Data strategy : from definition to execution /

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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
Clasificación:Libro Electrónico
Autor principal: Wallis, Ian (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Swindon, UK : BCS, [2021]
Temas:
Business > Data processing > Management.
Strategic planning.
Business planning.
Gestion > Informatique > Gestion.
Planification stratégique.
Business strategy.
Data capture & analysis.
Privacy & data protection.
BUSINESS & ECONOMICS > Strategic Planning.
COMPUTERS > Data Science > General.
COMPUTERS > Data Science > Data Analytics.
Business > Data processing > Management
Business planning
Strategic planning
Data capture and analysis.
Privacy and data protection.
Acceso en línea:Texto completo
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

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