Marketing database analytics : transforming data for competitive advantage

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Title:

Author:

Banasiewicz, Andrew D.

ISBN:

9780415657877

9780415657884

9780203076460

Personal Author:

Banasiewicz, Andrew D.

Publication Information:

New York : Routledge, 2013.

Physical Description:

xix, 376 p. : ill. ; 26 cm.

General Note:

Formerly CIP.

Contents:

Machine generated contents note: 1.The Informational Advantage -- The Age of Data -- The Believability Factor -- What is Knowledge? -- Knowledge as a Strategic Asset -- The Emerging Field of Database Analytics -- About This Book -- 2.The Marketing Database Analytics Process -- Approach and Philosophy -- The Marketing Database Analytics Process -- 3.Organizational Objectives and Informational Needs -- Organizational Goals -- Informational Objectives -- 4.Skills and Tools -- Skills and Tools -- Process Requirements -- 5.Analytic Planning -- Analytic Planning -- Planning Framework -- Mini-Case 5.1: Analytic Planning and Customer Loyalty Programs -- 6.Data Basics -- Data and Databases -- Databases in a Nutshell -- Data: Types -- Data: Contents -- It Is Not About the Digits -- Textual Information -- Single vs. Multi-Source Analytics -- Mini-Case 6.1: Multi-Source Analytics -- 7.Analytic File Creation -- Data Gathering -- Analytic Dataset Creation -- Metadata --

Contents note continued: Mini-Case 7.1: My Know-How and Your Data -- 8.Exploratory Data Analyses -- Initiating Data Analyses -- Database Analytics and Data Exploration -- The Exploratory Data Analysis Process -- Data Reduction -- Mini-Case 8.1: New Insights or Spurious Associations? -- 9.Segmentation -- Simple Yet Complex -- The Evaluation Process -- Loyalty Segmentation -- Mini-Case 9.1: Segmenting the Leisure Boating Market -- 10.Behavioral Predictions -- Behavioral Predictions and Decision Support -- Threat Anticipation -- Opportunity Identification -- Mini-Case 10.1: Consumer Coupons and Look-Alike Modeling -- 11.Action-Attributable Incrementality -- Incrementality Measurement -- Impact Assessment -- Action-Result Effect Estimation -- Profit Impact -- Mini-Case 11.1: Estimating the Efficacy of Wireless Carriers' Advertising -- 12.Database Scoring -- Model Calibration -- Database Scoring -- Mini-Case 12.1: Consumer Coupons and Look-Alike Modeling Scoring --

Contents note continued: 13.From Findings To Knowledge -- Knowledge Implementation -- Deployment -- Updating -- Mini-Case 13.1: Deploying Database Marketing as a New Customer Acquisition Tool -- 14.Organizational Knowledge Sharing -- Analytic Insights and Decisioning -- Dashboards and Scorecards -- Report Deployment: A Normative Framework -- Mini-Case 14.1: Communicating with Non-Technical Audiences -- 15.In Closing -- Sputnik and Internet -- The Semantic Web.

Subject Term:

Marketing -- Databases.

Marketing -- Data processing.

Database management.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025595402	658.80028557 B212M 2013	1	Searching... Unknown

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Summary

Marketing Database Analytics presents a step-by-step process for understanding and interpreting data in order to gain insights to drive business decisions. One of the core elements of measuring marketing effectiveness is through the collection of appropriate data, but this data is nothing but numbers unless it is analyzed meaningfully.

Focusing specifically on quantitative marketing metrics, the book:

Covers the full spectrum of marketing analytics, from the initial data setup and exploration, to segmentation, behavioral predictions and impact quantification Establishes the importance of database analytics, integrating both business and marketing practice Provides a theoretical framework that explains the concepts and delivers techniques for analyzing data Includes cases and exercises to guide students¿ learning

Banasiewicz integrates his knowledge from both his academic training and professional experience, providing a thorough, comprehensive approach that will serve graduate students of marketing research and analytics well.