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Aligning business strategies and analytics : bridging between theory and practice

Author: Murugan Anandarajan; Teresa D Harrison
Publisher: Cham, Switzerland : Springer, [2019]
Series: Advances in analytics and data science, v. 1.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

This book examines issues related to the alignment of business strategies and analytics.

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Genre/Form: Electronic books
Additional Physical Format: Print version:
(OCoLC)1035255890
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Murugan Anandarajan; Teresa D Harrison
ISBN: 9783319932996 3319932993
OCLC Number: 1055460116
Description: 1 online resource
Contents: Chapter 1: Aligning Business Strategies and Analytics: Bridging Between Theory and Practice.- Chapter 2: Cognitive Computing: Impacts on Financial Advice in Wealth Management.- Chapter 3: Living or Dying in the Mashup of American Financial Services: Literate Does Not Mean Competent.- Chapter 4: Improving Fleet Management Strategy and Operational Intelligence with Predictive Analytics.- Chapter 5: Aligning Data Analytics and Supply Chain Strategy in the Biopharmaceutical Industry.- Chapter 6: Importance of Project Management in Business Analytics: Academia and Real-world.- Chapter 7: A Review and Future Direction of Business Analytics Project Delivery.- Chapter 8: Aligning Operational Benefits of Big Data Analytics and Organizational Culture at WellSpan Health.- Chapter 9: HR Analytics: Human Capital Return on Investment, Productivity and Profit Sensitivity: A Case of Courtyard Marriott Newark at the University of Delaware.- Chapter 10: Delivering Internal Business Intelligence Services: How Different Strategies Allow Companies to Succeed by Failing Fast.- Chapter 11: Aligning Analytics with Marketing Strategy: Using Analytics to Drive Marketing Strategy with New Media Applications.- Chapter 12: Aligning Data Analytics and Strategy in the Chemical industry.
Series Title: Advances in analytics and data science, v. 1.
Responsibility: Murugan Anandarajan, Teresa D. Harrison, editors.

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