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Solution Accelerator

Data Engineering

Anomaly Detection & Business Alerting

A reusable Databricks and Unity Catalog accelerator that monitors business data, detects anomalies, and automatically sends email alerts when metrics, freshness, quality, or activity patterns move outside expected thresholds.

Language

Python

Deployment

Databricks Notebooks / Workflow

Type

Framework + Reference Code

Trusted By :

How it works

Detect data anomalies before they become business problems

Business teams often depend on daily or hourly data refreshes, but unusual spikes, drops, missing activity, stale data, duplicate records, or sudden quality issues can go unnoticed until reports, dashboards, or decisions are already affected.

DataTheta’s Anomaly Detection & Business Alerting Accelerator helps teams monitor configured source tables, compute metric baselines, detect abnormal patterns, and send business alerts through email. Everything needed to reuse the framework, including catalog names, tables, thresholds, and email settings, is controlled through config.json.

  • Detect sudden increases, sudden decreases, value anomalies, missing activity, stale data, duplicate record spikes, and null or data quality spikes.
  • Compare trend-based checks against a rolling median baseline instead of relying only on the previous data point or average.
  • Write metric history, anomaly logs, alert logs, and detection outputs into Delta tables inside Unity Catalog.
  • Send email alerts when anomalies are detected and prevent duplicate notifications using an alerted flag.
AI systems in production
0 +
Avg. time to first outcome
0 Weeks
Forecast accuracy
0 %
Faster decision cycles
0 X
Revenue influenced by AI
$ 0 M+
Manual processing eliminated
0 %

40+

AI systems in production

8 Weeks

Avg. time to first outcome

34%

Forecast accuracy improvement

3×

Faster decision cycles

$180M+

Revenue influenced by AI

68%

Manual processing eliminated

How it works

What this accelerator helps you do

Seven Anomaly Checks

Detect sudden increases, sudden decreases, value anomalies, missing or zero activity, stale data, duplicate record anomalies, and null or data quality spikes.

Rolling Median Baselines

Use a trailing rolling median window to compare current metrics against stable historical behavior and reduce false signals from one-off spikes.

Config-Driven Reuse

Reuse the accelerator across tables and environments by updating catalog names, source tables, thresholds, rules, and email settings in config.json.

Business Email Alerts

Send automated email alerts to configured stakeholders when anomalies are detected, with severity-based routing and notification control.

Delta-Based Audit Logging

Store metric baselines, anomaly results, and alert history in Unity Catalog Delta tables so every detection and notification can be reviewed.

Solution Accelerators

Build proactive monitoring into your data systems with DataTheta Solution Accelerators.

Explore reusable accelerators for data quality, workflow monitoring, anomaly detection, governance, SLA tracking, and production-ready data operations.

Ready to detect anomalies before they affect decisions?

Use DataTheta’s Anomaly Detection & Business Alerting Accelerator to monitor business data, detect unusual activity, send automated alerts, and keep teams ahead of reporting and operational issues.

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