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Big Data in Retail

Published

July 2013

Pages

36

Pricing

Single-user License: $ 995 USD
Company-wide License: $ 2,995 USD
Team License: $ 1,995 USD

Keywords

Big Data, Retail Shopping Analytics, Big Data Retail

Overview

The retail industry represents a large portion of the world economy, consists of a large ecosystem, and has experienced some significant challenges and opportunities in recent years.

One rather significant issue is the so called "Showrooming" in which consumers test/compare products and buy them elsewhere. This is a particular problem for Big Box stores that display consumer electronics, major appliances, and other items that can be purchased online yet experienced best in-person.

Issues such as these have forced retailers to get smarter and begin to employ in-depth real time analysis of massive data that is generated on a daily basis through various consumer interactions. The use of Big Data, analytics, and reporting can generate insights that will determine future solutions and opportunities to improve the bottom line for retailers.

See Table of Contents for complete list of areas covered.

Audience

  • Big Data Service providers
  • Big Box and Online retailers
  • Telecommunications service providers
  • Online and Mobile Marketing companies
  • E-commerce and Mobile Commerce providers

Table of Contents

  • Executive Summary
  • Introduction
  • What is Big Data?
  • Volume
  • Variety
  • Velocity
  • Big Data Categories
  • Structured Big Data
  • Un-Structured Data
  • Semi-Structured Data
  • Data Mining
  • Data Mining Techniques
  • Data Warehousing
  • Importance of Big Data
  • Pattern Discovery
  • Decision Making
  • Process Invention
  • Increasing Revenue
  • Big Data Growth Drivers
  • Awareness
  • Software
  • Services
  • Investment
  • Big Data Challenges
  • Data Challenges
  • Process Challenges
  • Management Challenges
  • Big Data Technology
  • Sensors
  • Computer Networks
  • Data Storage
  • Cluster Computer Systems
  • Cloud Computing Facilities
  • Data Analysis Algorithms
  • Retail Merchant Challenges
  • New Online Shopping Dynamics
  • Big Data in Retail
  • Big Data Business Usage
  • Direct Mail Marketing
  • Customer Relationship Management (CRM) and Customer Profiles
  • Category Management and Inventory Control
  • Market Basket Analysis
  • Web Site Analysis and Personalization
  • Additional Possible Retail Applications
  • Gathering Data about Shopping Habits
  • Benefits from Big Data Analytics for Retailers
  • Retailer Habits
  • Retailers Are Innovators
  • Retailers Unlock Big Data
  • Retailers Maximize Technology Use
  • Retailers Use Analytics to Personalize Products
  • Retailers Are OmniChannel Oriented
  • Retailers Measure What Matters
  • Retailers Stay True To Their Company Strategy
  • Big Data and Retail Business
  • Volume
  • Velocity
  • Variety
  • Value
  • Relationship with Retail Business
  • Right Product
  • Right Place
  • Right Time
  • Right Price
  • Big Data in Retail Business Cases
  • Consumer Electronics
  • Best Buy
  • INSOURCESM Solution from Experian
  • For the Home
  • Bed Bath and Beyond (BBB)
  • General Consumer Items including Food
  • Walmart
  • Social Genome
  • ShoppyCat
  • Get on the Shelf
  • Macy's
  • SAS® Business Analytics
  • Debenhams
  • Sky IQ
  • Williams-Sonoma
  • Big Data for Retailer Business Models, Companies and Solutions
  • Personalization
  • Synqera
  • Synquera Loyalty Generator
  • NGDATA
  • Lily Interactive Big Data Management Solution
  • Dynamic Pricing
  • Altierre
  • Customer Service
  • Retention Science
  • Fraud Management
  • RSA
  • Transaction Protection by Risk-based Authentication (RBA)
  • Supply Chain Visibility
  • Opera Supply Chain Solutions
  • Stock Control
  • Stocktake
  • Sales Order Processing
  • Purchase Order Processing
  • Bill of Materials
  • Predictive Analytics
  • SumAll
  • SumAll Reporting
  • Future Outlook
  • More About Customer Behaviour
  • More Security
  • Direct Relationship with Consumers
  • More Mobile