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Power BI dashboards
Executive and operational dashboards with a governed semantic layer beneath them.
Data
Power BI dashboards, self-service analytics, embedded reporting, and predictive insight — designed around the decisions your teams make, not the charts they scroll past.
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Executive and operational dashboards with a governed semantic layer beneath them.
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Certified datasets and training that let analysts answer their own questions safely.
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Reports inside your product or portal with row-level security per customer.
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Forecasts and drivers analysis layered onto BI so dashboards look forward, not just back.
Step 01 — Assess
Use-case discovery, data and platform readiness, and a business case with measurable outcomes for BI and analytics.
Step 02 — Build
Senior-led delivery in weekly increments — architecture, security, and quality gates baked into every sprint.
Step 03 — Operate
Production monitoring, SLAs, and continuous improvement through our managed services team in Chennai.
In depth
BI fails when dashboards multiply faster than trust. Ten versions of “revenue” across ten reports means zero versions anyone believes. Our BI practice starts with a governed semantic layer — one set of definitions, certified and documented — and builds the Power BI and analytics experiences on top.
We design executive scorecards, operational dashboards, and self-service models with the craft that adoption requires: sub-second interactions, mobile-ready layouts, row-level security, and visual hierarchy that surfaces the exception, not the average. Data flows from the warehouses and lakehouses our data engineering team governs — so every number traces to a source.
Where prediction adds value, we blend machine learning outputs directly into reports: forecasted demand next to actuals, churn risk beside account health. BI becomes the front door to your data platform — and increasingly, to AI-assisted analytics.
Certified definitions shared across every report — one version of the truth.
Fast, focused, mobile-ready dashboards people actually open on Monday.
ML forecasts and risk scores embedded beside the actuals they explain.
Have a different question? Talk to an engineer, not a salesperson.
Almost always trust and relevance: metrics without owners, and charts without decisions. We redesign from the decision backwards.
Yes — model redesign, Direct Lake or aggregation strategies, and DAX tuning typically take report loads from minutes to seconds.
Row-level security tied to your identity provider, workspace governance, and certified-dataset promotion flows.