Using Data Lakehouse to rapidly scale an MVP into a corporate-level Data Analytics software.
In a growing software company, the most important project knowledge rarely lives in one place. Architecture decisions sit in code repositories. Team information is stored elsewhere. Budgets live in Drive. Delivery context is spread across project tools, documents, and conversations. Some of the most useful information may never be written down at all. The result […]
Smart reporting with pattern analysis, anomaly detection, and forecasting, providing impactful insights for better decision-making in online retail.