Builds a Bird’s Eye View of 13,000+ Stores with Designer Cloud
€ 250 Million
In diverse sales data has now been able to be analyzed
48 Countries
Feedback sales data into analytics
12 X
Increase in reporting output
Core Challenges
Spar wanted to build a global report of its 13,000 stores that span a total of 48 countries. However, each country operates under its own unique product naming conventions, works with its own suppliers and brands, and often has its own currency. Finding the common denominator in all of that data—let alone standardizing and joining it—was too big of an undertaking. Finally, Spar also wanted to leverage Nielsen data to run comparisons against competition, but this data, too, had its own categorization for products that needed to be standardized to fit Spar’s reporting.
How Designer Cloud Solved this Problem
Spar built a data workflow that relies upon the combination of Amazon S3 buckets and Designer Cloud to store data and then cleanse, standardize, and join it for reporting in PowerBI. With Designer Cloud, Spar has been able to quickly standardize unpredictable retailer data and build a high-level global report that, frankly, the Spar team had never achieved before. On top of that, Spar has also been able to leverage Nielsen data to benchmark store and category performance. The success of this data aggregation project has not only allowed Spar to better understand its global retailers and competitors, but has also prodded the team to ask new, more complex questions that are now possible to answer with this advanced level of reporting.
Benefits
Increased Sales Analysis
With Designer Cloud, Spar has ingested and analyzed over €250m in yearly sales data that was previously not analyzed.
New Business Insights
The global retailer report built with Designer Cloud shines a light on retailer best practices, consumer habits, competitor performance, etc. to help Spar grow its bottom line.
Ease of Use
By leveraging AWS S3 buckets, Spar not only provides their partners with an easy way to deliver data more frequently, but can also collect data from more countries.
