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  • MPI Ethno. Forsch.  (3)
  • Loshin, David  (2)
  • International Business Machines Corporation
  • Business intelligence  (3)
Datenlieferant
  • MPI Ethno. Forsch.  (3)
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  • 1
    ISBN: 9780133835922 , 0133835928
    Sprache: Englisch
    Seiten: 1 online resource (1 v.) , ill.
    Schlagwort(e): Business intelligence ; Business enterprises ; Computer networks ; Decision making ; Decision making ; Statistical methods ; Electronic books ; Electronic books ; local
    Kurzfassung: How to Transform Your Organization with Analytics: Insider Lessons from IBM's Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn't just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won't happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM's pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn't work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics "Measuring the immeasurable" and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics
    Anmerkung: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed June 06, 2014)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Waltham, MA : Morgan Kaufmann
    ISBN: 9780123858900 , 0123858909
    Sprache: Englisch
    Seiten: 1 online resource (1 v.) , ill.
    Ausgabe: 2nd ed.
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Business intelligence ; Knowledge management ; Information technology ; Management ; Management information systems ; Electronic books ; local ; Electronic books
    Kurzfassung: Business Intelligence: The Savvy Managers Guide, Second Edition , discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. Guides managers through developing, administering, or simply understanding business intelligence technology Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge Contains a handy, quick-reference to technologies and terminology
    Anmerkung: Includes bibliographical references and index. - Description based on print version record
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Amsterdam ; : Elsevier/Morgan Kaufmann | Boston, Mass. :Safari Books Online,
    ISBN: 9780123742254 , 0123742250
    Sprache: Englisch
    Seiten: xxv, 274 p , ill. , 24 cm
    Schlagwort(e): Management information systems ; Database management ; Data warehousing ; Business intelligence ; Electronic books ; local ; Electronic books
    Kurzfassung: The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM-an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. * Presents a comprehensive roadmap that you can adapt to any MDM project. * Emphasizes the critical goal of maintaining and improving data quality. * Provides guidelines for determining which data to "master. * Examines special issues relating to master data metadata. * Considers a range of MDM architectural styles. * Covers the synchronization of master data across the application infrastructure.
    Anmerkung: Includes bibliographical references (p.259) and index
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