Most BI/analytics systems present users with KPIs but don’t provide support for identifying drivers with causal effects on outputs, requiring users to perform additional manual analysis to identify root causes for KPI deviation from norm.
Goals and Objectives
Allow analysts and business users to input desired output variables and automatically identify drivers with causal relationship to the output and allow analysts’ workflow to be guided by system-generated recommendations based on historical data, expert identification, and crowd usage patterns.
BI and analysis software that incorporates machine learning, n-dimensional analysis, data visualization, and advanced and predictive analytics; optimization, rules engines, search, conversational AI, NLP, NLG
Use Case Summary
Decision support capabilities that identify what happened, why it happened, and what to do in response