Download PDF
Alshaya Group Case Study
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Logistics & Transportation
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Alshaya Group, a leading name in international brand franchising, was looking to overhaul its existing legacy data architecture as part of its digital transformation journey. The company aimed to implement modern retail and merchandising solutions for better order, inventory, and warehouse management across all their locations. The primary focus was to deploy a standardized data migration framework that could intelligently handle the high volume and velocity of historical data belonging to each brand category. The company opted for a hybrid cloud approach to achieve this objective, which required moving historical data from its legacy ERP systems into an enterprise data warehouse and making trusted data available for real-time analytics through cloud applications. However, Alshaya Group faced challenges in all three key foundational areas of digital transformation: people, process, and technology. The company didn't have the technical resources, dedicated processes, and the right technology stack to build and sustain a standardized framework for moving historical data to its enterprise data warehouse.
About The Customer
Alshaya Group is a leading name in international brand franchising with a comprehensive portfolio of businesses and investments in various divisions, including food, fashion, pharmacy, health & beauty, leisure, home furnishings, and entertainment. Established in 1890, the company has experienced substantial growth over a century, expanding its reach from the MENA region to Europe, Turkey, and Russia. Today, the retail giant owns over 4000 stores, carrying 90+ renowned brands, including Starbucks, H&M, American Eagle, The Body Shop, and more. One of Alshaya Group's core values is delivering a stellar customer experience. With rapid shifts in the global market and consumer behaviors across its diverse range of brand categories, the company needed to stay updated with the evolving customer requirements.
The Solution
After evaluating several data management solutions, Alshaya Group partnered with Astera Software and Dvsum to combine their technologies and fill the people, process, and technology gaps in their current approach. Astera Centerprise serves as the primary data integration tool to orchestrate the ETL process from legacy sources to populate the enterprise data warehouse with clean, trusted data. The DvSum Enterprise Data Quality tool provides data discovery capabilities to build a comprehensive catalog for profiling and enriching the source data. Once the data catalog has been developed, the DvSum tool cleans, transforms, and validates the data for errors, like mismatching values, formatting issues, incomplete fields, and others. Centerprise pulls the verified data from the staging database and stores it in XML and flat file formats, which are then delivered to the target data warehouse.
Operational Impact
Quantitative Benefit
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.