06 · Data Analytics & BI

Decisions backed by data, not gut feel.

We build the data pipelines, warehouses, and dashboards that turn your raw business data into clear, actionable insight — with predictive models that tell you what's likely to happen next, not just what happened last quarter.

What's included

Everything you need, nothing you don't.

Each engagement is scoped to what you actually need. No upselling, no bloat.

Real-time Dashboards

Live KPI dashboards for sales, ops, marketing, and product teams — built in Metabase, Superset, or embedded in your app.

Predictive & Churn Modeling

ML models that predict customer churn, sales close probability, demand forecasts, and inventory needs.

ETL & Data Warehousing

Reliable pipelines moving data from your CRM, ERP, and databases into a clean, queryable warehouse.

Embedded Analytics in SaaS

In-product analytics for your own customers — charts, reports, and insights embedded directly in your platform.

Data Quality & Governance

Schema validation, lineage tracking, and automated alerting when your data drifts or pipelines break.

Ad-hoc Analysis & Reports

On-demand analysis and board-ready reports for investor updates, growth reviews, or operational audits.

Our process

Simple steps. Clear outcomes.

We keep the process lean so you spend less time in meetings and more time seeing results.

01

Data Audit & Stack Design

We map your data sources, assess quality, and design the warehouse schema and pipeline architecture.

02

Build Pipelines & Models

ETL pipelines go live, predictive models are trained, and dashboards are built with your real data.

03

Deliver & Enable

We hand over clean dashboards, train your team to self-serve, and set up monitoring for pipeline health.

Worked example

How it plays out in practice.

A real-world scenario from start to finish — the kind of outcome we build toward.

Retail

Demand forecasting that cut overstock by 30%

The challenge

A multi-store retailer was guessing reorder quantities across 200 SKUs. The result was cash tied up in overstocked items and lost sales from stockouts on the popular ones.

Our approach

We built ETL pipelines from their POS and inventory systems into a clean warehouse, trained a demand-forecasting model on seasonality and store-level patterns, and delivered a live dashboard with per-SKU reorder recommendations and stockout risk alerts.

The outcome

Overstock dropped by about 30% and stockouts by 45%, while the buying team replaced 12 manual weekly spreadsheets with one self-serve dashboard.

Real-world applications

Seen it work across industries.

These are the kinds of problems we've solved — and the results they produced.

Retail

Sales Forecasting Dashboard

Built a demand forecasting model reducing overstock by 30% and cutting stockouts by 45% across 200 SKUs.

SaaS

Churn Prediction System

ML model flagging at-risk accounts 30 days before churn, enabling proactive customer success intervention.

Manufacturing

Operations Monitoring Hub

Real-time plant floor dashboard tracking OEE, downtime, and defect rates — replacing 12 manual weekly reports.

FAQs

Questions about data analytics & bi.

The things prospects ask us most. Still unsure? Book a free call and ask us directly.

What BI and dashboard tools do you work with?

We build dashboards in Metabase, Superset, Power BI, and Looker, or embed analytics directly into your own product. We pick the tool that fits your team and budget rather than pushing a single vendor.

Can you connect data from multiple sources?

Yes. We build ETL pipelines that pull from your CRM, ERP, databases, ad platforms, and spreadsheets into a single clean warehouse, so every dashboard reads from one consistent source of truth.

What is the difference between standard reporting and predictive analytics?

Standard reporting tells you what already happened. Predictive analytics uses ML to tell you what is likely to happen next — which customers will churn, what demand will look like, which deals will close — so you can act before it does.

How do you make sure the data is accurate?

We add schema validation, lineage tracking, and automated alerting so you know immediately when a pipeline breaks or data drifts — instead of trusting a dashboard that has been quietly wrong for weeks.

Can my team use the dashboards without depending on you?

Yes. We hand over clean, documented dashboards and train your team to self-serve. The goal is for you to own and extend your analytics, not to keep coming back to us for every report.

Ready to get started?

Let's build your data analytics & bi solution.

30 minutes. No sales pitch. We'll scope your project and give you an honest timeline and estimate.

Book a Free Call