Project Mart
Decisions Backed by Data

Data Analytics & BI in Bengaluru

We architect end-to-end data pipelines—from ETL to dashboard—that give Bengaluru companies a single source of truth.

Key Offerings

Analytics that unlock growth levers

🏛️

Data Warehousing

Centralised, scalable storage

Benefit: Snowflake or BigQuery schemas designed for fast queries.
⛓️

ETL/ELT Pipelines

Automated data ingestion

Benefit: Fivetran or Airbyte connectors with dbt transformations.
📊

Interactive Dashboards

Self-serve analytics

Benefit: Looker, Power BI, or Tableau dashboards with role-based access.
📈

Predictive Modelling

Forecast tomorrow’s KPIs

Benefit: Python & MLflow pipelines for churn, demand, and sales predictions.
🧮

Marketing Attribution

Channel ROI clarity

Benefit: MTA, MMM, and first-party data stitching across web & app.
🔐

Data Governance & Security

Trust your numbers

Benefit: Role-based access control, PII masking, and audit logging.

Why Choose Us

Data engineering meets business context

Actionable

Business-First KPIs

Dashboards map directly to revenue drivers, not vanity metrics.

Accessible

Code & No-Code Blend

We leverage SQL and visual tools so any team can explore data.

Live Data

Real-Time Pipelines

Streaming ingestion for up-to-the-minute decision-making.

Future-Proof

Scalable Architecture

Elastic warehouses handle terabytes without performance loss.

Technology Stack We Use

Modern data tooling & cloud warehousing

🏛️

Snowflake / BigQuery

Cloud-native, elastic warehouses.

🔌

Fivetran / Airbyte

Managed connectors for 300+ data sources.

⚙️

dbt

Version-controlled SQL transformations.

📊

Looker / Tableau / Power BI

Interactive visual analytics.

🐍

Python / MLflow

Machine-learning model development & tracking.

Great Expectations

Data-quality checks and lineage.

Success Stories from Bengaluru

Insights that drove impact

“Marketing ROI dashboards uncovered ₹1.2 crore in wasted spend—course correction was instant.”
Kiran N.
“Predictive inventory model cut stock-outs by 37 % across Bengaluru stores.”
Neha Agarwal
“Self-serve dashboards reduced ad-hoc report requests by 60 %.”
Suresh Pillai

Frequently Asked Questions

Data clarity for non-analysts

How long to implement a warehouse & dashboards?+
Typical MVP in 6–8 weeks with incremental sprints thereafter.
What if our data is messy?+
Data-quality frameworks and transformation layers clean and normalise incoming sources.
Do you train internal teams?+
Yes—workshops cover SQL basics, dashboard usage, and KPI governance.
Is our data secure?+
VPC peering, row-level security, and SOC 2-compliant best practices are standard.
Can you connect to legacy ERPs?+
Custom connectors or on-prem agents bridge older systems into the warehouse.
What ongoing support do you offer?+
Managed data-ops plans cover monitoring, optimisation, and new metrics.

Ready to Turn Data into Your Competitive Edge?

Book a free data-maturity workshop and receive a roadmap tailored to your KPIs.