AI Data Analyst

Ask questions of data with layman English.

No data wrangling. No experts needed.

Traditional BI tools require technical expertise, making it difficult for non-experts to access and explore data insights effectively. AI Data Analyst uses GPT to interpret natural language queries, providing actionable insights instantly.

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Sales & Marketing Applications

Interrogate CRM Sales Data or Web Data (SQL, XLS, CSV)

Sales Analysis

Query Product Sales Data

Competition

Competitive Analysis

Sentiment

Track Customer Sentiment

Customer

Segmentation

XLS Product Data Analysis

XLS product data analysis built using Argusquery.ai

Sentiment Analysis

sentiment analysis tool built using ArgusQuery.ai

XLS Product Data Analysis

XLS product data analysis built using Argusquery.ai

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Financial Statement Analysis

Financial Statement Analysis built using Argusquery.ai

AI Data Gap Analysis

AI Data Gap Analysis tool built using ArgusQuery.ai

Financial Statement Analysis

Financial Statement Analysis built using Argusquery.ai

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Other Enterprise Applications

Talk to your data, get personalized recommendations, and faster decision-making.

Engineering

Part Validation Changes

Finance

Statement Analysis

Regulatory

Gap Analysis

Quality

Anomaly Detection

Features

Functionality You Will Love

Analyze Variety of Data Types

Unstructured/ XLS, CSV, SQL Databases

Data Sourcing

Find data sources. 100% traceability.

Rendering

Tables and Graphs

Accuracy

99% accuracy. No hallucinations.

Case Study - Medical Device Manufacturer

A medical device manufacturer needed faster insights for their C-suite to interrogate product sales data but lacked a BI solution and a large sales data analysis team.

By implementing an AI Data Analyst trained on their Excel revenue sheet, executives could now ask natural language questions and get instant sales data, bypassing manual updates and complex reporting.

Executives can now simply ask questions like:

"What were the top-performing products in Q3?"
"Which product category generated the highest revenue for a specific account?"
"How have unit prices fluctuated across regions?

This solution avoided costly BI infrastructure, and improved decision-making speed by 10x.