AnalyticsL2Partial Autonomy
DataVision Analytics GmbH
95% time savings in report generation — from 2 days to 10 minutes per report.
Challenge
DataVision created over 200 reports weekly for various stakeholders. The manual process was time-consuming and error-prone, with data from 15+ different sources.
- 2 days effort per complex report
- 15+ data sources to merge manually
- Frequent errors from copy-paste
- No real-time data possible
Our Solution
We automated the complete reporting workflow from data connection through AI analysis to automatic distribution.
Automated Report Generation
L2Partial Autonomy21 Nodes3 Entscheidungen1 KI-Agenten6 Parallele Pfade
From data connection to finished report — fully automated and in real-time.
Nodes
Start
Prozess
Entscheidung
KI-Agent
Daten
Integration
Fehler
Ende
Technology Stack:
Python ETLGPT-4 AnalysisActivepiecesChart.jsSMTP Integration
Implementation Time: 5 weeks
Results
0%
Time Saved
Reduction in creation time
0+
Reports/Week
Automatically generated
0+
Data Sources
Automatically integrated
0%
Real-time
Live data in reports
Before / After
| Metric | Before | After |
|---|---|---|
| Report creation | 2 days | 10 minutes |
| Data freshness | Weekly | Real-time |
| Error rate | ~8% | < 0.5% |
| Coverage | 5 data sources | 15+ data sources |
Client Testimonial
“We now create reports in 10 minutes that used to take 2 days. And the quality is significantly better because the AI catches anomalies we would have missed.”
Lisa Hartmann
Head of Analytics, DataVision GmbH