hiData.aiTranslation site

What is hiData.ai?

hiData.ai is aAI-driven intelligencedata analysisartifactIt is designed for non-technical users to realize the whole process of data cleaning, analysis, visualization and report generation through natural language interaction. Its core values areLowering the threshold for data analysisThe company reduces professional work that would otherwise take hours to minutes, helping marketers, researchers, and small business owners gain data insights quickly.

It supports the import of Excel, CSV and other mainstream formats, covering business analysis, marketing, finance and financial scenarios, and can generate professional charts and complete reports with one click, and export to PPT/PDF for seamless workflow. The product adopts localized deployment of large models, taking into account data privacy and flexible customization, and provides free and paid versions to meet different needs.

Whether it's to gain quick insight into business data, optimize marketing strategies, or assist in financial decision-making, hiData.ai can help users easily master data with extremely low learning costs and efficient processing capabilities, realizing the leap from “data chaos” to “clear decision-making. ”The company has been working on a number of projects.

Main features of hiData.ai

1. natural language interaction
   • Users do not need to master Excel formulas or programming skills, directly in English to describe the needs (such as “calculate the percentage of sales by region and generate bar charts”), AI automatic analysis and implementation.
   • Supports complex commands such as “Filter quarterly data by product category, calculate year-on-year growth rates, and flag outliers”.
2. Intelligent Data Processing
   • Data Cleaning: Automatically identify duplicate entries, missing values, formatting errors (e.g., confusing date formatting), and provide a one-click fix solution.
   • Intelligent formula generation: Automatically generate VLOOKUP, SUMIF, pivot table and other formulas according to user needs, and support custom adjustments.
   • pattern recognition: Discover trends (e.g., seasonal fluctuations), correlations (e.g., correlation between ad spend and sales) in your data through machine learning.
3. One-click visualization and reporting
   • Chart Generation: Support 20+ professional charts such as bar charts, line charts, heat maps, scatter plots, etc., with automatic optimization of color schemes and layouts.
   • Report Export: Generate complete reports containing analytical conclusions, charts and raw data, which can be exported directly to PPT or PDF format.
4. Multi-format compatibility and storage
   • Support Excel, CSV, PDF, Word, PowerPoint and other mainstream formats to import and export, seamlessly connect the existing workflow.
   • Provides AI database management features that support intelligent storage, retrieval and version control of multiple datasets.

Core technology of hiData.ai

1. AI-driven engine
   • Based on Natural Language Processing (NLP) technology to understand user intent and translate it into data analysis instructions.
   • Integrate machine learning algorithms to automate data cleaning, formula generation and pattern recognition.
2. Large model capability
   • Supports localized deployment of large models (e.g., LLaMA, Mistral) to ensure data privacy and security while enhancing analytical flexibility.
   • Optimize AI output to meet individual needs with prompt word debugging (Prompt Studio).

Scenarios for using hiData.ai

1. Business Analysis
   • Sales Data Insights: Quickly calculate regional performance rankings, identify high-value customer segments, and generate business optimization recommendations.
   • Customer Behavior Analysis: Segmentation of customer groups through clustering algorithms to develop precise marketing strategies.
2. marketing
   • Ad placement optimization: Evaluate ROI (Return on Investment), analyze the conversion effect of different channels and adjust budget allocation.
   • Customer Profile Construction: In-depth analysis of customer age, gender, consumption habits and other characteristics to support personalized recommendations.
3. Finance
   • Financial Modeling: Automatically generate DCF (discounted cash flow) valuation models to analyze corporate capital structure.
   • risk warning: Identify potential financial risks (e.g., overdue accounts receivable) through anomaly detection algorithms.
4. human resources
   • Performance management: Statistics on the distribution of employee performance rankings and analysis of the correlation between salary and age and length of service.
   • Brain drain forecast: Build predictive models based on historical data to intervene in advance with high-risk employees.
5. E-commerce Operation
   • Order Analysis: Track the geographical distribution density of orders and optimize the warehouse layout and logistics distribution.
   • Inventory management: Develop replenishment strategies through demand forecasting algorithms to reduce stock-outs or backlogs.

How to use hiData.ai?

1. Register & Login
   • Visit the official website (https://hidata.ai/) and choose the free version ($0/month) or the paid version (Plus) $20/Month,Pro$(200/month).
   • Register and log in to enter the main screen.
2. Data import
   • Click the “Import” button, select Excel, CSV or PDF files, support drag and drop upload.
   • AI automatically parses the data structure, previews it and then confirms the import.
3. natural language analysis (NLA)
   • Describe the requirement in the input box (e.g., “Analyze sales trends by quarter in 2025”) and press Enter.
   • AI generates analysis results, including charts, data tables, and textual conclusions.
4. Visualization Adjustment
   • Click the “Edit” button on the right side of the chart to adjust the chart type, color, label and other parameters.
   • Support for adding annotations, highlighting key data points.
5. Report generation and export
   • Click on the “Generate Report” button and select a template (e.g. “Sales Analysis Report”).
   • Customize cover, table of contents and footer, export to PPT or PDF format.