Industry
Financial
Type
Analytical Modeling
Technology
Azure Databricks
What did they need?
To accelerate knowledge generation through actionable advanced analytics that enables more assertive management aimed at increasing the retention of associates and clients, product usage rates, and satisfaction.
How did we support and what was achieved?
- Reduced execution time by 80%.
- Systematized the loading of historical and monthly data, minimizing operational errors.
- Updates are now done on demand, whereas previously they were monthly. Information on predictions and behavior is readily available.
- Increased scenarios and training methodologies, expanding coverage to new clients.