Data stewardship in action a roadmap to data value realization and measurable business outcomes
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| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing, Limited
2024
|
| Ausgabe: | 1st edition |
| Schlagworte: | |
| Online-Zugang: | DE-573 DE-2070s DE-91 DE-706 URL des Erstveröffentlichers |
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Datensatz im Suchindex
| _version_ | 1822514488534892544 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Lee, Pui Shing Charm, Toa |
| author_facet | Lee, Pui Shing Charm, Toa |
| author_role | aut aut |
| author_sort | Lee, Pui Shing |
| author_variant | p s l ps psl t c tc |
| building | Verbundindex |
| bvnumber | BV049873683 |
| collection | ZDB-30-PQE ZDB-221-PDA |
| contents | Cover -- Title Page -- Copyright and Credits -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Why Data Stewardship and Why Me? -- Chapter 1: From Business Strategy to Data Strategy to Data Stewardship -- Understanding the strategic, tactical, and operational value of data stewardship -- Bridging the gap between data strategy and data operation -- Unlocking business value with data stewardship -- Understanding business strategy -- Understanding data strategy -- Operationalizing your data strategy via data stewardship -- Exploring the mindset and skillset gap -- Translating strategy into execution -- Data collection -- Data governance framework -- Analytics and reporting tools -- Tracking progress -- Decoding data governance, management, and stewardship -- Data stewards don different hats -- Summary -- Chapter 2: How Data Stewardship Can Help Your Organization -- Defining data stewardship -- The work scope of a data steward -- Understanding the role of a data steward -- Types of data stewards -- Comparing strategic data stewardship with a standard operating procedure -- Using business cases for storytelling and value realization -- Creating a competitive edge with data stewardship -- Summary -- Chapter 3: Getting Started with the Data Stewardship Program -- Defining the origin and destination of your data stewardship program -- Getting buy-in of data stewardship from stakeholders -- Building a prioritization matrix -- The impact-effort matrix -- The RICE method -- MoSCoW analysis -- Comparing different prioritization matrices -- Assessing data maturity -- Building the foundation of your data stewardship program -- Summary -- Part 2: How to Become a Data Steward and Shine! -- Chapter 4: Developing a Comprehensive Data Management Strategy -- What is a data strategy? Assessing your current data environment for creating a data strategy - Where are you now? -- Data maturity assessment -- The CDMC framework -- Fulfilling the business and data strategy - Where do you want to go? -- Spider web diagram -- Introducing the people, process, and technology - How do we get there? -- Making the impact visible to your stakeholders - Feedback loop to measure and report progress -- Engagement model -- Summary -- Chapter 5: People, Process, and Technology -- Empowering people for an effective data stewardship program -- Roles and responsibilities -- Skills and training -- Stakeholder engagement -- Demonstrating the return on investment (ROI) of a data stewardship program -- Standardizing processes to ensure consistent data operation -- Data governance framework -- Data compliance and risk management -- Leveraging technology to fast-track your data journey -- Data infrastructure -- Data integration -- Data security and privacy technologies -- Investment strategy on technology for data stewardship -- Fostering the data culture -- Cultivating a data-driven culture -- Overcoming resistance -- Measuring cultural change -- Understanding the TOM - From strategy to operation -- Designing the TOM -- Implementing the TOM -- Evaluating and adjusting the TOM -- Summary -- Chapter 6: Establishing a Data Governance Organization -- Establishing data governance bodies -- Building your team -- Team structure and hierarchy -- Mode of data stewardship -- Data is a team sport -- Creating a data governance roadmap -- Creating short-term and long-term roadmaps -- Risk management and mitigation -- Defining KPIs -- Measuring and reporting on KPIs -- Using KPIs for continuous improvement -- Reviewing the fitness of your data stewardship mode -- Summary -- Chapter 7: Data Steward Roles and Responsibilities Understanding high-level roles and responsibilities -- Day-to-day activities for data stewards -- RACI matrix for data governance -- Establishing data quality and lineage principles and practices -- Data quality -- The DQM cycle -- Data lineage -- Setting up data classification, access control, and security -- Data classification -- Data access control -- Data security and protection -- Monitoring and ensuring data privacy and compliance -- Summary -- Chapter 8: Effective Data Stewardship -- Establishing data stewardship principles and standardizing data incident management -- The data life cycle -- Principles and policies -- Data incident management -- Defining and implementing data ownership -- Defining and designing a data domain -- Assigning an owner to a data domain -- Day 2 for data ownership and domain -- Defining a target state - What does good data stewardship look like? -- Understanding the level of data complexity -- Defining a target state -- What does good look like for data owners? -- Summary -- Chapter 9: Supercharge Data Governance and Stewardship with GPT -- Pairing data and AI -- Leveraging AI and GPT for data governance -- Enhancing data quality and trust -- Automation and enrichment -- Driving innovation and insight -- Understanding the challenges and limitations -- Embracing a responsible AI framework -- Best practices for responsible AI in data governance -- Operationalizing