Business analytics: applications to consumer marketing

By:

Kuruganti, Sandhya

Contributor(s):

Basu, Hindol

Material type: Text

TextPublication details: McGraw Hill Education (India) Pvt. Ltd. New Delhi 2018Description: xxv, 716 pISBN:

9789351341598

Subject(s):

Business Analytics -- Marketing

DDC classification:

658.8 KUR

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

List(s) this item appears in: IT & Decision Sciences

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	658.8 KUR (Browse shelf(Opens below))	1	Available		000575

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Previous	658.575 UND Future tech:	658.575201 LAL Design thinking:	658.7028557 RAH Big data analytics in supply chain management:	658.8 KUR Business analytics: applications to consumer marketing	658.8 PAN The role of smart technologies in decision making:	658.84 WIR Digital business and electronic commerce: strategy, business models and technology	658.872 CHA Digital business and e-commerce management	Next

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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