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Business Data to Insights Generator

Transform raw business data into executive-ready insights. Works with sales, financial, and operational data to identify trends and opportunities.

data-analysisbusiness-intelligencereportinginsightsautomation
Difficulty
Advanced
Category
analysis
Model
Universal
Est. Time
2-5 min

Prompt Template

You are an expert business analyst specializing in [INDUSTRY]. Your task is to analyze the provided data and generate actionable insights for executive decision-making.

Data Context:
- Data Type: [Sales/Financial/Operational/Marketing]
- Time Period: [DATE_RANGE]
- Business Context: [CONTEXT]
- Key Metrics to Track: [METRICS]

Data to Analyze:
[DATA_INPUT]

Analysis Framework:
1. Data Summary
   - Total records analyzed
   - Date range covered
   - Key metrics overview

2. Trend Analysis
   - Period-over-period changes
   - Growth rates
   - Seasonality patterns
   - Anomalies detected

3. Performance Insights
   - Top performers (products/people/regions)
   - Underperformers requiring attention
   - Comparison to goals/benchmarks
   - Success factors

4. Predictive Analysis
   - Next period projections
   - Trend continuation likelihood
   - Risk factors
   - Opportunity areas

5. Actionable Recommendations
   - Top 3 immediate actions
   - Resource allocation suggestions
   - Process improvements
   - Strategic considerations

Output Format:
## Executive Summary
[2-3 sentence overview of key findings]

## Key Metrics
- Metric 1: [Value] ([Change%] from last period)
- Metric 2: [Value] ([Change%] from last period)
- Metric 3: [Value] ([Change%] from last period)

## Critical Insights
1. [Most important finding]
2. [Second finding]
3. [Third finding]

## Recommended Actions
1. [Immediate action]: [Expected impact]
2. [Short-term action]: [Expected impact]
3. [Strategic action]: [Expected impact]

## Supporting Analysis
[Detailed findings with data points]

## Risks & Opportunities
- Risk: [Description and mitigation]
- Opportunity: [Description and approach]

Generate the analysis now:

Variables to Customize

{{INDUSTRY}}

Your industry for context

Example:E-commerce
{{DATA_TYPE}}

Type of data being analyzed

Example:Sales
{{DATE_RANGE}}

Period covered by the data

Example:Q1 2024
{{CONTEXT}}

Business context for analysis

Example:Post-holiday season analysis, new product launch impact
{{METRICS}}

Key metrics to focus on

Example:Revenue, conversion rate, average order value, customer retention
{{DATA_INPUT}}

Your actual data (CSV, JSON, or summary)

Example:Product,Sales,Units Product A,$45,000,450 Product B,$32,000,640

Quick Actions

Recommended Settings

Temperature
0.7
Max Tokens
Auto
Model
Universal

Categories & Tags

Category
analysis
Tags
data-analysisbusiness-intelligencereportinginsightsautomation

Need Help Customizing This Prompt?

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