a responsible AI Framework -- Future of AI for data governance -- Summary -- Part 3: What Makes Data Stewardship a Sustainable Success? -- Chapter 10: Data Stewardship Best Practices -- Rolling out a people-first operational model -- Aligning data mindset and continuous learning -- Creating a culture of accountability and ownership -- Executing day-to-day data processes -- Who does what, by when, and approved by whom? -- Data mapping and metadata management Data risk assessment and mitigation -- Optimizing your data journey with strategic technological integration -- Data stewardship tools and technologies -- Data catalog and metadata -- Blockchain and AI -- Valuing and protecting data as an asset -- Realizing short- and long-term business value via data -- Summary -- Chapter 11: Theory versus Real Life -- Understanding why there is a gap between theory and reality -- Discovering the gaps -- Identifying the gaps -- Bridging the gap between theory and reality -- Critical thinking in bridging theory and reality -- Integrating data stewardship into daily operations -- Gap #1 - Standard operating procedure is written but not followed -- Gap #2 - Insufficient commitment from stakeholders -- Gap #3 - Data governance operating model cannot keep up with ever-changing regulatory requirements -- Gap #4 - Technical debt -- Future-proofing your data stewardship program -- Benchmarking with DAMA and EDMC surveys -- Enhancing data stewards' skills with skillset matrix -- Cultivating resilience and adaptability in data stewardship -- Evolving theoretical models with real-life experiences -- Summary -- Chapter 12: Case Studies -- Nurturing a data culture with a data mindset - case study #1 -- A plan of action -- Data stewardship in action -- Outcome -- Streamlining fund performance and reporting - case study #2 -- A plan of action -- Data stewardship in action -- Outcome -- Summary -- Index -- Other Books You May Enjoy |
| ctrlnum | (ZDB-30-PQE)EBC31105011 (ZDB-30-PAD)EBC31105011 (ZDB-89-EBL)EBL31105011 (ZDB-221-PDA)9781837638123 (OCoLC)1420630891 (DE-599)BVBBV049873683 |
| dewey-full | 005.8 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.8 |
| dewey-search | 005.8 |
| dewey-sort | 15.8 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1st edition |
| format | Electronic eBook |
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| id | DE-604.BV049873683 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-28T17:27:38Z |
| institution | BVB |
| isbn | 9781837638123 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035213141 |
| oclc_num | 1420630891 |
| open_access_boolean | |
| owner | DE-2070s DE-706 DE-91 DE-BY-TUM DE-573 |
| owner_facet | DE-2070s DE-706 DE-91 DE-BY-TUM DE-573 |
| physical | 1 Online-Ressource (272 Seiten) |
| psigel | ZDB-30-PQE ZDB-221-PDA ZDB-30-PQE HWR_PDA_PQE ZDB-221-PDA TUM_Paketkauf_2025 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Lee, Pui Shing Verfasser aut Data stewardship in action a roadmap to data value realization and measurable business outcomes 1st edition Birmingham Packt Publishing, Limited 2024 © 2024 1 Online-Ressource (272 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Data protection Data warehousing Information technology-Security measures Charm, Toa Verfasser aut Erscheint auch als Druck-Ausgabe Lee, Pui Shing Data Stewardship in Action Birmingham : Packt Publishing, Limited,c2024 9781837636594 https://portal.igpublish.com/iglibrary/search/PACKT0007011.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Lee, Pui Shing Charm, Toa Data stewardship in action a roadmap to data value realization and measurable business outcomes Cover -- Title Page -- Copyright and Credits -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Why Data Stewardship and Why Me? -- Chapter 1: From Business Strategy to Data Strategy to Data Stewardship -- Understanding the strategic, tactical, and operational value of data stewardship -- Bridging the gap between data strategy and data operation -- Unlocking business value with data stewardship -- Understanding business strategy -- Understanding data strategy -- Operationalizing your data strategy via data stewardship -- Exploring the mindset and skillset gap -- Translating strategy into execution -- Data collection -- Data governance framework -- Analytics and reporting tools -- Tracking progress -- Decoding data governance, management, and stewardship -- Data stewards don different hats -- Summary -- Chapter 2: How Data Stewardship Can Help Your Organization -- Defining data stewardship -- The work scope of a data steward -- Understanding the role of a data steward -- Types of data stewards -- Comparing strategic data stewardship with a standard operating procedure -- Using business cases for storytelling and value realization -- Creating a competitive edge with data stewardship -- Summary -- Chapter 3: Getting Started with the Data Stewardship Program -- Defining the origin and destination of your data stewardship program -- Getting buy-in of data stewardship from stakeholders -- Building a prioritization matrix -- The impact-effort matrix -- The RICE method -- MoSCoW analysis -- Comparing different prioritization matrices -- Assessing data maturity -- Building the foundation of your data stewardship program -- Summary -- Part 2: How to Become a Data Steward and Shine! -- Chapter 4: Developing a Comprehensive Data Management Strategy -- What is a data strategy? Assessing your current data environment for creating a data strategy - Where are you now? -- Data maturity assessment -- The CDMC framework -- Fulfilling the business and data strategy - Where do you want to go? -- Spider web diagram -- Introducing the people, process, and technology - How do we get there? -- Making the impact visible to your stakeholders - Feedback loop to