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Business and Data Analysis GPT
Analyzing data and suggesting project resources.
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Business and Data Analysis GPT
Analyzing data and suggesting project resources.
Most popular alternative: DataSquirrel (988 saves)
GPT welcome message: Hello! Ready to tackle your data analysis challenges and create engaging content. How can I help?
Analyze this CSV for insights
What are the potential uses of this data?
What resources will we need for a data project?
Explain the significance of these data findings.
Generate a CSV Sample
Authortechyourside.com
Generated by ChatGPT
The Business and Data Analysis GPT is a specialized tool designed to assist with analytical tasks related to business and data. Leveraging its adeptness in analyzing data, the tool can ably suggest potential resources needed for a given data project.
This positions it as a handy assistant for data analysts, business strategists, and anyone else who works or interacts regularly with data analysis tasks or projects.
Expected use-cases include, but are not limited to, analyzing CSV files for insights, interpreting the relevance of data findings, and generating CSV samples.
Additionally, it can suggest the potential applications of a specific data set and help determine the resources needed for a data project. Acting as an 'app' built onto ChatGPT, the Business and Data Analysis tool delivers tailored content and analysis to users, serving their specific needs related to their data and business questions or projects.
It is designed to marry the powers of AI and business-data analysis, making it easier for users to mine and understand insights from their data.
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Releases
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October 21, 2023
Initial release of Business and Data Analysis GPT.
Pricing
Pricing model
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Prompts & Results
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Business and Data Analysis GPT was manually vetted by our editorial team and was first featured on January 9th 2024.
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837,986636v1.6 released 15d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
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This team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
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