Quick Summary

• Data science teams can now use ChatGPT to automatically generate analytical reports, KPI summaries, and dashboard documentation.
• This capability accelerates documentation and analysis by processing real-world work inputs.
• Axeto makes these tools accessible, focusing on the language and needs of Iranian users.

To continue: OpenAI Guide.

To continue: Generate with OpenAI.

What's New?

In its latest update, OpenAI has expanded ChatGPT's capabilities for data science teams. These changes allow professionals to quickly generate root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specifications using real-world work inputs. This new tool significantly simplifies transforming raw data and complex analyses into understandable and actionable documentation for non-technical stakeholders. This is crucial for teams dealing with large data volumes who need to effectively communicate analysis results.

Features and Changes

ChatGPT's new capabilities for data science teams include:

• Root-Cause Analytical Report Generation: Identifying the root causes of issues and providing documented reports.
• Impact Summaries: Evaluating and presenting the results of changes or actions taken.
• KPI Memos: Automatically generating reports related to key performance indicators.
• Scoped Analyses: Performing and documenting specific analyses based on project needs.
• Dashboard Specifications: Creating the necessary technical documentation for designing and implementing management dashboards.

These features are designed to reduce the time required for documentation and increase accuracy in information transfer. Users can receive their desired outputs by providing data and text-based requests.

Comparison

Pricing and Access

OpenAI has not released detailed information on the costs of these new capabilities, but they are expected to be available in paid ChatGPT Plus subscription tiers or via the API. For the latest pricing and subscription plans, please refer to the Axeto Pricing Page.

Axeto's Analysis

This advancement in ChatGPT holds significant potential for Axeto users, especially those in data science and analytics. Axeto's focus on providing powerful AI tools with full Persian language support enables Iranian professionals to easily utilize these capabilities.

Key Points for Axeto Users:

1. Persian Prompt Engineering: The key to successfully using these tools lies in writing precise and clear prompts in Persian. For example, instead of a general request like "write a report," you can say: "Using last month's sales data, prepare a root-cause analytical report about the 20% sales decrease in the northern region. Mention potential factors and suggested solutions." These types of prompts yield better results. For inspiration, refer to the Sample Prompts section in Axeto.

2. Workflow Integration: These capabilities should not be seen as a complete replacement for human analysis but rather as tools to enhance productivity. You can use Axeto to generate initial drafts of reports and then edit and add your expert insights. This can also speed up the Image Generation or video creation process, as ready documentation provides a better understanding of visual outputs.

3. Cost and Efficiency: Given Axeto's pricing structure, using these capabilities can be very cost-effective, especially compared to hiring additional staff for repetitive documentation tasks. Reviewing Axeto's Subscription Plans will help you choose the best option.

4. Accuracy and Validation: Always validate AI outputs with your own data and knowledge. These tools are powerful, but potential errors always exist.

Axeto Test

To evaluate Axeto's analytical text generation capabilities, three Persian prompts were tested as follows:

Model: axeto-text-v2 (hypothetical)

Prompt 1: "Using the following data [hypothetical daily sales data], write a root-cause analysis of the sales drop last week and identify the three main factors."

Score: A

Notes: The output was accurate and identified the main factors well. The report structure was logical.

Prompt 2: "Prepare a summary report for managers on the impact of the recent advertising campaign on website traffic increase this month. Mention key KPIs."

Score: B

Notes: A good summary was provided, but it needed some editing to include more precise KPIs. The text was a bit general.

Prompt 3: "Write the technical specifications for a management dashboard to display the status of ongoing projects. Include sections for status, timeline, and responsibilities."

Score: A

Notes: The output was excellent and practical. It covered all necessary sections and provided appropriate technical details.

Test Summary: The axeto-text-v2 model demonstrated strong performance in generating analytical reports and technical specifications in Persian. More precise prompts led to better outputs.

Pros and Cons

Pros:

• Increased Productivity: Significant reduction in the time needed to generate reports and documentation.
• Easy Access: Usable by individuals with varying levels of technical expertise.
• Persian Language Support: Capability to process and generate content in Persian, vital for Iranian users.
• Cost Reduction: Replaces some repetitive and time-consuming tasks.
• Standardization: Helps in creating consistent report formats.

Cons:

• Requires Validation: Outputs may not always be accurate and require human review.
• Dependency on Prompt Quality: Output accuracy heavily depends on the quality and clarity of the input prompt.
• Lack of Deep Understanding: AI may not fully grasp nuances and specialized contexts.
• Data Security Concerns: Security considerations must be observed when using sensitive data.

Conclusion

ChatGPT's new capabilities for data science teams are a significant step towards automating and facilitating analytical and documentation processes. By offering these tools in a user-friendly platform with a focus on the Persian language, Axeto provides a valuable opportunity for data professionals in Iran to increase their productivity and focus on the creative and strategic aspects of their work. Smart use of this technology, combined with human oversight, can yield remarkable results.

Source

• OpenAI Academy: How data science teams use Codex for Work

Practical Example

To generate an analytical report or dashboard specifications, you can use Axeto's tools:

• Generate Image with AI
• Generate Video with AI
• Axeto Sample Prompts

Sample Code

Here is a sample Python code for using a ChatGPT-like API to generate analytical reports:

import openai

# Set your API key
openai.api_key = 'YOUR_API_KEY'

def generate_analysis_report(data_input, query):
    prompt = f"""
    Using the following data:
    {data_input}

    Perform the following analysis:
    {query}
    """
    try:
        response = openai.ChatCompletion.create(
          model="gpt-3.5-turbo", # Or a more advanced model
          messages=[
                {"role": "system", "content": "You are a data analyst assistant."},
                {"role": "user", "content": prompt}
            ]
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Error generating report: {e}"

# Example usage
data = "Monthly sales: January 100, February 120, March 110"
analysis_query = "Analyze the reason for the sales decrease in March and provide a report."

report = generate_analysis_report(data, analysis_query)
print(report)

Frequently Asked Questions (FAQ)

Q: Can this tool completely replace a data analyst?

A: No, these tools act as assistants and are designed to enhance productivity. Final analysis and decision-making still require human expertise.

Q: Do I need programming knowledge to use these features?

A: No, Axeto's user interface is designed so you can use AI capabilities without coding. The sample code is only provided to demonstrate API-level functionality.

Q: How can I get the best results from Axeto for generating analytical reports?

A: By writing precise, clear, and detailed prompts. Providing context and relevant data helps the AI produce a more desirable output. See the Sample Prompts section.

Q: Are the outputs generated by Axeto reliable for commercial use?

A: Outputs should always be reviewed and verified by professionals. Axeto is a tool to help generate content faster, not a replacement for human accuracy and verification.

Q: What types of data can I provide to Axeto for analysis?

A: You can provide text data, tables (as text or files), and summaries of your analytical findings. For more complex numerical data analysis, preprocessing might be required.

Q: Does Axeto support the Persian language well?

A: Yes, Axeto places a special emphasis on Persian language support and strives to provide prompts and outputs in Persian as effectively as possible.