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DataSquirrel AI app

Data cleaning & visualization for insights gained.

Why Install DataSquirrel AI to replace a human task?
Artificial Intelligence and Machine Learning Communication and Messaging Data and Analytics Data Visualization and Presentation Utilities and Tools

AI Information

What is DataSquirrel

Name of brand: is an AI-powered data analytics tool that helps users to quickly turn raw data into actionable insights without the need for formulas, macros, or code. The tool automates data cleaning and visualization processes, saving users time and reducing stress by eliminating manual data cleaning processes, automatically correcting input errors, empty rows, typos, and different date formats, and generating compelling visuals that tell the story of their data.

Users can upload Excel, CSV, or Google Sheet data files, which are automatically cleaned for inconsistencies by DataSquirrel’s AI system. The tool also offers auto-analysis and customizable interactive dashboards or reports, enabling users to create reports and dashboards in minutes.

DataSquirrel's platform is GDPR/PDPA-compliant, and its features include secure data processing, anonymization by default, and easy collaboration with team members through visual sharing, commenting, and annotation capabilities. Users can create different reports with only relevant charts, KPIs

TLDR: AI for Data cleaning & visualization for insights gained. Copy and paste these prompts into DataSquirrel.

DataSquirrel Prompts

Pluginplay prompts for DataSquirrel

DataSquirrel can be installed on

DataSquirrel - Opensource ChatGPT Plugin

Who is DataSquirrel for?

1. Business Intelligence Analysts
2. Marketing Professionals
3. HR Managers
4. Finance Executives
5. Researchers and Data Scientists

Install DataSquirrel on ChatGPT Plugin Store

What are the use cases for DataSquirrel?

1. B2B eCommerce: DataSquirrel can help B2B eCommerce businesses analyze their sales data to identify popular products, customer behavior, and trends. The tool can also help with inventory management by providing insights on which products are selling well and which ones need to be restocked.

2. HR: DataSquirrel can be used by HR departments to analyze employee data to identify patterns and trends in areas such as employee turnover, performance, and satisfaction. The tool can also help HR professionals to calculate and analyze employee retention rates, as well as identifying potential areas for improvement.

3. Financial Accounting: DataSquirrel can help financial accounting professionals to analyze financial data and track key business metrics such as revenue, profit, and cash flow. It can also help identify areas for cost reduction or revenue growth.

4. Survey Data Analysis: DataSquirrel can help researchers to analyze survey data, including identifying patterns and trends in responses, as well as providing insights into the demographics and characteristics of

DataSquirrel Links

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