Data cleaning & visualization for insights gained.

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May 11, 2023

DataSquirrel

Data analysis

38,489

4.4(14)5

Use tool Copy 🔗

988

Data cleaning & visualization for insights gained.

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Data analysis220 0

Analysis Data InsightsFree + from $15/mo

Most popular alternative: Vizly (299 saves)

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Author

Martijn Moret

🛠️ 1 tool

Message

DataSquirrel.ai is an AI-powered data analytics tool that automates data cleaning and visualization processes, helping users to quickly turn raw data into actionable insights without the need for formulas, macros, or code.

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 saves users time and reduces 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.

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, or tabular data for different audiences and share them as dashboards, presentations, or PDFs.

DataSquirrel also offers use cases across various industries, including B2B eCommerce, HR, financial accounting, and survey data analysis. With a user-friendly interface and guided data processing, DataSquirrel aims to help users make better decisions faster and see data as both exciting and useful.

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Initial release

March 21, 2023

Martijn Moret

wrote:

Initial release of DataSquirrel.

Pricing

Pricing model

Freemium

Paid options from

$15/month

Billing frequency

Monthly

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Data analysis DataSquirrel

Data analysis

38,489

4.4(14)5

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Pros and Cons

Pros

Automates data cleaning

Automates data visualization

No need for formulas

No need for macros

No need for code

Supports Excel, CSV, Google Sheet

Automatic error correction

Automatic typo correction

Cleans different date formats

Anonymization by default

Offers secure data processing

Facilitates easy team collaboration

Visual sharing capabilities

Annotation capabilities

Customizable interactive dashboards

Customizable reports

Multiple report sharing formats

Industry-specific use cases

Can handle ad-hoc analysis

Automated combining of data

Automated cleaning of data

Automated pivoting of data

Automated visualization of data

GDPR/PDPA-compliant platform

100% secure data processing

Offers visual sharing via email

Offers visual sharing via Telegram

Offers visual sharing via Whatsapp

Offers visual sharing via Slack

Supports collaborative annotations on charts

Generates different reports for different audiences

Simplifies data analysis

User-friendly interface

Saves user's time

Eliminates manual data cleaning

Guided data processing

Reduces stress associated with data cleaning

Automated data wrangling

Supports varied report formats

Automatic inconsistency checking

View 35 more pros

Cons

Limited to Excel/CSV/Google Sheets

No SQL support

Limited customization for dashboards

Not suitable for complex data

No data processing other than cleaning

Confined to GDPR/PDPA

Limited industry use cases

No onsite deployment

No explicit multi-language support

Automatic corrections may be erroneous

View 5 more cons

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Q&A

What is DataSquirrel?

DataSquirrel is an AI-powered data analytics tool that automates data cleaning and visualization. Its key functionality includes automatically rectifying input errors, empty rows, varied date formats, and typos. The tool offers auto-analysis, customized interactive dashboards, and reports. DataSquirrel also provides secure data processing, anonymization by default, and a means for easy team collaboration with sharing, commenting, and annotation of visuals. It comes in handy in various industries like B2B eCommerce, HR, financial accounting, and survey data analysis.

How does DataSquirrel automate data cleaning?

DataSquirrel automates data cleaning by applying its AI system to uploaded files. It checks and corrects inconsistencies in the data file, including input errors, empty rows, typos, and different date formats.

What types of data files can DataSquirrel process?

DataSquirrel can process different types of data files like Excel, CSV, and Google Sheets.

What is auto-analysis in the context of DataSquirrel?

Auto-analysis in the context of DataSquirrel refers to the AI system's ability to automatically create compelling visuals and insights from an uploaded data file, without the user needing any formulas, macros, or code.

How does DataSquirrel help generate reports and dashboards?

DataSquirrel aids in generating reports and dashboards through its customizable interactive dashboards or reports feature. Users can include only the relevant charts, KPIs, or tabular data for different audiences and share them as dashboards, presentations, or PDFs.

How is DataSquirrel different from other data analysis tools?

DataSquirrel distinguishes itself from other data analysis tools with its emphasis on automated data cleaning and visualization. Its user-friendly interface and guided data processing help users turn raw data into actionable insights quickly without needing programming expertise. Furthermore, it has a feature of anonymization by default, ensuring data privacy.

+ Show 14 more

Are my data safe when using DataSquirrel?

Yes, your data is safe when using DataSquirrel. The platform is built around GDPR and PDPA compliance. Moreover, it provides secure data processing and by default anonymizes your data unless you choose not to do that.

Why does DataSquirrel emphasize a feature of anonymization by default?

DataSquirrel emphasizes the feature of anonymization by default to further ensure the privacy and security of the user's data. This feature shows its focus on complying with data protection regulations, such as GDPR and PDPA.

How does the collaboration feature work within DataSquirrel?

The collaboration feature within DataSquirrel allows users to share interactive visuals via e-mail, Telegram, Whatsapp, or Slack. Comments and annotations can also be added on the charts to discuss key findings and decisions with team members.

Can I customize the visuals and reports in DataSquirrel?

Yes, you can customize the visuals and reports in DataSquirrel. Once it has automatically analysed your data, you can customize your interactive dashboards or reports as per the needs of your audience.

Does DataSquirrel only work with business data?

No, DataSquirrel does not only work with business data. It offers use cases across various industries including eCommerce, HR, financial accounting, and survey analysis, therefore can work with a variety of data types.

How user-friendly is DataSquirrel?

DataSquirrel is developed to be super user-friendly. Its speed and guidance in cleaning and visualizing data allows all users to see data as both exciting and useful, irrespective of the data or its complexity.

Can DataSquirrel handle ad-hoc analysis?

Yes, DataSquirrel can handle ad-hoc analysis efficiently. It offers automated combining, cleaning, pivoting, and visualizing, making it equipped to handle spontaneous, immediate data analysis requirements.

Can I share generated reports from DataSquirrel?

Yes, generated reports from DataSquirrel can be shared. They can be shared as dashboards, presentations or PDFs in the desired format via one-click to e-mail, WhatsApp, Telegram, or Slack.

Can DataSquirrel correct different date formats and other input errors stumatically?

Yes, DataSquirrel can automatically correct different date formats and other input errors. The AI system checks any uploaded file for such inconsistencies and instantly rectifies them.

Does DataSquirrel comply with GDPR and PDPA?

Yes, DataSquirrel complies with both GDPR and PDPA. These compliance rules target data protection and privacy, which DataSquirrel strictly adheres to, ensuring that all data processed within the system remains secure.

How quickly can I clean and visualize a data set using DataSquirrel?

Using DataSquirrel, you can clean and visualize a data set significantly faster than with manual processes. While the exact time can vary based on the size and complexity of the dataset, DataSquirrel aims to save around 90% of your time spent on traditional data processing.

In which industries can I apply the use cases of DataSquirrel?

DataSquirrel has applicable use cases in various industries. These include B2B eCommerce, HR, financial accounting, and survey data analysis, among others.

How does DataSquirrel auto-analyze data?

DataSquirrel's auto-analysis feature involves the use of AI to automatically check the uploaded data file for inconsistencies. Once it has cleaned the data, it uses the same system to create compelling visuals and insights from it. The user doesn't have to execute any formulas, macros, or codes for this process.

What is SquirrelBot in DataSquirrel?

SquirrelBot is a part of DataSquirrel's AI system that acts on your data file once uploaded. It performs tasks such as checking your data file for inconsistencies, creating visuals, and providing insights. The precise functionality of SquirrelBot based on the information provided by their website.

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