Retail Analytics: Actionable Data For Real Results

Retail Analytics: Actionable Data For Real Results

Few technologies have the potential impact to transform a retail enterprise than quality analytics in the hands of associates and decision makers.  But there are a great variety of analytics that are available in the market ranging from Simple Statistics to Descriptive Analytics that tell you what happened and market basket analysis to Prescriptive Analytics (that does modeling and what-if analysis based on historical input + changes) to Predictive Analytics that can actually make decisions when combined with the operational opportunities.

We look at trends, barriers, best practices and provide a forecast for each of the technologies included worldwide.  We also include rankings by revenues for the top vendors for each of the types of Descriptive Analytics, Prescriptive Analytics and Predictive Analytics.

The report is designed for use by Retailers, Hardware Providers, Software Providers, Service Providers and others who might have a vested interest in the worldwide retail IT market. The complete outline is below.

Please note: the PDF e-mail from publisher version of this report is for a global site license.

1.0 Introduction
2.0 Background and Market Overview
2.1 History of Retail Analytics
2.2 Key Players
2.3 Key Accounts of Major Players
3.0 Types of Analytics
4.0 Trends, Drivers, Barriers
8.0 Technology Overviews, Strengths and Weaknesses
9.0 Market Size and Forecast
10.0 Vendor Rankings by Revenues WW and North America
11.0 IHL Insight MarketView Positioning by Analytics Type
12.0 Vendor Revenues by Type of Analytics
13.0 Methodology

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