Data strategy : from definition to execution

Data strategy from definition to execution

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.

Detalles Bibliográficos
Otros Autores: Wallis, Ian (Business journalist), author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Swindon : BCS Learning and Development Ltd [2021]
Edición:1st ed
Materias:
Business > Data processing > Management.
Business planning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009671491106719
Tabla de Contenidos:
  • 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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