Business Intelligence Automation

The Problem

Your analysts spend more time finding problems than solving them. By the time someone notices a metric drift, the damage is done. Manual report building means insights arrive too late to matter.

Our Approach

Connect to your data warehouse or BI platform
Configure statistical anomaly detection with business-relevant thresholds
Build automated alert and reporting pipelines

Works Well When

Not Appropriate When

Works Well When

You have 12+ months of clean historical data
You use BigQuery, Power BI, Looker, or Tableau
Your analysts spend significant time on routine monitoring

Not Appropriate When

Your data is fragmented across disconnected systems
You lack baseline metrics to detect anomalies against

Honest Assessment

Anomaly detection is well-established. The challenge is tuning thresholds to avoid alert fatigue. Early-stage companies often lack the data history needed for meaningful baselines.

Engagement Details

Duration: 8 weeks
Your Involvement: Varies
Prerequisites: None