Project Mart
From Raw Data to Real Decisions

Data Analytics & BI in Katni

We build ELT pipelines, semantic layers, and self-serve dashboards that put C-suite clarity a click away—no SQL wizardry required.

Key Offerings

Collect, crunch, visualise, monetise

🏗️

Data Warehousing & ETL

Single source of truth

Benefit: BigQuery or Redshift warehouses centralise siloed data with automated Airbyte connectors.
📊

Dashboarding & Reporting

KPIs at a glance

Benefit: Interactive Looker & Power BI boards refresh hourly—zero manual Excel.
🔮

Predictive Analytics & ML

See the future

Benefit: Python notebooks forecast demand and churn, pushing alerts to Slack.
👥

Customer Segmentation

Personalised marketing

Benefit: RFM clustering feeds Klaviyo & Meta custom audiences—for smarter spend.
🛡️

Data Governance & Quality

Trust your numbers

Benefit: dbt tests, Great Expectations checks, and role-based access controls.
🎓

Training & Enablement

Upskill your team

Benefit: Hands-on workshops turn business users into dashboard ninjas.

Why Choose Us

Accuracy, speed, and business relevance

Best-Practice

Modern Data Stack

ELT > ETL, SQL-based modelling, and reverse-ETL for marketing activation.

Relevant

Business-First Metrics

We translate raw tables into revenue, margin, and CAC dashboards executives love.

Accurate

Automated QA

Schema drift and NULL checks alert us before your CEO spots a wrong number.

Fast

Rapid Time-to-Insight

90-day warehouse builds, not 9-month mega-projects.

Technology Stack We Use

Future-proof, cloud-native tools

🏢

Google BigQuery & Redshift

Serverless, columnar warehouses crunch terabytes in seconds. Partitioning + clustering keep query costs under ₹1 k/month for most SMEs.

⚙️

dbt & Airflow

SQL-based transformations, version-controlled in Git, orchestrated by Airflow DAGs with SLAs and on-failure notifications.

📊

Looker & Power BI

Semantic layers plus row-level security deliver self-serve dashboards without exposing raw SQL to business users.

🐍

Python (Pandas, Scikit-Learn)

Feature engineering, time-series forecasting, and anomaly detection notebooks push predictions straight back into the warehouse.

🔌

Airbyte & Fivetran

Hundreds of pre-built connectors pull data from Shopify, Meta Ads, and MySQL with automated schema evolution.

Great Expectations

Data-quality assertions (row counts, uniqueness, regex patterns) gatekeep bad data before it contaminates dashboards.

Success Stories from Katni

Data-driven wins

“Dashboards revealed dead-stock SKUs—cleared ₹27 L inventory in one quarter.”
Anita Saxena
“Demand forecasts cut stock-outs during Diwali surge—revenue up 18 %.”
Hemant K.

Frequently Asked Questions

Analytics questions solved

Can you integrate on-prem databases?+
Yes—VPN or SSH tunnels securely pipe Oracle/SQL Server data to cloud warehouses.
Is my data secure in the cloud?+
Column-level encryption, IAM roles, and customer-managed keys protect sensitive fields.

Make Smarter Decisions, Faster

Book a free data-maturity assessment and roadmap session.