Datasets Overview
A Dataset in SpendCraft is a clean, segmented, and actionable collection of spend transactions. It represents the "prepared" state of your data, ready for the core analytical functions of the platform.
🏗️ From Raw Data to Actionable Insights
Datasets are created by taking raw financial records from your Sources and applying specific filters—such as time periods, currencies, or business units—to isolate a specific scope (e.g., "All Indirect Spend for the US region in FY2025").
🛠️ The Role of a Dataset
The Dataset serves as the single, standardized input required for the platform's most critical processing actions:
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Vendor Normalization Automatically cleaning and consolidating inconsistent vendor names (e.g., merging "AWS," "Amazon Web Svcs," and "AMZN" into a single record).
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AI Classification Feeding data into a trained AI Agent to assign precise categories from your Taxonomy to every transaction line.
💡 Why use Datasets?
By segmenting data into targeted Datasets, finance and procurement teams can:
- Improve Accuracy: Work on specific data segments for higher AI precision.
- Granular Reporting: Isolate regional or departmental spend for deeper insights.
- Standardization: Ensure all raw source data is mapped to a uniform format before analysis begins.