Dirty data is inevitable. Whether you’re working with Access, FoxPro, CSVs, or exports from homegrown systems. For operations and BI teams, cleaning this manually is painful, repetitive, and error-prone. That’s where Alice steps in.

Dirty data is inevitable. Whether you’re working with Access, FoxPro, CSVs, or exports from homegrown systems, the mess will find you:

• Missing fields
• Placeholder values
• Misaligned headers
• Mixed data types

For operations and BI teams, cleaning this manually is painful, repetitive, and error-prone. That’s where Alice steps in.

1. Placeholder Nulls
Legacy exports often use N/A, 9999, or - to represent missing data.
Alice maps these automatically to true nulls.

2. Mixed Data Types
One column might contain numbers, text, and blanks — breaking aggregations.
Alice enforces consistent typing (numeric, datetime, text).

Keep reading this blog on alice.dev

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