Dashboard Slayer

Your AI-powered Senior Data Analyst that connects to your database, queries relevant data, writes Python code, and creates beautiful executive reports in HTML format. All running locally with full privacy.

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Powerful Data Analysis Features

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AI-Powered Analysis

Acts like a Senior Data Analyst, understanding your business questions and providing intelligent insights from your data.

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Database Connectivity

Connects to any database (PostgreSQL, MySQL, SQLite, etc.) and automatically queries relevant data based on your questions.

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Python Code Generation

Writes Python code on-the-fly for data analysis, statistical computations and advanced analytics.

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Real-time Execution

Executes the code it writes and generates reports in real-time, providing immediate answers to your business questions.

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Rich HTML Reports

Creates beautiful, interactive executive reports in HTML format with charts, tables, and professional formatting.

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Business-Focused

Designed specifically for business users - ask questions in plain English and get actionable insights.

Why Choose Dashboard Slayer?

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Complete Privacy

Runs locally on your servers. Your data stays yours - no external API calls or cloud processing.

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Cost Effective

Only costs the server it runs on. No monthly license fees like traditional BI tools.

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Fully Adaptable

Customize for your specific use-case, industry, and reporting needs. Open source and extensible.

See It In Action

Prompt: "Can you analyze sales trends over time?"

Note: Reports display best on desktop devices for full experience

Sales Trends Analysis

Executive Summary

Total sales revenue reached $1.25 billion with 19.8 million units sold across 439 days. Despite an initial strong start, overall sales showed a decline of 54.9% from beginning to end of the period. Sales exhibit strong seasonal patterns with several peaks throughout the year.

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Total Revenue

$1.25B
Across 439 days
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Total Units Sold

19.8M
Across all products
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Avg. Daily Revenue

$2.85M
Per day average
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Peak Sales Day

$10.0M
Jan 12, 2015

Daily Revenue Trend with 7-Day Moving Average

Units Sold Trend with 7-Day Moving Average

Key Insights & Recommendations

  • Seasonal Planning: Sales show clear seasonal patterns with recurring peaks. Plan inventory and staffing accordingly for high-demand periods.
  • Declining Trend: Overall sales trend shows a significant decline (-54.9%). Investigate market conditions, competition, or internal factors affecting sales performance.
  • High Variance: Large fluctuations in daily sales suggest opportunities for both improvement during low periods and better management of peak demand.

Prompt: "Are there any notable anomalies or outliers in the sales data that warrant further investigation?"

Sales Data Anomaly Report

Executive Summary

Analysis of sales data revealed three main categories of anomalies: zero revenue sales (524 occurrences), high discount sales (627 occurrences), and unusually high quantity sales (2 occurrences). These anomalies may indicate either legitimate business practices or data quality issues requiring further investigation.

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Zero Revenue Sales

524
Transactions with $0 revenue
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High Discount Sales

627
Transactions with >50% discount
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High Quantity Sales

2
Unusually large orders

1. Zero Revenue Sales (524 occurrences)

These transactions show $0 unit sale price despite having a positive unit price, resulting in zero revenue.

Most Common Dates

  • January 9, 2017 (17 occurrences)
  • March 9, 2015 (13 occurrences)
  • January 13, 2017 (13 occurrences)
  • January 20, 2017 (13 occurrences)
  • March 8, 2015 (11 occurrences)

Most Affected Retailers

  • Retailer 1137 (67 occurrences)
  • Retailer 1272 (53 occurrences)
  • Retailer 1148 (38 occurrences)
  • Retailer 1282 (38 occurrences)
  • Retailer 1225 (33 occurrences)

Most Affected Products

  • Product 113110 (91 occurrences)
  • Product 112110 (70 occurrences)
  • Product 5110 (48 occurrences)
  • Product 31110 (44 occurrences)
  • Product 111110 (43 occurrences)

2. High Discount Sales (627 occurrences)

These transactions show discounts exceeding 50% of the unit price.

Sample High Discount Sales

  • March 8, 2015: Retailer 1201 sold 39 units of product 113110 at 100% discount ($0 sale price)
  • March 8, 2015: Retailer 1201 sold 39 units of product 112110 at 100% discount ($0 sale price)
  • March 8, 2015: Retailer 1275 sold 1,385 units of product 112110 at 52% discount

3. Unusually High Quantity Sales (2 occurrences)

These transactions show exceptionally high quantities that may warrant verification.

High Quantity Transactions

  • March 7, 2017: Retailer 1226 sold 12,980 units of product 1110
  • February 15, 2018: Retailer 1195 sold 10,413 units of product 50110

Key Insights & Recommendations

  • Investigate Zero Revenue Sales: The concentration of zero revenue sales on specific dates suggests possible promotional events or data recording issues. The pattern by retailer and product should be examined to determine if these represent legitimate business activities.
  • Review High Discount Patterns: With over 600 sales showing discounts above 50%, it's important to verify whether these represent legitimate business practices or potential data quality issues.
  • Examine High Quantity Sales: The two exceptionally high quantity sales should be validated to ensure they represent actual transactions rather than data entry errors.

Contact Us

Contact us for inquiries or test access