Business Process Automation & ReportingOperational business (logistics/services) with multiple data sourcesOperations and Finance Team (cross-functional)
Business Process Automation & Reporting
A team with data in multiple systems (ERP/CRM/spreadsheets) prepared reports manually – collecting, verifying, formatting, and sending. This led to delays and errors. We built an automated data pipeline and standardized reports.
70%
Reduction in time for routine processes
90%
Fewer errors caused by manual operations
Project Goals
1
Reduce manual steps in report preparation.
2
Increase data quality via validations.
3
Unified KPI definitions (single version of the truth).
4
Faster decision making through timely reports.
Our Approach
1
Analysis of key KPIs and data sources, and definition of a unified Data Contract.
2
Building automated ETL jobs with validations and anomaly logging.
3
Standardizing report templates and introducing control checks.
4
Setting up monitoring and alerts for data issues or pipeline delays.
Solution
- Automated data collection and transformation.
- Validations, logs, and change traceability.
- Dashboards for key KPIs.
- Regular reports with quality control.
Results
- Less time for manual collection and verification of data.
- More reliable reports thanks to automatic checks and standards.
- Faster reaction to anomalies (alarms and pipeline visibility).
FAQ
Do we need to change our current systems?
No. Usually, we start with integration to existing systems and gradual standardization.
How is data quality guaranteed?
Through validating rules, checksums, anomaly logging, and a correction/approval process.
How long does it take to see a visible effect?
First measurable impact is usually seen after the first automated report/pipeline (2–6 weeks), after which it expands.
Contact
Do you have a question or want to discuss a project? Write to us.