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Data Warehousing
We design centralised data warehouses that unify all your business data sources, build predictive ML models on top, and surface insights through beautiful real-time dashboards — turning raw data into decisions.
What We Build
Centralised data warehouse design — consolidate all data sources in one place
ETL/ELT pipelines to ingest, clean, and transform raw data automatically
Predictive ML models for sales forecasting, churn, demand planning
Real-time KPI dashboards for C-suite, operations, and sales teams
Automated report generation — daily/weekly PDF or email reports
Data governance, schema management, and access control policies
Technology Stack
- Warehouse
- BigQuery, Snowflake, PostgreSQL, ClickHouse, Redshift
- ETL/ELT
- Apache Airflow, dbt, Airbyte, custom Python pipelines
- ML / AI
- Scikit-learn, XGBoost, Prophet (forecasting), Vertex AI
- Dashboards
- Grafana, Metabase, Looker Studio, custom React dashboards
- Data sources
- PostgreSQL, MySQL, MongoDB, REST APIs, CSV/Excel, Google Sheets
- Reporting
- Automated PDF reports, scheduled email digests, Slack alerts
Data as a Competitive Edge
Companies that make decisions from centralised, real-time data consistently outperform those relying on gut feeling or delayed spreadsheet reports.
Delivery Process
- 1Data source audit & warehouse schema design (Week 1)
- 2ETL pipeline build & data ingestion (Week 2–3)
- 3ML models & predictive analytics (Week 3–5)
- 4Dashboard build, testing & handover (Week 5–6)
Pricing Guide
- Single-source dashboard — from ₹30,000
- Multi-source data warehouse — from ₹50,000
- Predictive ML model + dashboard — from ₹80,000
- Full BI platform — custom quote