Data Analysis and Business Intelligence

This area groups use cases about Data Analysis and Business Intelligence. Each use case solves a specific situation.

Turn spreadsheets, reports, and raw data into clear answers that drive better business decisions. With AI, you can build executive dashboards, spot sales trends, forecast product demand, and monitor financial and operational KPIs β€” even without being a data specialist. From SQL queries to presentation-ready charts, this area solves the problem of having data but struggling to turn it into action.

Who this area is for

Entrepreneurs who need to understand their numbers, data-driven managers, business analysts, marketing and sales professionals tracking metrics, consultants, and anyone who works with spreadsheets and reports day to day.

Frameworks and methodologies

CRISP-DM (standard 6-step data mining process), KDD Process (knowledge discovery in databases), EDA Workflow (exploratory data analysis to understand patterns before modeling), Balanced Scorecard (metrics system across 4 perspectives: financial, customer, processes, learning), OKRs (objectives and key results to align metrics with strategy).

Use cases in this area

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