Data & Analytics

Transform raw metrics into actionable business insights using the "So What?" methodology to bridge the gap between data and decisions.

Calculate break-even points in units and revenue, analyze multi-product scenarios with weighted contribution margins, and run sensitivity …

Break down fixed vs. variable costs, calculate break-even points, implement activity-based costing, and identify cost optimization …

Conduct rigorous cost-benefit analyses with NPV, ROI, IRR calculations, sensitivity testing, and intangible valuation for investment and …

Analyze true profitability by customer and product using activity-based costing, cost-to-serve analysis, and ABC segmentation to identify …

Segment customers using RFM analysis, K-Means clustering, and behavioral data to identify high-value groups, predict churn, and build …

Calculate and interpret liquidity, profitability, and efficiency ratios from financial statement inputs. Get plain-language insights about …

Diagnose why profit margins are shrinking with systematic root cause analysis, cost component breakdown, product mix evaluation, and …

Identify, classify, and analyze related party transactions for compliance with IAS 24, ASC 850, and ISA 550. Detect fraud patterns, assess …

Calculate and score my startup's traction across 7 dimensions: viral coefficient, retention health, financial sustainability, growth engine …

Calculate and analyze SaaS unit economics including CAC, LTV, LTV:CAC ratio, payback period, churn rates, and net revenue retention to …

Analyze and optimize inventory, accounts receivable, and accounts payable cycles to maximize cash flow, reduce carrying costs, and improve …

Master complex Excel formulas with AI assistance. From VLOOKUPs to dynamic arrays, get the exact formula you need with explanations.

Generate optimized SQL queries from plain English. Supports MySQL, PostgreSQL, SQLite, and SQL Server with performance best practices.

Design and analyze A/B tests with proper statistical rigor, sample size calculations, and significance testing.

Choose the right chart type for your data with a systematic approach based on data type and communication goal.

Track user behavior over time by grouping users into cohorts based on shared characteristics or acquisition date.

Parse, transform, and convert between CSV, JSON, and other data formats with best practices for data interchange.

Analyze customer behavior, calculate lifetime value, segment customers, and predict churn using data-driven methods.

Design effective business intelligence dashboards with clear KPIs, intuitive layouts, and actionable insights.

Comprehensive data analysis framework covering the full analytics lifecycle from problem definition to actionable insights.

Master data preparation and cleaning techniques to transform raw, messy data into analysis-ready datasets.

Navigate data ethics, privacy regulations, and responsible analytics practices to build trust and compliance.

Turn numbers into insights with frameworks for interpreting analysis results and communicating findings effectively.