Undocumented code bottlenecked insights. AI automated the migration, enabling 107 non-technical staff to query the data lake.
One of Brazil's leading retailers serves millions of customers across online platforms and over 800 physical stores, managing a data environment with 400 jobs and 170 users.
A legacy SAS environment disconnected analysts from the data lake, forcing manual data movement and relying on a decade of accumulated, undocumented...
“Databricks Assistant was the core tool for our successful migration. It automated the conversion of 80–90% of SAS ETL scripts and helped us address challenges with outdated and undocumented SAS code.”
Omnichannel retailer of electronics, furniture, and appliances in Brazil.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
SQL barriers meant queries took six hours. Staff now ask questions in Teams to get unified insights in two minutes.
Basic queries sat in a three-day queue. Now, staff ask the AI in natural language for instant answers without knowing SQL.
Staff hand-detailed every product. Now, AI scans photos to retrieve specs and generate descriptions automatically.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.