Panorama Ruby – an AI-Powered Autonomous Analytics solution that continuously collects and analyzes huge amounts of data available within organizations, and uses AI, machine learning and advanced analytics to automatically generate and send personalized key insights with explanations (“Gems”), to relevant users, without human intervention. Such key insights are personalized and prioritized per each user based on Vertical Industry, Department, Role & Responsibility, Level, Interests and Usage.
Some insights are impossible or
difficult to find with BI tools:
Correlations, contextual outliers, etc.
Finding such insights requires
advanced AI & ML.
BI allows users to analyze data manually. This is useful when users know which questions to ask. But manual analytics can’t help users to investigate unknown unknowns, where users don’t know what to ask.
To see everything that may be
interesting in the BI dashboards and
reports, users need to go through all
reports, and in each report – try all
combinations of filters. Impractical.
BI users can consume and analyze
only data in existing dashboards and
reports. Yet these predefined reports
do not cover all aspects of business
and operations.
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