Leading and Organizing Data Warehousing Teams: Improving Individual and Team Performance

Published: 5 September 2007

Data warehousing projects struggle with a variety of issues that chronically inhibit success. Some of these issues are technical—many are not.

This course is available at the TDWI World Conference in Orlando. For more information, and to register, visit www.tdwi.org/orlando2007.

Leading and Organizing Data Warehousing Teams: Improving Individual and Team Performance 

M8
Leadership & Management
Prerequisite: None

Lorna Rickard
Chief Workforce Architect, CONNECT: The Knowledge Network

Maureen Clarry
CEO/President, CONNECT: The Knowledge Network

You Will Learn

• A framework for analyzing individual and team performance
• Managing change readiness in the data warehousing team
• Pragmatic tips for doing more with less
• Ways to improve cross-functional collaboration
• Decision-making options that increase buy-in
• Roles and responsibilities for successful data warehousing teams

Geared To

• Business sponsors
• IT and data warehousing professionals
• Program and project managers who want a fresh perspective
• New managers and team members who want to create a great work environment

Data warehousing projects struggle with a variety of issues that chronically inhibit success. Some of these issues are technical—many are not. At the core of these issues are cultural and people challenges. Many of these issues are not unique to data warehousing, yet continue to be opportunities to improve performance. Is your data warehousing team struggling with change, unclear roles and responsibilities, lack of agreement, finger-pointing, or an unpredictable culture?

Has your organization learned how to focus on results, create a productive environment, and partner with your business customers? Regardless of your position on the data warehousing team, this entertaining class will provide you with practical tips and techniques for leading your team through these issues.

Course Outline

1. A Framework for Improving Culture and Measuring Results
2. Analyzing a Case Study of a Team in Trouble
3. Roles and Responsibilities
4. Structuring the Team
5. Building an Externally-Focused, Adaptive, and Integrated Data Warehousing Organization
6. Managing Uncertainty
7. Identifying Strategies for Supporting Individual Change Readiness
8. Facilitating Team Chemistry and Productivity
9. Decision Making Techniques That Build Ownership
10. Ten Mistakes to Avoid When Building a Data Warehouse Team