. Based upon decades of experiences and research from a variety of sources, the seminar will share principles and specific techniques that data governance and data quality teams can use to develop trust, understand and 'model' motivations, develop sponsorship, move ahead the vision, and effectively resolve conflict. There will be interactive exercises where participants will practice handling difficult issues that commonly arise in data governance and data quality efforts, and we will apply the principles and techniques that leading organizations have used to create world class solutions. Furthermore, this class will share fun and interesting knowledge, stories and exercises. You Will Learn
|
||||
Speaker:
|
|||||
Thursday
|
T15: A
Structured Approach to Information Quality Projects Danette McGilvray, President and Principal, Granite Falls Do you see the need for improving data quality in your organization? Maybe you have complaints about reports coming out of the data warehouse. You need to analyze the data quality and set a baseline against which to compare future improvements. In other cases, you have projects (MDM, ERP, new application development) that are migrating or integrating data and high quality data is a critical success factor. Perhaps you purchased a data quality profiling and/or cleansing tool but you are not sure how to make the best use of it. Maybe you are formalizing your information quality efforts and need a structured, yet flexible, approach to apply against the many data quality-related situations in your organization. Perhaps you were just given responsibility for information quality and you are not sure how to get started. If these sound familiar, this course is for you! Join us to learn the Ten Steps to Quality Data and Trusted Information™ – a practical approach to creating, improving, and managing the quality of information critical to running your business, satisfying customers, and achieving company goals. What you learn here applies to all kinds of data and every type of organization – for-profit businesses of all sizes, education, government, healthcare, and nonprofit – because all depend on information to succeed. Key topics include:
Come with your particular needs in mind, learn how these topics apply to your situation and leave with realistic methods for improving information quality. |
||||
Speaker:
|
|||||
![]() |