001446845 000__ 03466cam\a2200493Ii\4500
001446845 001__ 1446845
001446845 003__ OCoLC
001446845 005__ 20230310004020.0
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001446845 007__ cr\un\nnnunnun
001446845 008__ 220520s2022\\\\gw\a\\\\ob\\\\000\0\eng\d
001446845 020__ $$a9783662651711$$q(electronic bk.)
001446845 020__ $$a3662651718$$q(electronic bk.)
001446845 020__ $$z9783662651704$$q(print)
001446845 0247_ $$a10.1007/978-3-662-65171-1$$2doi
001446845 035__ $$aSP(OCoLC)1319082281
001446845 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ
001446845 0411_ $$aeng$$hger
001446845 049__ $$aISEA
001446845 050_4 $$aHF5548.37
001446845 08204 $$a658.4/78$$223/eng/20220520
001446845 1001_ $$aBollweg, Lars Michael,$$eauthor.
001446845 24010 $$aData Governance für Manager.$$lEnglish
001446845 24510 $$aData governance for managers :$$bthe driver of value stream optimization and a pacemaker for digital transformation /$$cLars Michael Bollweg.
001446845 264_1 $$aBerlin, Germany :$$bSpringer,$$c2022.
001446845 300__ $$a1 online resource (xi, 163 pages) :$$billustrations.
001446845 336__ $$atext$$btxt$$2rdacontent
001446845 337__ $$acomputer$$bc$$2rdamedia
001446845 338__ $$aonline resource$$bcr$$2rdacarrier
001446845 4901_ $$aManagement for professionals,$$x2192-810X
001446845 504__ $$aIncludes bibliographical references.
001446845 5050_ $$aChapter 1. Introduction -- Part 1. Basics -- Chapter 2. What is Data Governance? -- Part 2. Planning -- Chapter 3. Success Factors for the Implementation -- Part 3. Implementation -- Chapter 4. Development of a Responsive Operating Model -- Part 4. Digital Transformation -- Chapter 5. Fundamentals of the Digital Transformation -- Chapter 6. Data Governance as Driver of Value Stream Optimization and as Pacemaker for the Digital Transformation -- Part 5. Performance Measurement -- Chapter 7. Measuring the Success of Data Governance -- Chapter 8. List of Principles -- Chapter 9. Bonus: Data Definition Template -- Chapter 10. Closing Words.
001446845 506__ $$aAccess limited to authorized users.
001446845 520__ $$aProfessional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance. This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance. The book will serve as a useful guide for interested newcomers as well as for experienced managers.
001446845 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 20, 2022).
001446845 650_0 $$aData protection.
001446845 655_0 $$aElectronic books.
001446845 830_0 $$aManagement for professionals,$$x2192-810X
001446845 852__ $$bebk
001446845 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-662-65171-1$$zOnline Access$$91397441.1
001446845 909CO $$ooai:library.usi.edu:1446845$$pGLOBAL_SET
001446845 980__ $$aBIB
001446845 980__ $$aEBOOK
001446845 982__ $$aEbook
001446845 983__ $$aOnline
001446845 994__ $$a92$$bISE