Business Intelligence and Analytics using AI
Dashboards and data models that answer the next question, not just the last report — with AI that explains a number instead of just charting it.
BIAnalyticsDashboardsAI
Dashboards people actually check
Most BI rollouts stall because the dashboard answers last month's question. We build a data model first, then let both humans and an AI layer query it.
What we deliver
- A governed semantic layer — one source of truth for metrics, so finance and ops stop reconciling numbers
- Interactive dashboards (drill-down, cohort, trend) built on your warehouse or an embedded store when one server is enough
- Natural-language analytics — ask a question in plain English, get a chart and the SQL behind it, not a hallucinated number
- Anomaly detection and alerting on the metrics you actually act on
- Scheduled and event-driven pipelines (ETL/ELT) that keep the model fresh without a nightly fire drill
Where AI fits
The model never guesses at your numbers — it forms a query against your actual data model, then explains the result in plain language. Every answer is traceable back to the query that produced it.
Tell us about the process that hurts.
A 30-minute call is enough to tell whether an agent, an extension or a plain good Fiori app is the answer. No deck, no discovery fee.