Business Objective / Goal
To consolidate data from multiple business functions into a unified MIS platform, enabling dynamic visualization, real-time reporting, and actionable insights across finance, operations, marketing, and customer service for faster and more informed decision-making.
Solutions & Implementation
- Built a centralized data integration layer using Databricks and Azure BLOB Storage to unify raw data from platforms such as e-commerce, marketing automation, and customer support.
- Used PostgreSQL as the structured database for processed and enriched data to support efficient querying.
- Developed custom, interactive Power BI dashboards for departments like finance, operations, marketing, and supply chain.
- Enabled self-service analytics features for business teams to explore data independently and derive real-time insights.
- Standardized KPI definitions and data pipelines to ensure accuracy, governance, and reusability across the organization.
Major Technologies Used
- Power BI – Dynamic dashboards and real-time data visualization
- PostgreSQL – Structured data storage and fast query engine
- Azure BLOB Storage – Unified storage for raw and processed data
- Databricks – Data transformation, cleansing, and analytics-ready modeling
Business Outcomes
- Company-Wide Visibility Real-time visibility into KPIs accelerated executive decision-making.
- Smarter Financial Forecasting Improved reporting accuracy and agility in forecasting at the department level.
- Marketing Optimization Campaign and engagement analytics informed marketing strategy and spend.
- Operational Efficiency Analytics surfaced inefficiencies, improving cross-functional productivity.
- Stronger Data Culture Self-service insights and KPI alignment promoted agility and innovation.
