Maler-Einkauf Rhein-Ruhr increases growth in the region with QlikView
Company Size
200-1,000
Region
- Europe
Country
- Germany
Product
- QlikView
Tech Stack
- Business Intelligence Tools
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Inventory Management
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
Maler-Einkauf Rhein-Ruhr, founded in 1919 as a buying association in Essen, is a cooperative wholesaler that consists of 15 branches within the Rhine/Ruhr region. The company serves over 5,000 customers and has 15,000 listed articles. The company operates in a highly regional business, making it difficult to evaluate business data. The company's primary challenge is to better cultivate their customer base specifically through a customer-oriented approach. To achieve this, the company needs to efficiently analyze data from business processes to improve performance.
The Challenge
Maler-Einkauf Rhein-Ruhr, a buying association with 15 branches in the Rhine/Ruhr region, was facing challenges in evaluating its business data due to the large number of customers and listed articles. The company's reporting system consisted of endless lists of printed paper, which was laborious and time-consuming to navigate. The options for questions and analysis were very limited, preventing the management from dynamically and flexibly controlling their sales and purchasing processes. The primary challenge for MEG Rhein-Ruhr was to better cultivate their customer base specifically through a customer-oriented approach, which required highly efficient analysis of data from business processes to improve performance.
The Solution
Maler-Einkauf Rhein-Ruhr deployed QlikView to a handful of users in a matter of weeks. With QlikView, the company can now access and flexibly analyze available business data, comparing target and actual figures, and measuring them against external information sources. The analytical perspective in QlikView can be easily adapted with a few mouse clicks since all of the data is permanently stored in the main memory. This allows the management of the buying association to prepare for discussions with customers, suppliers, and colleagues in sales in a comprehensive manner. QlikView is now used for a range of questions at MEG Rhein-Ruhr. For example, the IT manager can comfortably evaluate log data to efficiently manage the system. If a new branch needs to be opened to promote regional growth, both the best location and ideal product line can be determined using QlikView.
Operational Impact
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
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
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.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
