Standardize and clean up your business data automatically

Takes messy raw data and automatically reshapes it into clean, consistent records ready to use.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig[\"raw data arrives from source"\]:::trigdata s0["check field type and structure"]:::task s1["standardize and clean values"]:::task s2["split or combine records"]:::task s3[("output clean dataset")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"standardized clean dataset ready to use"/]:::out pay{{"saves hours of manual data cleanup"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Education & Training
Connects
Google Sheets

The problem it solves

Your data comes in from different places in different formats, and cleaning it up by hand before you can use it is tedious and repetitive. Small inconsistencies in names, numbers, or categories cause errors further down the line.

Who it fits

Operations or admin teams who regularly pull data from multiple sources and need it standardized before reporting or analysis.

How it works

  1. Raw data comes in from a source like a form, spreadsheet, or system export
  2. The system checks the type and structure of each field
  3. Values are standardized, cleaned, and reorganized into a consistent format
  4. Records are split or combined based on business rules you set
  5. You get back a clean, ready-to-use dataset
What you get

Records ready to drop straight into your reports

You get your raw data reshaped into clean, consistent records ready to use across your systems.

What you get

A standardized, clean dataset ready for reporting or import into another system.

What you need

Whatever system holds your raw data, such as a spreadsheet or form tool, plus wherever the cleaned data should land.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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