JD Sports uses analytics to plot store growth
Business analytics technology from SPSS may prove vital to the future growth of retailer JD Sports.

British sports retailer JD Sports will use analytical technology from IBM to make sure that future stores are opened in the right areas for the best sales.
It will use software from SPSS, a data analytics firm recently bought by IBM for $1.2 billion, and part of a $12 billion spending spree by the tech giant on a new business analytics portfolio.
According to JD Sports site research and development manager Alastair Browne, the software will play a "crucial" part in deciding where to successfully place new stores, because it could be very costly for the business to get that wrong.
Before 2005, JD Sports relied on gut feeling to decide where new stores should be opened, but after Browne joined JD Sports it set up a specific site research department.
This was tasked with providing and collating information, for a much more scientific approach to decision making.
Browne had already used standard sales forecasting techniques using existing data with success, but decided to start using the 'SPSS Modeler' as JD Sports now covered a vast amount of the UK.
"We need to drive and understand in more detail the interaction between the number of different variables that drives a stores performance," he said. "By understanding that, it might open up new markets which we previously disregarded."
Sign up today and you will receive a free copy of our Future Focus 2025 report - the leading guidance on AI, cybersecurity and other IT challenges as per 700+ senior executives
"Secondly given our coverage of the UK now, we also need to understand the impact of sales cannibalisation on our existing estate," he added.
"We don't want to be opening new stores and finding they are drawing trade from existing stores, and all we're doing is moving our sales around and not generating income."
The analytic forecasting predicts what happens if a store was opened in a certain area, by looking at factors such as the catchment area, demographics of the town and how friendly the population are to the JD brand.
Once the profile of the population is looked at, the software examines what size of store will be required, and whether other retailers in the area fit well with the sports business.
"A lot of the big companies, in particular Debenhams and Tesco, have embraced this technology for a number of years," Browne said.
"I think those with customers that have a loyalty card and a volume of customer data coming in use this software to make sure that the right products reach the consumer, as well as place stores in the right places," he added.
-
How to implement a four-day week in tech
In-depth More companies are switching to a four-day week as they look to balance employee well-being with productivity
-
Intelligence sharing: The boost for businesses
In-depth Intelligence sharing with peers is essential if critical sectors are to be protected
-
‘There is no law of computer science that says that AI must remain expensive and must remain large’: IBM CEO Arvind Krishna bangs the drum for smaller AI models
News IBM CEO Arvind Krishna says smaller, more domain-specific AI models have become the most efficient and cost-effective options for enterprises.
-
IBM puts on a brave face as US government cuts hit 15 contracts
News Despite the cuts, IBM remains upbeat after promising quarterly results
-
IBM completes HashiCorp acquisition after regulatory approval
News IBM has completed its $6.4 billion acquisition of cloud automation and security firm HashiCorp,
-
IBM eyes Oracle expertise gains with latest acquisition
News The deal aims to help IBM address the complexities of public sector cloud transformation
-
UK regulator to investigate IBM takeover of HashiCorp
News The CMA is concerned that the merger could affect competition in the cloud services market
-
Channel Focus: All you need to know about IBM's partner program
How Big Blue seeks to go deep, tackling enterprise complexity: A brief guide to the role of partners in IBM's plan to accelerate software and consulting sales.
-
Put AI to work for talent management
Whitepaper Change the way we define jobs and the skills required to support business and employee needs
-
The power of AI & automation: Productivity and agility
whitepaper To perform at its peak, automation requires incessant data from across the organization and partner ecosystem.