Analytics

Cycle Gear Uses Analytics Tool to Optimize In-Store Staffing, Profits
July 23, 2018 at 1:46 pm

In episode 155 of Total Retail Talks, Rodger O'Keefe, vice president of retail store operations at Cycle Gear, provides insights into how the omnichannel retailer of motorcycle parts, gear and accessories is using an analytics platform to help it inform staffing decisions at its 130-plus brick-and-mortar stores, resulting in improvements to the company's bottom line.

Customer Stress Shopping: Where Are Retailers Going Wrong?
July 17, 2018 at 10:46 am

According to newly released research from Clicktale, as many as 75 percent of consumers admit to engaging in "stress shopping" โ€” i.e., using impulse purchases and shopping sprees as a way to relieve negative emotions. But while most of us would be happy to admit that our shopping patterns are emotionally driven, few retailers seemโ€ฆ

Are You Listening? The Truth About What Customers Want in a Digital World
July 16, 2018 at 3:09 pm

This report from customer engagement and analytics software provider Calabrio includes responses from more than 3,000 consumers in the U.S. and U.K. about the customer experience journey, and what motivates them. The findings are clear: human nature is how customers think, feel and act โ€” and it drives their digital behavior. To gain their loyalty, customers should feel heard and have an emotional attachment to the brand, and that can only be created through the human connection.

Predictive Analytics, Omnichannel Fulfillment Help ALDO Group Be More Profitable
July 16, 2018 at 11:08 am

With 3,000 points of sale in over 100 countries around the world, ALDO Group, a designer, manufacturer and retailer of footwear and accessories, sought a solution to help it better optimize its inventory across its online and offline sales channels. After a thorough vetting process, ALDO announced that it was partnering with Celect, a predictiveโ€ฆ

Why Location Data is a Must-Have to Win Big in Retail
June 22, 2018 at 10:20 am

Was the search campaign, the Facebook ad or the TV spot the most impactful for the sale? Identifying attribution โ€” i.e., which piece of marketing actually helped drive customers into stores and online shopping carts โ€” is a hugely important challenge for Fortune 100 companies and startups alike. Yet brands aren't shying away from theโ€ฆ

Keeping Up With the Competition: Retail Lessons
May 31, 2018 at 10:23 am

Was the search campaign, the Facebook ad or the TV spot the most impactful for the sale? Identifying attribution โ€” i.e., which piece of marketing actually helped drive customers into stores and online shopping carts โ€” is a hugely important challenge for Fortune 100 companies and startups alike. Yet brands arenโ€™t shying away from the [โ€ฆ]

Retailers Are Bullish on Cloud Analytics, But Need to Speed Up the Pace
May 18, 2018 at 9:32 am

Compared with other industries, retailers are ahead in some areas of cloud analytics โ€” and lag in others. A new survey from Teradata reveals that retailers continue to invest heavily in cloud analytics to stay ahead of competitors and innovate for customers. The largest global retailers are moving their analytics operations to the cloud atโ€ฆ

Retail Analytics Report
May 16, 2018 at 12:34 pm

Compared with other industries, retailers are ahead in some areas of cloud analytics โ€” and lag in others. A new survey from Teradata reveals that retailers continue to invest heavily in cloud analytics to stay ahead of competitors and innovate for customers. The largest global retailers are moving their analytics operations to the cloud at [โ€ฆ]

Retailers Are Bullish on Cloud Analytics, But Need to Speed Up the Pace
May 4, 2018 at 5:53 pm

Compared with other industries, retailers are ahead in some areas of cloud analytics โ€ฆ and lag in others. A new survey from Teradata reveals that retailers continue to invest heavily in cloud analytics to stay ahead of competitors and innovate for customers.

Retail Analytics: More Than Just Numbers
April 11, 2018 at 12:49 pm

An ever-increasing number of retailers are searching for undiscovered opportunities using data science and machine learning. Massive volumes of data in storage networks are accumulating daily for retailers to explore, but without the right tools and methods to understand their meaning, itโ€™s all just noise. Choosing the right high-performance computing technology, developing the best processesโ€ฆ