Data Tool Excel Add-in

Purpose and scope: This tool solves data normalization, transformation, validation, and batch calculation tasks inside Excel, targeted at data analysts, financial modelers, and Excel power users. It operates on in-workbook tables or ranges and can generate both a transformed dataset and a validation log without leaving the workbook. How it works conceptually: users define a set of transformation rules (mappings, type casts, range validations, and derived calculations) and the add-in applies them row-by-row, producing a clean output while recording issues. Rules can be deterministic or conditional, enabling data pipelines that react to field values. Unique value: it consolidates repeated data-cleaning steps into a single, auditable workflow inside Excel, reducing dependency on external ETL tools and manual scripting. Core features include rule-based mapping, type coercion, missing-value handling, and batch operations across large ranges with performance-conscious chunking, output preparation for BI readiness, including a separate, pivot-ready output and a separate validation report, and reusability via named rule sets. Typical workflows: cleanse a customer file, harmonize product attributes, compute derived metrics (ratios, growth, rolling aggregates), and validate data integrity before loading into a data model.