Data & decision consulting

Good decisions start with data you can actually see.

Datamidaz turns business and data analytics into dashboards, AI systems, and automation that help your team make calls with confidence — and stop spending hours making reports by hand.

25+ years
Of hands-on experience in analytics and decision science
IIT Madras
Founder's academic grounding in data and engineering
One team
From raw data to dashboards, AI, and automation — no handoffs

What we build

Four things, done properly: business and data analytics that hold up to scrutiny, dashboards people trust, AI woven into how decisions actually get made, and automation that quietly removes the busywork.

Business & data analytics

Before we build anything, we do the analysis properly — cleaning and modeling your data, finding out what's actually driving revenue, cost, or churn, and framing it in business terms your leadership team can act on, not just a data team can read.

Descriptive & diagnostic analysis Predictive & statistical modeling KPI & metric frameworks

Custom dashboards

We design dashboards around the decisions you need to make, not the tables your data happens to sit in. Every view is built for the person who has to act on it — a sales lead, a plant manager, a CFO — so nobody has to dig for the number that matters.

Live business intelligence Executive & operational views Built on your existing data stack

AI-augmented decisions

We bring AI into the moments where a decision is actually being made — forecasting demand, flagging risk, prioritizing a queue — instead of bolting on a chatbot nobody asked for. The goal is judgment that's faster and better informed, with a person still in charge.

Forecasting & anomaly detection Decision support tools Applied, explainable AI

Workflow automation

Reconciling spreadsheets, chasing approvals, re-typing data between systems — we find the repetitive work eating your team's week and quietly automate it, so the people you hired for judgment stop spending their time on data entry.

Reporting & reconciliation Cross-system integration Approval & alerting workflows

What ends up on your screen

A dashboard is only as good as the decision it supports. Here's the shape of what we typically build — real numbers will vary, the clarity won't.

Revenue overview

Illustrative example · updated in real time from your data

Last 90 days
Revenue
$482K
12% vs last quarter
Conversion rate
4.8%
0.6pt improvement
Customer churn
2.1%
0.4pt lower, the good way

Revenue trend, by month

Where revenue comes from

Direct 46%
Referral 32%
Paid 22%

How we work

A small, senior team, working close to your business rather than at a distance from it. Four stages, no black boxes.

1. Listen

Understand the decision

We start with the calls your team actually needs to make, and where today's data makes that harder than it should be.

2. Design

Design the system

We map the data, define what "good" looks like, and design dashboards or models around real decisions, not vanity metrics.

3. Build

Build and integrate

We build on top of the tools you already use, connecting sources cleanly instead of asking you to rip and replace.

4. Decide

Hand over and support

We train your team, stay close after launch, and keep refining as your business and your data change.

DM

Founder & Principal Consultant

Built by someone who has sat where you sit.

Datamidaz was founded by an IIT Madras graduate with over 25 years of experience in analytics and decision-making across industries. That experience shapes everything we build: dashboards that survive contact with a real Monday morning, and AI that earns a seat in the room where decisions get made.

Before starting Datamidaz, our founder spent decades on the other side of the table — as the executive waiting on a report, not just the analyst producing one. That's the perspective we bring to every engagement.

"Most companies don't have a data problem. They have a decision problem that data could solve, if it were built for the person making the call."

Let's look at your data together.

Tell us what decision is slowing your team down, or which reports still get built by hand. We'll tell you honestly whether we can help, and how we'd approach it.