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
analysisTags
data-analysisbusiness-intelligencereportinginsightsautomation
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