An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
ThinkRows
About ThinkRows
ThinkRows processes raw Excel workbooks to detect and extract usable tables across multiple sheets. It identifies tables by separating real data from headers, notes, and formatting noise, then maps how tables connect and which fields relate. Users can see which business questions the dataset can answer immediately and what additional data is needed. The tool supports AI-assisted transformations for renaming, reshaping, and preparing datasets for downstream use. It provides a structured view of entity relationships such as customers, orders, invoices, revenue, partners, and regions. The platform is designed to help users move from analysis to action by preparing data for further processing or export.
Key features
- Automated table detection across workbooks
- Entity relationship mapping
- Business question coverage analysis
- AI-assisted data transformation
- Multi-sheet data consolidation
- Export-ready structured output
- Support for currency and text data types
- Sheet and row limits per pricing tier
Use cases
- Converting raw sales spreadsheets into structured revenue tables
- Analyzing customer order data across multiple sheets
- Preparing datasets for downstream business intelligence tools
Pros
- Detects and extracts tables from messy spreadsheets automatically
- Maps relationships between entities across multiple sheets
- Provides visibility into which business questions can be answered
- Supports AI-assisted transformations for data preparation
- Offers multiple pricing tiers including a free option
Cons
- Limited to Excel spreadsheet input
- Free tier restricts the number of analyses and data volume
- No explicit mention of real-time collaboration features
- Pricing page does not detail advanced analytics capabilities
ThinkRows videos
Frequently asked questions about ThinkRows
What does ThinkRows do?
ThinkRows analyzes raw Excel spreadsheets to detect and extract usable tables across multiple sheets, separating real data from headers, notes, and formatting noise. It maps table connections, identifies entity relationships, and assesses which business questions the dataset can answer.
Who is ThinkRows designed for?
The tool is designed for users who work with messy spreadsheets and need to quickly understand, structure, and prepare their data for analysis or further processing. It suits analysts, business users, and teams dealing with complex Excel workbooks.
How does ThinkRows help with data transformations?
ThinkRows provides AI-assisted support for transforming data, including renaming fields, reshaping tables, and preparing datasets for downstream use or export. It helps users move from analysis to action by structuring data for immediate use.
Can ThinkRows identify relationships between tables in a workbook?
Yes, ThinkRows identifies and visualizes how tables connect, which fields belong together, and how business entities like customers, orders, invoices, and regions relate to each other within the dataset.
Does ThinkRows support exporting the processed data?
Yes, after analyzing and transforming the data, ThinkRows allows users to export the structured dataset for further use in other tools or systems.
How do I get started with ThinkRows?
Users can start by uploading their raw Excel spreadsheets directly to the platform. ThinkRows then automatically detects tables, analyzes relationships, and provides insights into the dataset's structure and usability.