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001484260 001__ 1484260
001484260 003__ OCoLC
001484260 005__ 20240117003318.0
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001484260 008__ 231125s2023\\\\cau\\\\\ob\\\\001\0\eng\d
001484260 019__ $$a1410592253
001484260 020__ $$a9781484299661$$q(electronic bk.)
001484260 020__ $$a1484299663$$q(electronic bk.)
001484260 020__ $$z1484299655
001484260 020__ $$z9781484299654
001484260 0247_ $$a10.1007/978-1-4842-9966-1$$2doi
001484260 035__ $$aSP(OCoLC)1410561496
001484260 040__ $$aYDX$$beng$$erda$$cYDX$$dOCLCO$$dYDX$$dOCLCO$$dGW5XE$$dEBLCP$$dORMDA
001484260 049__ $$aISEA
001484260 050_4 $$aHF5548.2$$b.G75 2023
001484260 08204 $$a658.05$$223
001484260 1001_ $$aGriffin, Gary W.,$$eauthor.
001484260 24510 $$aBuilding a data culture :$$bthe usage and flow data culture model /$$cGary W. Griffin, David Holcomb.
001484260 264_1 $$a[Berkeley, CA] :$$bApress,$$c[2023]
001484260 300__ $$a1 online resource
001484260 336__ $$atext$$btxt$$2rdacontent
001484260 337__ $$acomputer$$bc$$2rdamedia
001484260 338__ $$aonline resource$$bcr$$2rdacarrier
001484260 504__ $$aIncludes bibliographical references and index.
001484260 5050_ $$a1. Data Culture -- 2. The Current State -- 3. Organizational Vision and Data Strategy -- 4. Leadership and Change Management -- 5. Data Governance and Infrastructure -- 6. Data Literacy and Skills Development -- 7. Embedding Data into Decision Making -- 8. Nurturing Collaboration and Communication -- 9. Measuring Success and Sustaining the Data Culture -- 10. Case Studies and Lessons Learned.
001484260 506__ $$aAccess limited to authorized users.
001484260 520__ $$aIn todays fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governances pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate through analytics, literacy, governance, process management, and data inventory management. Behind all of this lies the authors groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Building a Data Culture carefully dissects these cultural types, revealing the associated challenges and opportunities, and uncovering suitable strategies in the process.
001484260 588__ $$aDescription based on online resource; title from digital title page (viewed on December 07, 2023).
001484260 650_6 $$aGestion$$xInformatique.
001484260 650_6 $$aCulture organisationnelle.
001484260 650_0 $$aBusiness$$xData processing.$$0(DLC)sh 85000411
001484260 650_0 $$aCorporate culture.$$vFiction$$0(DLC)sh2009118905
001484260 655_0 $$aElectronic books.
001484260 7001_ $$aHolcomb, David,$$eauthor.$$d1916-$$0(OCoLC)oca02376844
001484260 77608 $$iPrint version:$$z1484299655$$z9781484299654$$w(OCoLC)1396141339
001484260 852__ $$bebk
001484260 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9966-1$$zOnline Access$$91397441.1
001484260 909CO $$ooai:library.usi.edu:1484260$$pGLOBAL_SET
001484260 980__ $$aBIB
001484260 980__ $$aEBOOK
001484260 982__ $$aEbook
001484260 983__ $$aOnline
001484260 994__ $$a92$$bISE