Context
Preparing business data for use in a Datalab and in reports.
- Business data
- Datalab datasets
- Data anomalies
- Reporting indicators
Problem and challenge
Preparation, anomaly analysis, reporting and automation involved several complementary steps.
Objectives
- Integrate business data into a Datalab.
- Create datasets and improve their reliability.
- Design Power BI reports and dashboards.
- Automate reporting and improve processes.
Contribution
I prepared and structured datasets, identified and resolved anomalies, built Power BI reports with DAX and Power Query and automated delivery with Power Automate.
- Preparing and integrating data in the Datalab.
- Creating datasets and analysing anomalies.
- Designing reports with Power BI, DAX and Power Query.
- Automating with Power Automate.
Outcome
Structured, reliable data combined with Power BI reports that business users can use directly, alongside automated reporting processes.
Technologies
- Power BI
- DAX
- Power Query
- Power Automate
- SQL
- Python
A similar challenge?
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