Data Strategy

Table of contents

1. Front Cover
2. Half-Title Page
3. BCS, The Chartered Institute for It
4. Title Page
5. Copyright Page
6. Contents
7. Figures and tables
8. Author
9. Acknowledgements
10. Abbreviations
11. 1. Introduction: why is a data strategy relevant today?
    1. 1.1 Data is everywhere
    2. 1.2 Why is gaining agreement to define and execute a data strategy so difficult?
    3. 1.3 Data is becoming readily accessible
    4. 1.4 How does a data strategy help?
    5. 1.5 The role of this book
12. 2. Positioning the data strategy
    1. 2.1 Terminology – so what is a data strategy?
    2. 2.2 The relevance of a data strategy
    3. 2.3 Alignment within the organisation
    4. 2.4 A successful data strategy – making it clear!
    5. 2.5 Why is a data strategy important?
    6. 2.6 Ten to take away
13. 3. Setting the scope of the data strategy
    1. 3.1 What is your goal in developing a data strategy? The importance of context
    2. 3.2 Readiness and maturity of the organisation
    3. 3.3 Setting the boundaries – understanding scope and the rationale
    4. 3.4 Balancing control and exploitation in your data strategy
    5. 3.5 Ten to take away
14. 4. Composing the data strategy
    1. 4.1 The importance of accessibility
    2. 4.2 Deliver with PRIDE
    3. 4.3 The acid test
    4. 4.4 Ten to take away
15. 5. Creating a route map – aim high, plan deep!
    1. 5.1 Visionary meets realism – how to keep it grounded
    2. 5.2 What are your timescales?
    3. 5.3 Waymarkers rather than milestones
    4. 5.4 Planning for success
    5. 5.5 Presenting the route map
    6. 5.6 Ten to take away
16. 6. Content, structure and alignment
    1. 6.1 Approach to defining the content
    2. 6.2 Determining the content
    3. 6.3 Logically structuring your content
    4. 6.4 Strategy alignment
    5. 6.5 Relevancy is key to enabling effective adoption
    6. 6.6 Ten to take away
17. 7. Communications, culture and change readiness
    1. 7.1 ‘Culture eats strategy for breakfast’
    2. 7.2 Barriers to change
    3. 7.3 Sponsorship
    4. 7.4 Organisational maturity
    5. 7.5 Transitioning communications to focus on the delivery of the data strategy
    6. 7.6 Ten to take away
18. 8. Executing the strategy – part one: the plan
    1. 8.1 The importance of the transition to data strategy execution
    2. 8.2 Why do data strategy implementations fail?
    3. 8.3 The planning cycle
    4. 8.4 Dependencies – the iceberg beneath your implementation plan!
    5. 8.5 Agility and flexibility in strategy execution
    6. 8.6 Capability assessment
    7. 8.7 Avoiding strategy paralysis
    8. 8.8 Ten to take away
19. 9. Executing the strategy – part two: delivery
    1. 9.1 Assigning roles and responsibilities
    2. 9.2 Plan for action, prepare for change
    3. 9.3 Customer engagement
    4. 9.4 Project teams, a PMO and the data and analytics function
    5. 9.5 The prioritisation challenge
    6. 9.6 Requirements
    7. 9.7 Benefits definition and tracking
    8. 9.8 Ten to take away
20. 10. Flexibility in execution
    1. 10.1 Managing the impact of change
    2. 10.2 Assessing impact of change
    3. 10.3 Capability reassessment and the role of learning and development
    4. 10.4 Communicating change
    5. 10.5 A dynamic data strategy
    6. 10.6 Ten to take away
21. 11. Assessing value in data strategy implementation
    1. 11.1 Evaluation to generate measurement in data strategy implementation
    2. 11.2 Benefits realisation
    3. 11.3 Performance frameworks
    4. 11.4 Earned value
    5. 11.5 Maturity assessments
    6. 11.6 Data as an asset – realising value
    7. 11.7 Ten to take away
22. 12. Data Strategy: Completing the journey from definition to execution
    1. 12.1 Culture – is your strategy heading for the breakfast plate?
    2. 12.2 Are you really ready to sail?
    3. 12.3 Revolution versus evolution – the implementation challenge
    4. 12.4 The tricky triumvirate – prioritisation, dependencies and capabilities
    5. 12.5 Evaluation and measurement
    6. 12.6 Sponsorship, executive buy-in and stakeholder management
    7. 12.7 Communications
    8. 12.8 Aligning and embedding the strategies
    9. 12.9 Balancing risk
    10. 12.10 Plan for success
    11. 12.11 The next wave
    12. 12.12 Is a data strategy similar for all organisations?
    13. 12.13 Case studies
    14. 12.14 Summary of steps – data strategy: from definition to execution
    15. 12.15 Some final personal reflections
    16. 12.16 Ten to take away
23. Glossary
24. Bibliography
25. Index
26. Back Cover