Customer Analytics

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Customer Analytics

A collection of news, articles and other featured content about Customer Analytics.

Nike is expanding its store concept that blends data science and personalized service, opening two new stores built from what it has learned from 80-plus tests delivered through the pilot. Peek inside these cutting-edge Nike shops.

The official kick off of the holiday shopping season is just three weeks away, but it is never too late to gain a competitive edge. Check out these key shopper trends that will define the season and be better prepared for the holiday madness.

In this unique Special Report, RIS uncovers why a small group of retailers are scoring big gains in the battle for consumers and how they are reshaping the competitive landscape. Join us as we examine consumer behaviors in grocery retail and the significant steps retailers are taking and the technologies they are implementing to respond to them.

At Teradata Universe the big data and analytics leader announced its flagship solution, Teradata Vantage, will soon be coming to Google Cloud. The partnership expands Teradata’s cloud reach to all three leading public cloud companies, offering its customers greater flexibility.

Understanding the customer doesn’t need to be a guessing game. Through modern data science practices and technology retailers can find out exactly what consumers are saying about their products and implement changes and updates in real-time.

Advanced analytic engines embedded in retail applications can optimize every decision and business process. The RIS Advanced Retail Analytics Study uncovers practical strategies and executable tactics that will guide retailers to maximize sales, inventory, customer engagement, and more.

Back to school is the second biggest shopping season and can make or break a retailer’s entire budget. See which retailers had the most successful season.

Every retailer wants to customize the shopping experience, but very few have achieved a level of personalization that is both desirable and seamless across channels. According to a recent survey, these retailers have come closest.

Its new solution connects data between systems and partners, monitors operations, enables business intelligence, and drives machine learning-enabled predictive decisioning.

Art Retailing Science

Retail success in the modern era requires a deep connection between the shopper and the retailer — a connection that is built and maintained thanks to memorable experiences. This special report explores the retailers that are leading in experiential retailing and gives practical tips on how to best blend old-school retailing techniques with new-school data based approaches.

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