Automated Raw Spreadsheet Cleaning and Tabular Restructuring
Pain Points (Public)
Raw sales exports from CRM or POS systems often contain inconsistent date formatting, irregular column headers, and unnormalized fields, preventing business owners from generating reliable PivotTables or importing data into BI tools without tedious manual editing.
Suggested Approach (Public)
Build automated data cleansing pipelines using Power Query, Python Pandas, or VBA macros to parse and standardize messy sales records, enforce schema constraints, and export clean, analysis-ready tabular datasets.
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