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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Swindon, UK :
BCS,
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781780175430 1780175434 9781780175423 1780175426 |
Internformat
MARC
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| 100 | 1 | |a Wallis, Ian, |e author. | |
| 245 | 1 | 0 | |a Data strategy : |b from definition to execution / |c Ian Wallis. |
| 264 | 1 | |a Swindon, UK : |b BCS, |c [2021] | |
| 300 | |a 1 online resource | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on September 08, 2021). | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a 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. | ||
| 650 | 0 | |a Business |x Data processing |x Management. | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1264715092 |
|---|---|
| _version_ | 1816882548794458112 |
| adam_text | |
| any_adam_object | |
| author | Wallis, Ian |
| author_facet | Wallis, Ian |
| author_role | aut |
| author_sort | Wallis, Ian |
| author_variant | i w iw |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HD30 |
| callnumber-raw | HD30.2 .W35 2021 HF5548.2 |
| callnumber-search | HD30.2 .W35 2021 HF5548.2 |
| callnumber-sort | HD 230.2 W35 42021 |
| callnumber-subject | HD - Industries, Land Use, Labor |
| collection | ZDB-4-EBA |
| contents | 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 |
| ctrlnum | (OCoLC)1264715092 |
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| dewey-ones | 658 - General management 650 - Management and auxiliary services |
| dewey-raw | 658.4/012 650.0285 |
| dewey-search | 658.4/012 650.0285 |
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| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBA-on1264715092 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:30:22Z |
| institution | BVB |
| isbn | 9781780175430 1780175434 9781780175423 1780175426 |
| language | English |
| oclc_num | 1264715092 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | BCS, |
| record_format | marc |
| spelling | Wallis, Ian, author. Data strategy : from definition to execution / Ian Wallis. Swindon, UK : BCS, [2021] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Online resource; title from digital title page (viewed on September 08, 2021). 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 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. Business Data processing Management. Strategic planning. http://id.loc.gov/authorities/subjects/sh85128511 Business planning. http://id.loc.gov/authorities/subjects/sh85032906 Gestion Informatique Gestion. Planification stratégique. Business strategy. bicssc Data capture & analysis. bicssc Privacy & data protection. bicssc BUSINESS & ECONOMICS Strategic Planning. bisacsh COMPUTERS Data Science General. bisacsh COMPUTERS Data Science Data Analytics. bisacsh Business Data processing Management fast Business planning fast Strategic planning fast Business strategy. thema Data capture and analysis. thema Privacy and data protection. thema Electronic book. has work: Data Strategy (Text) https://id.oclc.org/worldcat/entity/E39PD3cr6QyB8Ww9WvHVrC6xWC https://id.oclc.org/worldcat/ontology/hasWork Print version: 1780175418 9781780175416 (OCoLC)1243262584 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3017092 Volltext |
| spellingShingle | Wallis, Ian Data strategy : from definition to execution / 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 Business Data processing Management. Strategic planning. http://id.loc.gov/authorities/subjects/sh85128511 Business planning. http://id.loc.gov/authorities/subjects/sh85032906 Gestion Informatique Gestion. Planification stratégique. Business strategy. bicssc Data capture & analysis. bicssc Privacy & data protection. bicssc BUSINESS & ECONOMICS Strategic Planning. bisacsh COMPUTERS Data Science General. bisacsh COMPUTERS Data Science Data Analytics. bisacsh Business Data processing Management fast Business planning fast Strategic planning fast Business strategy. thema Data capture and analysis. thema Privacy and data protection. thema |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85128511 http://id.loc.gov/authorities/subjects/sh85032906 |
| title | Data strategy : from definition to execution / |
| title_auth | Data strategy : from definition to execution / |
| title_exact_search | Data strategy : from definition to execution / |
| title_full | Data strategy : from definition to execution / Ian Wallis. |
| title_fullStr | Data strategy : from definition to execution / Ian Wallis. |
| title_full_unstemmed | Data strategy : from definition to execution / Ian Wallis. |
| title_short | Data strategy : |
| title_sort | data strategy from definition to execution |
| title_sub | from definition to execution / |
| topic | Business Data processing Management. Strategic planning. http://id.loc.gov/authorities/subjects/sh85128511 Business planning. http://id.loc.gov/authorities/subjects/sh85032906 Gestion Informatique Gestion. Planification stratégique. Business strategy. bicssc Data capture & analysis. bicssc Privacy & data protection. bicssc BUSINESS & ECONOMICS Strategic Planning. bisacsh COMPUTERS Data Science General. bisacsh COMPUTERS Data Science Data Analytics. bisacsh Business Data processing Management fast Business planning fast Strategic planning fast Business strategy. thema Data capture and analysis. thema Privacy and data protection. thema |
| topic_facet | 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. Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3017092 |
| work_keys_str_mv | AT wallisian datastrategyfromdefinitiontoexecution |