Customer Company Size
Mid-size Company
Region
- Asia
Country
- Hong Kong
Product
- Qlik Sense Enterprise SaaS
Tech Stack
- Cloud Computing
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
- Food & Beverage
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- Data Science Services
- System Integration
About The Customer
Hyakunousha International Limited is a Japanese company that operates a chain of more than 100 grab-and-go stores selling omusubi (Japanese rice balls) under its hana-musubi brand. Founded in 2010, the company sells thousands of omusubi per day throughout Hong Kong. The brand offers around 20 varieties of omusubi along with other food and beverages. As the omusubi are made fresh every day and have a very short shelf life, matching supply to sales is critical for the company. Consumer tastes can also change rapidly, making it essential for Hyakunousha to have up-to-the-minute sales data from all stores to plan and manage its operations.
The Challenge
Hyakunousha International Limited, a Japanese omusubi store operator, faced challenges in obtaining timely sales data from its over 100 stores. The company's existing system only provided standard reports, which then had to be manipulated to gain useful insights. This slow process of data analysis was inefficient and did not support the company's need for up-to-the-minute sales data to plan and manage its operations. Furthermore, Hyakunousha wanted to provide user-friendly tools that staff could use independently to gain the insights they needed. The company aimed to create a 'data-savvy' culture where staff routinely made use of data and data analysis to support planning and decision-making.
The Solution
Hyakunousha chose Qlik Sense Enterprise SaaS as its data analysis tool, with Velocity Business Solutions as its implementation partner. The cloud-based Qlik Sense was chosen for its scalability, which would support Hyakunousha's rapid growth. The solution integrates with the company's point of sale (PoS) system, downloading transaction data every day into Qlik. This data includes the items bought in each transaction and the price paid. All Qlik applications are updated automatically with this data. The rapid availability of data has transformed the organization, with office staff now routinely using and analyzing data. Hyakunousha is also using Qlik to compare current and historical data, with an automated dashboard developed to monitor sales performance.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.