When a data platform team relies heavily on Databricks SQL Warehouses, cost spikes and performance regressions are somewhat of a given. But understanding why they happen and what to fix remains one of the hardest problems. Our client, a data-driven organization with growing Databricks usage, had strong observability tools in place. However, when costs increased […]

Challenge Pharmaceutical companies possess vast amounts of data, yet often there are challenges to leverage it effectively in their advertising campaigns for drugs. Campaign decisions by  advertising companies are primarily made based on prior experiences and intuition rather than data-driven insights. The challenge lies in harnessing data about doctors’ historical engagement, demographics, and affinity to […]

Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.