Structuring Raw Market Data: Sifting through multiple secondary filings, industry surveys, and web-scraped metrics requires rigorous data normalization.
The Data Pipeline Workflow:
- Data Cleaning & Cleansing: Eliminating currency discrepancies, disparate reporting periods, and non-standardized product taxonomies.
- SQL & Python Transformations: Automating data aggregation and structuring multi-variable competitor databases.
- Power BI Dashboarding: Developing interactive executive visualizers that allow leadership to toggle parameters and test hypotheses in real-time.