Zennisshoku taps QlikView to analyze POS system data

Zen-Nippon Shokuhin, Japanese voluntary independent retailer chain, has deployed QlikView to analyze point of sales (POS) system data with help from partner K.K. Ashisuto.

Zen-Nippon Shokuhin (Zennisshoku) can tap the purchase history of each customer with frequent shoppers’ program and provide discounts to the customer after analyzing their Zennisshoku membership card at a retail store.

The retail chain said apart from retail stores, manufacturers also use data from the frequent shoppers’ program for their direct marketing purposes.

QlikView allows user to take full advantage of the vast amount of big data obtained from membership card and receipt data using robust platform.

Additionally, with associative data model, users can explore data freely uncovering insights around receipt data.

Qlik also provide robust security to meet individual users’ needs and requirements for public external users.

Qlik

The Qlik solution is easy to use and enable user to explore data freely and provide real-time data analysis.

“QlikView has enabled us not only to analyze our own data, but to share that data in an interactive and actionable way with our manufacturers,” said Akira Onda, Corporate Deputy Director, Division President, Information System Division, Zennisshoku.

In addition, Ashisuto worked with Zennisshoku to develop QlikView user interface, conducted performance testing and improved the support for the program.

Company officials said manufacturer can leverage the guided analytics experience for high-quality analysis on their own, without relying on data scientists.

In March, OVS, an Italian value fashion retailer, has deployed Qlik Sense in the sourcing and supply department to streamline purchasing departments across the organizations.

Last year in January, Flughafen ZUrich, the operator of Zurich Airport, deployed QlikView to analyze performance data to ensure better flight operations.

Also, TELUS International used QlikTech’s cloud-based QlikView solution to improve its performance and provide critical details of its call center operations to its clients.

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