Data Analysis AI prompts
Excel, SQL, data visualization, KPIs and AI-powered reporting. Best for SQL, spreadsheets, dashboards, and KPI reviews, reporting workflows that need clearer logic, summarizing analysis into action-ready recommendations.
338
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5
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3
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Every prompt below is open. Copy it straight into ChatGPT, Claude, or Gemini.
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Filtered prompts
5 prompts match the current filters
Advanced Financial Analysis DAX Formulas in Power BI
An evidence table with finding, source, limitation, impact hypothesis, action and validation. Includes required inputs, evidence checks and a concrete next step.
Best for
Complete “Advanced Financial Analysis DAX Formulas in Power BI” with an evidence table with finding, source, limitation, impact hypothesis, action and validation that can be checked against the supplied evidence.
Predictive Analysis with Python: Regression and Demand Forecasting
An evidence table with finding, source, limitation, impact hypothesis, action and validation. Includes required inputs, evidence checks and a concrete next step.
Best for
Complete “Predictive Analysis with Python: Regression and Demand Forecasting” with an evidence table with finding, source, limitation, impact hypothesis, action and validation that can be checked against the supplied evidence.
Multichannel Marketing Data Correlation with Revenue Attribution
An analysis or query/formula plan with definitions, checks, findings, limitations and decision implications. Includes required inputs, evidence checks and a concrete next step.
Best for
Complete “Multichannel Marketing Data Correlation with Revenue Attribution” with an analysis or query/formula plan with definitions, checks, findings, limitations and decision implications that can be checked against the supplied evidence.
Complete Cohort Analysis: Retention, Revenue, and Product Behavior
Cohort analysis framework for digital products covering user retention, revenue per cohort, feature adoption, and high-value user profile identification.
Best for
Implement cohort analysis across three dimensions—usage retention, cumulative revenue, and feature adoption—to identify which customer cohorts are most valuable, what differentiates users who stay from those who churn, and where to focus product and marketing efforts.
LTV Calculation for SaaS: Models, Segmentation, and Growth Impact
An analysis or query/formula plan with definitions, checks, findings, limitations and decision implications. Includes required inputs, evidence checks and a concrete next step.
Best for
Complete “LTV Calculation for SaaS: Models, Segmentation, and Growth Impact” with an analysis or query/formula plan with definitions, checks, findings, limitations and decision implications that can be checked against the supplied evidence.
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Related categories
Explore adjacent prompt libraries that support data analysis workflows.
Programming & Dev
Code, debugging, architecture, DevOps and AI-powered development
Finance & Accounting
Financial planning, investments, taxes and cash flow management
Project Management
Planning, agile, risk management, communication and deliverables
SEO & Traffic
On-page optimization, link building, SEO content and organic traffic
How to use Data Analysis prompts well
Start with the prompt closest to your workflow, replace any placeholders with your own context, and tell the model what a good output looks like. The fastest improvement usually comes from clearer context, tighter constraints, and a more specific deliverable.
This category is especially useful for SQL, spreadsheets, dashboards, and KPI reviews. Treat the prompt as the execution layer, then refine it into a reusable workflow once you know it solves a real recurring problem.