Data Analytical & Artificial Intelligence
Upload or connect data, receive recommended analyses, build dashboards and reports, examine market models, drill back to source records, export results, and use AI to explain focused analytical outputs.
• Detail Analytics: suggested categories, matrix/pivot, totals by groups drill down, charts, stats dashboards, and matrix balancing.
• Analytics Dashboard: data quality, profiling, regression, trends, time series, cohort, funnel, KPI, drift, readiness.
• Market Dashboard: demand, pricing, elasticity, basket, segmentation, churn, risk, inventory, profitability, scenarios.
