Today, once presented with KPIs via dashboards, users need to use manual data manipulation and experience to identify root causes for KPI deviation from norm.
Goals and Objectives
To allow analysts’ workflow to be guided by system generated recommendations based on historical data, expert identification, and crowd usage patterns.
Machine learning, n-dimensional analysis, data visualization, and advanced and predictive analytics; optimization, rules engines, search conversational AI, NLP, NLG.
Use Case Summary
To provide decision support capabilities via automation to understand Why something happened without requiring users to spend endless hours on manual exploration of data.