AI Data Cleaning Analytics Platform for Non-Technical Analysts
Business analysts spend 60-80% of their time cleaning data in spreadsheets before analysis can begin. Recoonlytics provides an AI platform that automatically detects data quality issues, suggests and applies fixes, and produces clean datasets ready for analysis, turning the most hated part of data work into an automated process.
Problem Statement
A marketing analyst receives CSV exports from 5 different platforms with inconsistent date formats, duplicate rows, missing values, and naming variations. They spend 3-4 hours per week manually cleaning data in Excel before they can create the report their manager needs. The cleaning is repetitive, error-prone, and mind-numbing work that adds no analytical value.
The Idea
An AI-powered data cleaning platform that automatically detects quality issues in spreadsheets and datasets, applies fixes with human oversight, and produces analysis-ready clean data.
Why Now
AI pattern recognition for data quality issues (duplicates, formatting inconsistencies, missing values, outliers) reached production reliability in 2026. Non-technical analysts face increasing data volumes from multiple sources. Traditional data cleaning requires Python/SQL skills that most business analysts lack, creating a persistent workflow bottleneck.
Target User
Business analysts, marketing analysts, and operations teams who work with spreadsheet data from multiple sources
Target Market
Non-technical data workers at companies with 20-500 employees processing data from multiple SaaS tools
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