AI-powered self-service BI and big data platform for the world's leading retailer
Client
One of the largest retailers that operates a chain of hypermarkets, discount department stores, and grocery stores around the globe
Industry
Retail
Services
Product Development, Data Architecture, Data Management, Data Analytics, Data Visualization
Tech
Cosmos DB, MS Azure, Gremlin, JanusGraph, Cassandra, Java, Python, Kafka, React, Redis
Challanges
The importance of data, its accuracy and availability when and where needed, cannot be overestimated when it comes to business prosperity and leadership. For a company operating on a large scale, getting as close to data as possible becomes even more critical. That’s what our client came to us for. With a huge number of internal users, disparate systems and isolated islands of data began to take a toll on the entire data analysis process resulting in inaccurate insights, poor business decisions and missed market opportunities. Our team was entrusted with the task of creating an AI-driven big data and self-service business intelligence platform to provide the client’s almost 3 million internal users with hassle-free on-demand data access.
Solution
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Refine RPA solutions to cater to specific demands
- Build and improve pre-built models
- Build and improve pre-built models
Solution
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Set up and enhance business processes to optimize data collection
- Build and improve pre-built models
- Refine RPA solutions to cater to specific demands
- Refine RPA solutions to cater to specific demands
- Build and improve pre-built models
- Build and improve pre-built models