Data Analytics & BI

Your data exists.
Your decisions shouldn't
wait for it to be found.

Live dashboards, clean data pipelines, and BI tools that give your leadership team the numbers they need — without asking a developer to run a query every morning.

48-hour dashboard delivery
Real-time or scheduled
Looker · Power BI · Metabase
Business Intelligence · Live updated 2s ago
₹4.2Cr
Revenue
↑ 18% MoM
1,847
Orders
↑ 12%
94%
SLA
↑ 3pts
Revenue Trend · 12 weeks
Direct 26%
Organic 22%
Paid 22%
Top region Tamil Nadu
Avg order ₹2,280
Churn rate 2.4%
NPS score 72
0
First dashboard live
0%
Avg data quality after cleanup
0+
BI projects delivered
Faster reporting vs manual

You have data everywhere. Insight nowhere.

Most businesses sit on months of transaction, customer, and operational data that nobody has time to analyse. The numbers that could drive strategy are locked in Excel exports nobody reads.

"Our weekly report is a 400-row Excel file that nobody reads"

A live dashboard with the 8 numbers that matter gives leadership the answer they need in 10 seconds — not after 40 minutes of pivot table navigation.

"Our data lives in 6 different systems with no single view"

A data warehouse pulls from every source — CRM, ERP, marketing, finance — and stores clean, joined data in one place. One query answers questions no single system can.

"We need a developer every time we want a different cut of the data"

Self-service BI tools like Metabase or Looker let non-technical users explore data, build charts, and answer their own questions — without tickets or SQL knowledge.

"Our month-end report takes 3 days to produce"

Automated ETL pipelines run on schedule. When the finance team opens the dashboard on the 1st, it's already current — populated overnight, not manually compiled that morning.

From Raw Data to Actionable Intelligence

We build the full data stack — pipelines, warehouses, and the dashboards your business actually uses to make decisions.

BI Dashboards

Executive dashboards, operational monitors, and departmental reports on Looker Studio, Power BI, Metabase, or Grafana. Live or scheduled refresh — whatever your data demands.

Data Warehouse

BigQuery, Redshift, or Snowflake data warehouses with schemas designed for your reporting needs. Historical data going back years, queryable in seconds.

ETL Pipelines

Automated data pipelines from every source — databases, APIs, spreadsheets, third-party SaaS — transformed, cleaned, and loaded on schedule without manual intervention.

Data Quality

Profiling, deduplication, and validation rules that catch data quality issues automatically — before they corrupt your analysis or mislead your reports.

Predictive Analytics

Demand forecasting, customer churn prediction, and inventory optimisation models built on your historical data and updated automatically as new data arrives.

Self-Service Analytics

Configured Metabase or Looker environments where your team explores data, builds their own charts, and answers questions without filing a developer ticket.

Modern tools, practical choices

We use the right tool for the scale. A startup with 50k rows doesn't need Snowflake. An enterprise with 50M rows shouldn't be running Metabase on a shared server. We architect for your actual data volume, not for the most impressive-sounding stack.

BigQuery Redshift Snowflake Looker Studio Power BI Metabase dbt Airflow Grafana
What good data infrastructure makes possible
Leadership sees yesterday's numbers at 8am — without asking anyone to run a report
Sales can filter any metric by region, product, or time period with zero developer help
Anomalies in revenue or operations trigger automatic alerts before they become crises
Finance closes the month in one day instead of three because all data flows are automated
Strategy meetings are about decisions, not about whose spreadsheet has the right numbers

Audit → Model → Pipeline → Dashboard

1
Phase 01

Data Audit & Strategy

Inventory of all data sources, quality assessment, and a reporting requirements workshop with your leadership team. Output: a prioritised data roadmap with the dashboards that matter most.

2
Phase 02

Data Modelling

Warehouse schema design — fact and dimension tables that answer your specific business questions efficiently. Good modelling is what makes dashboards fast and reports intuitive.

3
Phase 03

Pipeline Build

ETL pipelines extracting from every source, transforming via dbt, and loading to your warehouse on schedule. Data quality tests run automatically at each stage.

4
Phase 04

Dashboard & Training

Dashboards built to your approved wireframes, access controls configured, and a training session so your team explores data independently from day one.

"

Our month-end report went from 3 days of manual work to a live dashboard that's always current. The first time I opened it at 8am on the 1st of the month and saw last month's numbers already there, I actually called to say thank you.

DL
Deepa Lakshmi
CFO, Sarvam Healthcare, Salem

Data Analytics Questions

Free Data Audit
Yes — data quality work is usually our first phase. We profile your data, identify inconsistencies, and clean it systematically before modelling. Bad data in dashboards is worse than no dashboard at all — we never skip this step.
For clean data in a single source system, 48–72 hours for a first functional dashboard. For multi-source data needing warehouse and pipeline work, typically 2–3 weeks for the full setup with first dashboards live.
Metabase for smaller teams wanting self-service exploration at low cost. Looker Studio for Google Workspace businesses wanting fast, shareable reports. Power BI for Microsoft ecosystem companies. Grafana for operational and infrastructure monitoring. We recommend based on your team size, technical level, and budget.
That's the entire point. We configure BI tools for the user who's never written a SQL query. Filters, drill-downs, and exports are available with no technical knowledge needed. We include a training session in every engagement.

You already have the data. Let's make it useful.

Free 48-hour data audit. We'll identify your highest-value reporting gaps, assess your data quality, and show you exactly what a first dashboard would cost and contain.

First dashboard in 48 hours Full data ownership Team training included