Data Strategy: From definition to execution
by Ian Wallis
- Length: 316 pages
- Edition: 1
- Language: English
- Publisher: BCS
- Publication Date: 2021-08-23
- ISBN-10: 1780175418
- ISBN-13: 9781780175416
- Sales Rank: #709466 (See Top 100 Books)
A well thought out, fit-for-purpose data strategy is vital to modern data-driven businesses. This book is your essential guide to planning, developing and implementing such a strategy, presenting a framework which takes you from data strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. Key topics include data-driven business transformation, change enablers, benefits realisation and measurement.
Front Cover Half-Title Page BCS, The Chartered Institute for It Title Page Copyright Page Contents Figures and tables Author Acknowledgements Abbreviations 1. Introduction: why is a data strategy relevant today? 1.1 Data is everywhere 1.2 Why is gaining agreement to define and execute a data strategy so difficult? 1.3 Data is becoming readily accessible 1.4 How does a data strategy help? 1.5 The role of this book 2. Positioning the data strategy 2.1 Terminology – so what is a data strategy? 2.2 The relevance of a data strategy 2.3 Alignment within the organisation 2.4 A successful data strategy – making it clear! 2.5 Why is a data strategy important? 2.6 Ten to take away 3. Setting the scope of the data strategy 3.1 What is your goal in developing a data strategy? The importance of context 3.2 Readiness and maturity of the organisation 3.3 Setting the boundaries – understanding scope and the rationale 3.4 Balancing control and exploitation in your data strategy 3.5 Ten to take away 4. Composing the data strategy 4.1 The importance of accessibility 4.2 Deliver with PRIDE 4.3 The acid test 4.4 Ten to take away 5. Creating a route map – aim high, plan deep! 5.1 Visionary meets realism – how to keep it grounded 5.2 What are your timescales? 5.3 Waymarkers rather than milestones 5.4 Planning for success 5.5 Presenting the route map 5.6 Ten to take away 6. Content, structure and alignment 6.1 Approach to defining the content 6.2 Determining the content 6.3 Logically structuring your content 6.4 Strategy alignment 6.5 Relevancy is key to enabling effective adoption 6.6 Ten to take away 7. Communications, culture and change readiness 7.1 ‘Culture eats strategy for breakfast’ 7.2 Barriers to change 7.3 Sponsorship 7.4 Organisational maturity 7.5 Transitioning communications to focus on the delivery of the data strategy 7.6 Ten to take away 8. Executing the strategy – part one: the plan 8.1 The importance of the transition to data strategy execution 8.2 Why do data strategy implementations fail? 8.3 The planning cycle 8.4 Dependencies – the iceberg beneath your implementation plan! 8.5 Agility and flexibility in strategy execution 8.6 Capability assessment 8.7 Avoiding strategy paralysis 8.8 Ten to take away 9. Executing the strategy – part two: delivery 9.1 Assigning roles and responsibilities 9.2 Plan for action, prepare for change 9.3 Customer engagement 9.4 Project teams, a PMO and the data and analytics function 9.5 The prioritisation challenge 9.6 Requirements 9.7 Benefits definition and tracking 9.8 Ten to take away 10. Flexibility in execution 10.1 Managing the impact of change 10.2 Assessing impact of change 10.3 Capability reassessment and the role of learning and development 10.4 Communicating change 10.5 A dynamic data strategy 10.6 Ten to take away 11. Assessing value in data strategy implementation 11.1 Evaluation to generate measurement in data strategy implementation 11.2 Benefits realisation 11.3 Performance frameworks 11.4 Earned value 11.5 Maturity assessments 11.6 Data as an asset – realising value 11.7 Ten to take away 12. Data Strategy: Completing the journey from definition to execution 12.1 Culture – is your strategy heading for the breakfast plate? 12.2 Are you really ready to sail? 12.3 Revolution versus evolution – the implementation challenge 12.4 The tricky triumvirate – prioritisation, dependencies and capabilities 12.5 Evaluation and measurement 12.6 Sponsorship, executive buy-in and stakeholder management 12.7 Communications 12.8 Aligning and embedding the strategies 12.9 Balancing risk 12.10 Plan for success 12.11 The next wave 12.12 Is a data strategy similar for all organisations? 12.13 Case studies 12.14 Summary of steps – data strategy: from definition to execution 12.15 Some final personal reflections 12.16 Ten to take away Glossary Bibliography Index Back Cover
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