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Business analytics: applications to consumer marketing Sandhya Kurugantiand Hindol Basu

By: Contributor(s): Analytics: Show analyticsPublication details: McGraw-Hill Education 2015 New DelhiDescription: xxxv, 716 p. HardISBN:
  • 9789351341598
Subject(s): DDC classification:
  • 658.8
Contents:
Chapter 1 - Acquisition Chapter 2 - Usage Management Chapter 3 - Cross-Sell Chapter 4 - Retention Management Chapter 5 - Pricing Chapter 6 - Credit Bureau Chapter 7 - Quantitative Methods Chapter 8 - Analytics Ecosystem
Summary: A ready reckoner, for business professionals, analytics practitioners, and students, the book navigates through the customer lifecycle starting from initiation of the relationship with the customer, following through the phase of relationship deepening, and finally customer retention. Themes pertaining to price management, quantitative methods, usage of data sources and analytical infrastructure have been explored in depth, to support data driven decision making Highlights: Addresses strategic imperatives of analytics in an easy-to-comprehend guide linking quantitative analysis to business application Focuses on a customer centric approach for leveraging analytics across the customer life cycle Offers in-depth vision of real-life examples across different industry verticals including Financial Services, Insurance, Telecom, Retail, and Travel and Entertainment sectors Bridges the gap between theory and practice by showcasing the benefits of leveraging analytics for formulating marketing strategies Explores analytical strategy and presents quantitative analysis within the context of a business objective, and not as stand-alone methodologies Caters to business managers, analytics practitioners, business intelligence experts, and students of management and quantitative disciplines who will benefit from the numerous business applications that elaborate on the conceptualization and implementation of analytical solutions for profitable decision-making
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Main Library ON SHELF 658.8/ Kur/Bas/ 30164 (Browse shelf(Opens below)) Available 11130164
Total holds: 0
Browsing Main Library shelves, Shelving location: ON SHELF Close shelf browser (Hides shelf browser)
658.8/ Kot/Ker/ 29744 Marketing management 658.8/ Kot/Ker/ 29745 Marketing management 658.8/ Kri/Ram/ 31847 Rural marketing : 658.8/ Kur/Bas/ 30164 Business analytics: 658.8/ Lal/Que/ 30383 Marketing management : text and cases 658.8/ Lov/Wir/ 29871 Services marketing: 658.8/ Lov/Wir/ 29872 Services marketing:

Chapter 1 - Acquisition
Chapter 2 - Usage Management
Chapter 3 - Cross-Sell
Chapter 4 - Retention Management
Chapter 5 - Pricing
Chapter 6 - Credit Bureau
Chapter 7 - Quantitative Methods
Chapter 8 - Analytics Ecosystem

A ready reckoner, for business professionals, analytics practitioners, and students, the book navigates through the customer lifecycle starting from initiation of the relationship with the customer, following through the phase of relationship deepening, and finally customer retention. Themes pertaining to price management, quantitative methods, usage of data sources and analytical infrastructure have been explored in depth, to support data driven decision making

Highlights: Addresses strategic imperatives of analytics in an easy-to-comprehend guide linking quantitative analysis to business application Focuses on a customer centric approach for leveraging analytics across the customer life cycle Offers in-depth vision of real-life examples across different industry verticals including Financial Services, Insurance, Telecom, Retail, and Travel and Entertainment sectors Bridges the gap between theory and practice by showcasing the benefits of leveraging analytics for formulating marketing strategies Explores analytical strategy and presents quantitative analysis within the context of a business objective, and not as stand-alone methodologies Caters to business managers, analytics practitioners, business intelligence experts, and students of management and quantitative disciplines who will benefit from the numerous business applications that elaborate on the conceptualization and implementation of analytical solutions for profitable decision-making

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