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.
335
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285
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5
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Filtered prompts
5 prompts match the current filters
Advanced Financial Analysis DAX Formulas in Power BI
Creates complex DAX measures for time intelligence calculations, cost allocation, and profitability analysis by segment in Power BI.
Best for
Develop a production-ready set of DAX measures that solve the most common financial BI calculations: YoY, YTD, PMPM, margin calculation by segment, indirect expense allocation, and linear forecasting in Power BI Desktop.
Predictive Analysis with Python: Regression and Demand Forecasting
Builds a demand forecasting model using scikit-learn and Prophet, with cross-validation and API deployment for daily business use.
Best for
Create a complete Python predictive analytics pipeline — from data preparation to generating forecasts consumable by the operations team — using linear regression, decision trees, and Facebook Prophet for time series analysis.
Multichannel Marketing Data Correlation with Revenue Attribution
Correlation analysis between marketing channels (Google, Meta, email, organic) and revenue, with a multi-touch attribution model for budget optimization.
Best for
Identify which marketing channels have the highest correlation with conversions and revenue, build a multi-touch attribution model, and distribute media budget based on actual performance data—replacing last-click attribution.
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
Complete framework for calculating SaaS Lifetime Value with segmented churn by plan, inflation correction, and strategic use of LTV for CAC decisions, pricing, and product cohorts.
Best for
Develop a robust LTV model accounting for real market conditions—interest rates, inflation, segmented churn, and currency effects—enabling the growth team to make acquisition budget, pricing, and product decisions based on actual customer value per cohort.
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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.
