Data Culture: Unternehmen im Zeitalter von KI datengetrieben führen

Name: Data Culture: Unternehmen im Zeitalter von KI datengetrieben führen
Brand: Independently Published
SKU: 9798252150802
Price: 1023.0 INR
Availability: InStock

by Philipp Grunert

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ISBN13: 9798252150802
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: March 15, 2026
Pages: 234
Original Price: USD 10.99
Language: German
Edition: N/A
Item Weight: 318 grams
BISAC Subject(s): Corporate Governance

About The Book

Warum scheitern so viele KI-Initiativen in Unternehmen, obwohl Technologie und Daten l�ngst vorhanden sind?
Weil nicht die Technik der Engpass ist, sondern die Kultur.

Data Culture im Zeitalter von KI zeigt, warum K�nstliche Intelligenz erst dann echten Mehrwert schafft, wenn Unternehmen Vertrauen in Daten aufbauen, Verantwortlichkeiten kl�ren, Kompetenzen entwickeln und F�hrung neu ausrichten. KI wirkt nicht in Pilotprojekten, Pr�sentationen oder Dashboard-Landschaften - sondern in einer Organisation, die datenbasiertes Denken und Handeln tats�chlich lebt.

Das Buch macht deutlich, was eine AI-ready Data Culture auszeichnet und warum viele Unternehmen trotz hoher Investitionen in Daten und KI nicht besser entscheiden. Es beschreibt die kulturellen Ursachen des Scheiterns, beleuchtet Rollen, Literacy, Governance und Zusammenarbeit und zeigt, wie sich eine tragf�hige Roadmap f�r die ersten 12 Monate entwickeln l�sst.

Statt bei Analyse und Haltung stehen zu bleiben, verbindet das Buch strategische Klarheit mit praktischer Umsetzbarkeit. Checklisten, Worksheets, Vorlagen, Leitplanken f�r den Umgang mit Daten und KI, Rollen- und Literacy-Matrizen sowie ein Roadmap-Canvas machen es zu einem direkten Arbeitsinstrument f�r F�hrungskr�fte, Teams und Transformationsverantwortliche.

Ein Buch f�r F�hrungskr�fte, Entscheiderinnen und Entscheider sowie Verantwortliche aus Data, Analytics, KI, IT, Transformation und Organisationsentwicklung - und f�r alle, die Datenkultur nicht als weiches Thema verstehen, sondern als entscheidende Voraussetzung f�r wirksame KI, bessere Entscheidungen und nachhaltige Zukunftsf�higkeit.

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