Service 04

Predictive Business Intelligence & Forecasting

Traditional BI tells you what happened. We build the layer that tells you what's about to — forecasts, early-warning signals, and plain-language answers on top of the warehouse you already have.

3–6 weeks to first live forecasts and dashboardsTypical timeline
4Capabilities
4Deliverables
6Tools & platforms
Typical timeline3–6 weeks to first live forecasts and dashboards

What it includes

01
Forecasting systems

Sales, churn, demand, and cash-flow forecasts using Prophet, ARIMA/LSTM, or gradient boosting — with honest confidence intervals, not single-point guesses.

02
Conversational analytics

Ask questions of your warehouse in plain English — an LLM semantic layer over Snowflake or BigQuery that returns governed, verified numbers.

03
Executive dashboards

Decision-focused Tableau, Power BI, or custom React dashboards — a handful of metrics leadership actually acts on, not a wall of charts.

04
Anomaly & early-warning

Automated detection on revenue, operations, and quality metrics that pages the right owner with context — before the monthly review finds it.

What you get

What lands in your hands at the end, not activity reports.

  • Forecast models with backtested accuracy reports
  • Live dashboards wired to your warehouse with documented metric definitions
  • Alerting rules routed to Slack, Teams, or email owners
  • A metrics dictionary your analysts and executives share

Where it is used

  • 01E-commerce: inventory planning from demand forecasts instead of last year's gut feel
  • 02Finance: portfolio and cash-flow scenario projections with confidence bands
  • 03Logistics: capacity planning from lane-level volume predictions

Tools and platforms we work with

Tableau / PowerBILookerMeta ProphetARIMA / LSTM ModelsSnowflake CortexBigQuery ML

Solutions that use it

The same service, framed by the problem it solves.

Related reading

Next service
Legacy System Modernization with AI
First extracted capability in 4–8 weeks; full roadmap phased over months, not years