Abacum makes it effortless to turn raw source data into report-ready dimensions. Whether it's messy vendor names coming through from your ERP or transactions that need categorizing, Abacum's AI-powered transformations—the AI Data Cleaner and the AI Classifier—do the heavy lifting in seconds.

No more manual standardization or endless mapping spreadsheets—just clean, consistent, enriched data you can budget, forecast, and report on with confidence.

Key Benefits for Finance Teams

With Abacum's AI Data Cleaner and AI Classifier, you can:

• Standardize messy source data in seconds—inconsistent names, stray characters, and duplicate entries resolve automatically

• Turn any cleaned column into a dimension to slice and dice your reports

• Create new dimensions like customer segments or cash flow categories—no formulas required

• Reuse classification models across your entire environment—train once, apply everywhere

• Improve accuracy over time as the model learns from your confirmations

How to Clean and Classify Your Data: Step-by-Step Process

1. Clean Messy Columns with the AI Data Cleaner

Source systems often deliver key information—like vendor names—buried in messy description fields, or with the same item entered multiple ways ("ABACUM," "abacum," "Abacum"). In the transformation section, select the column you want to clean, give the output a name, and click Start cleaning. In around 30 seconds, the AI returns standardized, report-ready values.

2. Tag Your Cleaned Column as a Dimension

Once the results are in, tag the new column as a dimension. It's now available across your reports as a level to budget, forecast, and analyze—alongside dimensions like entity and product.

3. Build a Classification Model with the AI Classifier

For categorizing data—like customer behavior or cash flow transactions—create a new model in the transformation section. Name it, choose the input columns the AI should evaluate, and define the output column (for example, "Customer Group").

4. Train the Model with Your Template

Abacum generates a training template from your input columns. Fill in which category each combination belongs to—small, medium, large, or whatever segmentation fits your business—and upload it back into the platform.

5. Generate Categories and Refine Over Time

Generate your categories, set a confidence threshold, and confirm the results. The model learns from every confirmation—and because models aren't tied to a single dataset, the work you invest applies to your whole environment.