Driving Data Projects: A comprehensive guide

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This book is a compelling guide that empowers readers to navigate the complexities of data projects, fostering a more data-informed culture within their organizations. With practical insights and step-by-step methodologies, this guide provides a clear path on how to drive successful data initiatives in any organization.

Author(s): Christine Haskell
Publisher: BCS Learning and Development Ltd.
Year: 2024

Language: English
Pages: 224

Front Cover
Half-Title Page
Bcs, The Chartered Institute For It
Title Page
Copyright Page
Contents
List of figures, tables and exhibits
Abbreviations
Acknowledgements
Foreword
INTRODUCTION
A word about the book cover
Intended audience
How to use this resource
1. DATA FOUNDATIONS
The basics
What is data?
Why data terms matter
The data journey, from information to asset
Key points
2. DATA TRANSFORMATION 101
Driven by data and informed
Make an impact: raise all boats
Five key ideas for making data projects work
Getting started
Key points
3. SCOPE THE PROJECT
Understanding data wants and needs
Using to-do lists to identify project needs
Common needs that data projects can meet
Four best practices for great data projects
Scoping the project
Building a data project team
Leading data projects and initiatives
Creating a roles and responsibilities template
Conduct a pre-implementation review
Key points
4. DETERMINE RESOURCES
Right-sizing an approach that works for you
The importance of sponsorship
The project change triangle and assessment
Designing the project team
Designing the data team
Key roles on a data project team
Data project approach
Key points
5. MANAGE THE WORK
Determining complexity of projects
0. Plan
1. Kick-off
2. Discovery
3. Build
4. Implement
5. Evaluate and acknowledge
Key points
6. TUNE THE CHANGE
Becoming data-driven
Shifting culture to be data-centric
The tuning process
Level one: observer
Level two: practitioner
Level three: learner
Level four: skilled
Key points
CONCLUSION
Your role in the data supply chain
Reasons to develop data projects strategically
Pitfalls to avoid
ANNEX: PROFESSIONAL RESOURCES
APPENDICES
Appendix A: Determining multiyear goals
Appendix B: Potential data projects
Appendix C: Working agreements, data contracts and service-level agreements
Appendix D: Types of data projects
Appendix E: Pre- and post-implementation review templates
Appendix F: Data terms, jargon and phrases
WORKSHEETS
Worksheet 1: Building a vision
Worksheet 2: Reflection: recall your past data project experiences
Worksheet 3: To-do list based needs assessment
Worksheet 4: Project vetting checklist
Worksheet 5: Scoping template
Worksheet 6: Change management preparation task list
Worksheet 7: Assessing your organisation for change
Worksheet 8: Integration of project and change management activities
Worksheet 9: PCT assessment summary and risk profile
Worksheet 10: PCT sponsor assessment
Worksheet 11: PCT group member assessment
Worksheet 12: Mapping discovery at the end of Phase Three
Worksheet 13: Mission and guiding principles (observe)
Worksheet 14: Three hows – multiyear goals (practice)
Worksheet 15: To-dos list (practice)
Worksheet 16: Augment core competencies (learn)
Worksheet 17: Data supply chain: core systems
Index
Back Cover