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AwareData engineering · RetailBig data · Brussels
Case Study

Retail Data Engineering

Reliable retail data to extract value and insights across several countries.

Aware (“Altogether We Are Retailers”) is a Brussels-based retail big data start-up that provides high-added-value data to brands and retailers. In 2023, we worked on data engineering to make that data reliable and well structured.

2023
year of the missionData engineering mission
Retail
retail dataBig data from retail
Bruxelles
tech start-upRetail big data
4+
countries servedFrance, Belgium, Portugal, Poland
Client
Aware
Retail data, Brussels
Industry
Retail
Food retail
Year
2023
Single engagement
Role
Data engineering
Data and pipelines
Countries
4+
France, Belgium, Portugal, Poland
The Challenge

Making retail data
usable.

Retail data is large and varied: products, stores, sales, countries. To extract value from it, it must first be collected, structured and made reliable.

Aware works across several countries, which calls for solid, shared data foundations.

Volume and variety
Multiple sources and large volumes to process in a repeatable way.
Reliability
Trustworthy analysis requires clean, checked and traceable data.
Scaling
Industrialised cloud processing usable across several countries.
The Solution

Data foundations
for analytics.

Our role was data engineering: building and hardening the processing that feeds Aware’s products and analytics.

①
Collection and structuring

Repeatable data processing to collect, normalise and organise retail data.

Data engineeringPipelinesRetail
②
Quality and reliability

Quality checks and rules so data science and product teams can rely on trusted data.

Qualité des donnéesContrôlesTraçabilité
③
Cloud industrialisation

Running the processing in the cloud to make it reliable, automated and reusable across countries.

CloudAutomatisation
Impact

A data foundation
ready for analytics.

2023
mission delivered
Data engineering
4+
countries covered
France, Belgium, Portugal, Poland
Retail
big data
Retail
BotiqueAI
Data engineering and custom AI
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