measure and report progress -- Engagement model -- Summary -- Chapter 5: People, Process, and Technology -- Empowering people for an effective data stewardship program -- Roles and responsibilities -- Skills and training -- Stakeholder engagement -- Demonstrating the return on investment (ROI) of a data stewardship program -- Standardizing processes to ensure consistent data operation -- Data governance framework -- Data compliance and risk management -- Leveraging technology to fast-track your data journey -- Data infrastructure -- Data integration -- Data security and privacy technologies -- Investment strategy on technology for data stewardship -- Fostering the data culture -- Cultivating a data-driven culture -- Overcoming resistance -- Measuring cultural change -- Understanding the TOM - From strategy to operation -- Designing the TOM -- Implementing the TOM -- Evaluating and adjusting the TOM -- Summary -- Chapter 6: Establishing a Data Governance Organization -- Establishing data governance bodies -- Building your team -- Team structure and hierarchy -- Mode of data stewardship -- Data is a team sport -- Creating a data governance roadmap -- Creating short-term and long-term roadmaps -- Risk management and mitigation -- Defining KPIs -- Measuring and reporting on KPIs -- Using KPIs for continuous improvement -- Reviewing the fitness of your data stewardship mode -- Summary -- Chapter 7: Data Steward Roles and Responsibilities Understanding high-level roles and responsibilities -- Day-to-day activities for data stewards -- RACI matrix for data governance -- Establishing data quality and lineage principles and practices -- Data quality -- The DQM cycle -- Data lineage -- Setting up data classification, access control, and security -- Data classification -- Data access control -- Data security and protection -- Monitoring and ensuring data privacy and compliance -- Summary -- Chapter 8: Effective Data Stewardship -- Establishing data stewardship principles and standardizing data incident management -- The data life cycle -- Principles and policies -- Data incident management -- Defining and implementing data ownership -- Defining and designing a data domain -- Assigning an owner to a data domain -- Day 2 for data ownership and domain -- Defining a target state - What does good data stewardship look like? -- Understanding the level of data complexity -- Defining a target state -- What does good look like for data owners? -- Summary -- Chapter 9: Supercharge Data Governance and Stewardship with GPT -- Pairing data and AI -- Leveraging AI and GPT for data governance -- Enhancing data quality and trust -- Automation and enrichment -- Driving innovation and insight -- Understanding the challenges and limitations -- Embracing a responsible AI framework -- Best practices for responsible AI in data governance -- Operationalizing a responsible AI Framework -- Future of AI for data governance -- Summary -- Part 3: What Makes Data Stewardship a Sustainable Success? -- Chapter 10: Data Stewardship Best Practices -- Rolling out a people-first operational model -- Aligning data mindset and continuous learning -- Creating a culture of accountability and ownership -- Executing day-to-day data processes -- Who does what, by when, and approved by whom? -- Data mapping and metadata management Data risk assessment and mitigation -- Optimizing your data journey with strategic technological integration -- Data stewardship tools and technologies -- Data catalog and metadata -- Blockchain and AI -- Valuing and protecting data as an asset -- Realizing short- and long-term business value via data -- Summary -- Chapter 11: Theory versus Real Life -- Understanding why there is a gap between theory and reality -- Discovering the gaps -- Identifying the gaps -- Bridging the gap between theory and reality -- Critical thinking in bridging theory and reality -- Integrating data stewardship into daily operations -- Gap #1 - Standard operating procedure is written but not followed -- Gap #2 - Insufficient commitment from stakeholders -- Gap #3 - Data governance operating model cannot keep up with ever-changing regulatory requirements -- Gap #4 - Technical debt -- Future-proofing your data stewardship program -- Benchmarking with DAMA and EDMC surveys -- Enhancing data stewards' skills with skillset matrix -- Cultivating resilience and adaptability in data stewardship -- Evolving theoretical models with real-life experiences -- Summary -- Chapter 12: Case Studies -- Nurturing a data culture with a data mindset - case study #1 -- A plan of action -- Data stewardship in action -- Outcome -- Streamlining fund performance and reporting - case study #2 -- A plan of action -- Data stewardship in action -- Outcome -- Summary -- Index -- Other Books You May Enjoy Data protection Data warehousing Information technology-Security measures |
| title | Data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_auth | Data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_exact_search | Data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_full | Data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_fullStr | Data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_full_unstemmed | Data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_short | Data stewardship in action |
| title_sort | data stewardship in action a roadmap to data value realization and measurable business outcomes |
| title_sub | a roadmap to data value realization and measurable business outcomes |
| topic | Data protection Data warehousing Information technology-Security measures |
| topic_facet | Data protection Data warehousing Information technology-Security measures |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0007011.html |
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