Analytics & BI Insights That Turn Data Into Decisions.

A normal dashboard shows charts and numbers — you interpret them yourself. Conversational analytics lets you ask questions in plain English like "Why did sales drop in March?" or "Which customers are most likely to churn?" and get an AI-generated answer backed by your actual data. We build this intelligence layer on top of your existing Tableau or Power BI setup.

We support customer churn prediction, sales forecasting, HR attrition modelling, financial anomaly detection, demand and supply chain optimisation, and custom ML models for industry-specific problems. We work across banking, telco, retail, manufacturing, healthcare, and professional services.

Yes. We layer AI intelligence on top of your existing Tableau or Power BI investment — you keep your current dashboards and we make them smarter with predictive models and conversational querying. No need to replace your current BI tools.

Most organisations underestimate their data readiness — and overestimate the problem. We run a data readiness assessment as the first step of every engagement. If your data needs cleaning, structuring, or enrichment before modelling, we handle that as part of the project scope. You don't need a perfect data warehouse to start.

A focused model — such as churn prediction or sales forecasting — typically takes 4–6 weeks from data assessment to production. More complex multi-model implementations take 8–12 weeks. We always assess data readiness before committing to a timeline so there are no surprises mid-project.

Analytics projects are scoped and priced per engagement based on data complexity, model count, and integration requirements. We'll give you a clear estimate after an initial discovery session.