Dashboards & BI
Purpose-built dashboards for operators, not analysts. One glance, one decision, one click to drill through to the underlying transaction.
- Role-based views
- Self-serve exploration
- Embedded analytics in your apps
Dashboards, pipelines, and models that turn raw operational data into decisions your leadership team actually makes.
Most data projects fail because they answer questions nobody asked. We start with the decision, work backwards to the data, and ship dashboards and models that change what people do on a Monday morning.
What you walk away with
The decisions you want to improve, the metric for each and the data behind it, agreed before we build.
Source-to-warehouse pipelines with quality checks, freshness alerts and lineage.
Role-based views for branch, region and board, with drill-through to the transaction.
Predictive models tested on your own history, monitored for drift after launch.
Each engagement is scoped to your workflow, your constraints, and your users — but these are the capabilities we bring to the table.
Purpose-built dashboards for operators, not analysts. One glance, one decision, one click to drill through to the underlying transaction.
Reliable pipelines moving data from your core systems to your warehouse — with data quality checks and lineage baked in.
Classical ML and modern foundation models applied where they earn their keep — default prediction, churn, anomaly detection, forecasting.
Regulator-ready reports and board packs generated from the same data source — no more spreadsheet discrepancies between teams.
A reference shape for a bank's analytics platform. Data is captured where it's created, checked, modelled once, and served to dashboards, reports and models from the same tables.
A typical shape, not a template. Every engagement starts by drawing this for your systems.
A portfolio-risk dashboard for a co-operative bank. Pick a region, the whole view follows, and accounts that need a call rise to the top.
Every tile traces back to the same warehouse tables, so branch and head office stop arguing over figures.
Pick a region or branch and every chart follows. Open a row to see the accounts and transactions behind it.
Accounts join the watchlist with the factors that moved their score, not just a red flag.
Illustrative screens. Names and figures are sample data.
We start with the decision that needs making — then the metric, then the data. Dashboards without decisions are just wallpaper.
A clean, observable pipeline from source to dashboard — with freshness SLAs and data quality checks at every hop.
The insight goes to where the decision happens — inside your app, in a weekly digest, or triggering an action downstream.
Daily branch-level dashboards tracking deposits, loans, and NPA — delivered to 450+ branches across India.
Early-warning models on loan portfolios, flagging accounts likely to go NPA 90+ days before they do.
RBI, NABARD, and GST returns generated automatically from operational data — reducing month-end effort by 80%.
In your cloud account or on your own servers, in the region you choose. We build the pipelines there; nothing is copied to our systems.
It depends on the decision. Branch dashboards can refresh through the day from change capture; board packs can run nightly. We agree a freshness target per dataset and alert when it's missed.
Models are tested on past data held back from training, and we share the results in plain terms: how many risky accounts it caught and how many false alarms it raised. After launch we keep checking scores against real outcomes.
No. We can feed your existing tool from a clean warehouse, embed dashboards in your own apps, or build custom views where off-the-shelf tools fall short.
Yes. RBI, NABARD and GST returns can be generated from the same modelled data as your dashboards, with versioning and sign-off before submission.
Tell us where you are today and where you’d like to be. A 30-minute discovery call is usually enough for us to know if we can help — and if we can’t, we’ll point you at someone who can.