Our proprietary analytical engine automatically scans and analyzes the vast amounts of internal and external data on behalf of our clients, looking for emerging opportunities and risks, and proactively presenting the data in ways that enable immediate action.
Verix draws on a number of math and science disciplines in order to develop our analysis algorithms, including the statistical, mathematical, machine learning and bioinformatics fields.
Thanks to this scientific approach, Verix is able to search and analyze massive business datasets and pinpoint statistically significant anomalies. These anomalies, presented as easy-to-understand Intelligent Business Alerts (HotSpots) to the user, represent changes in business performance that signify an emerging trend, opportunity or risk. Verix performs automatic segmentation of the detected exceptions, and analyzes the business drivers attributed to the phenomena.
Verix scans each and every relevant intersection of data, flagging all statistically significant outliers based on historical behavior and business logic.
Verix identifies all common characteristics of the flagged intersections, so that business managers receive high-level alerts relevant to them, eliminating redundancy and clutter that so many other alert systems cause.
Verix quickly begins to analyze additional measures and related data, providing contextual answers (i.e. the “Why”) and categorizing the alerts according to their business meaning.
Company specific business rules can also be applied to prioritize and filter Intelligent Business Alerts (HotSpots).