How to implement ML and Data Lake in retail successfully

Challenge

The Federation of Migros Cooperatives (FMC) represents the Migros Group and coordinates business policy, goals, and the activity of the 10 Migros cooperatives and affiliated companies. To establish a corporate data strategy and data management, enabling data scientist and engineers working with several types and origins of data, compliant with data regulations like GDPR and Swiss data protection law, is a big challenge and needs a lot of experience in implementing Enterprise Data Lakes.

Solution

FMC uses an Enterprise Data Lake designed by Scigility to reach several targets. A team of Scigility experts delivered highly available platforms and ML applications, like the customer DNA use case, all with comprehensive security functions including seamless integration with the existing data warehouse. This enables FMC marketing to use various digital channels to better understand customer behavior. Based on the collected customer data, new insights can be continuously generated, and services developed accordingly. 

The enterprise data platform enables the handling of current and future AI/ML challenges and ensures optimal interplay between batch- and real-time processing. The use of the Scigility Modern Data & AI Architecture best-practices makes the architecture flexible enough to allow the exchange of technologies and at the same time ensures an efficient, progressive search, analysis, and exploration of the data.