E-Book, Englisch, 270 Seiten
Plotnikovs Data Management Strategy at Microsoft
1. Auflage 2024
ISBN: 978-1-83546-693-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Best practices from a tech giant's decade-long data transformation journey
E-Book, Englisch, 270 Seiten
ISBN: 978-1-83546-693-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Microsoft pioneered data innovation and investment ahead of many in the industry, setting a remarkable standard for data maturity. Written by a data leader with over 15 years of experience following Microsoft's data journey, this book delves into every crucial aspect of this journey, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture.
This book emphasizes that success in a data-driven enterprise goes beyond relying solely on modern technology and highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices. You'll see how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners who rely on data daily for their operational needs. This guide empower these professionals with clean, easily discoverable, and business-ready data, marking a significant breakthrough in how data is perceived and utilized throughout an enterprise. You'll also discover advanced techniques to nurture the value of data as unique intellectual property, and differentiate your organization with the power of data.
Its storytelling approach and summary of essential insights at the end of each chapter make this book invaluable for business and data leaders to advocate for crucial data investments.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
Weitere Infos & Material
Table of Contents - Where's My Data and Who's in Charge?
- We Make Data Business Ready
- Thousands to One – From Locally Siloed to Globally Centralized
- Reactive! Proactive? Predictive
- Mastering Your Data Domains and Business Ownership
- Navigating the Strategic Data Dilemma
- Unique Data IP Is Your Magic
- The Pareto Principle in Action
- Data Mastering and MDM
- Data Mesh and Data Governance
- Data Assets or Data Products?
- Data Value, Literacy, and Culture
- Getting Ready for GenAI




