Small-Scale Spreadsheet Data Cleaning and Standardization
Pain Points (Public)
Business owners and operations teams often accumulate unstandardized tabular data (ranging from dozens to several hundred rows) containing duplicate records, missing fields, mixed date/currency formats, and messy text entries, preventing accurate reporting or smooth CRM imports.
Suggested Approach (Public)
Audit and clean raw workbooks using Excel formulas, Power Query, or Python scripts to normalize data types, deduplicate rows, correct values, and deliver structured, import-ready spreadsheets.
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Public Demand Evidence · 2 task(s)
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