Excel Customer Data Deduplication and Cleaning Automation
Pain Points (Public)
Customer records spread across Excel workbooks frequently accumulate duplicates and formatting discrepancies—such as irregular whitespace, inconsistent date and telephone formats, mixed text casing, and conflicting entries across names, emails, and phone numbers. Without an automated way to resolve multi-field duplicates and identify the most recent record, teams waste hours on manual cleanup.
Suggested Approach (Public)
Develop an automated data cleansing and deduplication pipeline using Python (Pandas) or an Excel Power Query / VBA macro. The pipeline standardizes text casing, strips stray spaces, normalizes date and contact formats, cross-checks composite identifiers (email, phone, and name) to consolidate duplicates while retaining the latest record, and exports a clean master sheet via a one-click script.
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Opportunity assessment PRO
Development brief PRO
- Target operations and sales teams struggling with fragmented customer workbooks by offering a lightweight web-based spreadsheet cleaning tool.
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- Multi-file upload interface supporting Excel files and basic client-side parsing using JavaScript and HTML/CSS.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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