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Founder speciality

We turn scattered data into decisions your business can act on and defend.

Most firms sell a deliverable. We sell a decision you can trust, one that still holds up once the business outgrows today’s problem.

Fine gold lines forming a rising curve over deep navy glass

The belief

The problem with data is rarely technology. It is trust.

We take a different view of data consulting. We do not start with technology. We start with the business. Organisations keep investing in increasingly sophisticated data capabilities while still struggling to answer basic business questions with confidence. The issue is not the absence of technology. It is the reliability of the foundation beneath it.

We are not interested in adding dashboards for the sake of visibility, adopting platforms because they are fashionable, or layering advanced analytics and AI onto foundations that have not first been made sound. The fundamentals deserve more attention than the hype: understand the business, make the data reliable, and build from there.

We help leadership use data to understand the business more clearly, make better decisions and act with confidence. Every engagement should leave you seeing further than when you started.

Strategy & Assessment

Strategy & Assessment

Know where you stand and where to go next, backed by a straight audit rather than a guess.

2 to 4 weeks

Data Maturity Assessment

For Companies that know something is off in how they handle data but cannot yet say whether it is the tools, the people or the process.

You get A straight audit benchmarked against peers, with a short list of what to fix first.

4 to 6 weeks

Data Strategy Roadmap

For Companies with some data infrastructure already, ready to scale it on purpose instead of by accident.

You get A sequenced roadmap tied to two or three real business objectives.

3 to 5 weeks

Governance Framework Design

For Any company handling customer or regulated data without a formal structure for it.

You get Clear ownership, a policy framework and a map against the regulations that actually apply.

Analytics & Decision Support

Analytics & Decision Support

Tools and models built around the one decision that is currently costing you money.

3 to 6 weeks

BI Dashboard & Reporting Design

For Companies where reporting is manual, inconsistent or quietly ignored.

You get Dashboards built around real decisions, with training so your team can extend them.

4 to 8 weeks

Predictive & Prescriptive Analytics

For One specific, expensive decision such as pricing, churn, inventory or demand still being made on gut feel.

You get A model built for that one decision, validated against history.

4 to 8 weeks

Decision Modeling & Optimization

For Operations or finance teams facing the same complex tradeoff again and again.

You get A simulation model you can test what if scenarios against.

2 to 4 weeks

KPI & Metrics Framework Design

For Companies where reporting meetings turn into arguments about whose numbers are right.

You get One agreed set of KPIs and a metrics dictionary people actually use.

How engagement works

Working sessions with you, not status meetings about you.

  1. 01

    Conversation

    Tell us the decision you are trying to make. The first call costs nothing and carries no obligation.

  2. 02

    Scope

    We tell you honestly whether we are the right fit and what it will take. A short, specific proposal, not a forty page SOW.

  3. 03

    Build

    Working sessions with you instead of status decks about you. Kickoff happens within days of signing.

  4. 04

    Handoff

    Enablement is built in, not upsold. You leave able to run it without us.

Led personally by

Radhika Gupta

Founder and Managing Director

  • MS Management Information Systems, University of Illinois Chicago
  • BE Information Technology, Nagpur University
  • Data analyst for institutions in Chicago, then programme lead for a nationwide US data engineering initiative
  • SQL, Python, Tableau, Power BI, workflow automation and LLM assisted data validation
Her story

What sets the practice apart

  • Experienced hands, not a bench

    The person who scopes the work is the person who does it. No handoff, no dilution.

  • One point of contact

    One relationship carries the full context of your business from the first call to the last deliverable.

  • Depth over breadth

    We go deep on the decisions that move a business rather than chasing every trend in the market.

  • Speed without shortcuts

    Small enough to start fast, seasoned enough that fast never means shallow.

  • Decisions, not dashboards

    The deliverable is a decision you can act on and defend, not a report that sits in a drive.

  • Built to scale with you

    We are not a one time vendor. The relationship is designed to grow with the business.

Questions

Before we begin.

Do we need to buy new tools before working with you?

No. We work with the platforms you already have wherever possible. Recommendations to change tools come only when the current stack is genuinely the constraint, and they come with a cost benefit view.

What does a Data Maturity Assessment actually produce?

A straight audit of your data, people and process, benchmarked against peers, plus a short prioritised list of what to fix first. It takes two to four weeks and is a common starting point.

Can you build a model for one specific decision?

That is the preferred way to work. A model built for pricing, churn, inventory or demand, validated against your history, is far more valuable than a broad AI initiative with no owner.

Who works with our data?

Radhika Gupta leads the work personally with a small analytics team. Access is read only by default, inside your environment, under a mutual NDA.

Next step

Ready to see further? Tell us the decision.

Tell us the decision you are trying to make. We reply within one to two business days, and the first call carries no obligation.