Anomaly detection and forensics
More data means more data points to monitor. Unexpected changes can happen in any chart. When you log-in every day won't you wish someone told you that these are the charts that need your attention. That is exactly what our machine learning system enables. It uses complex machine learning models to detect unexpected changes and then shows you the top few charts that need your attention.
Delivering insights is at the core of the Lore platform. So when you see an unexpected change in a key business metric, you don't have to struggle to find out why? Business users have many hypotheses. Could it because of a new marketing campaign? Could it be a bug in a particular browser? Or a key demographic?
In tradition systems, there are two problems. Each of these hypothesis requires writing ETL and SQL making it hard to test. Even after you have implemented all the hypothesis, checking them for any anomaly takes time.
Lore allows you scan and find hypothesis, build more complex ones based on the User's journey before that event and manage a list of the common hypothesis. Then when a metric changes, Lore can automatically scan and find the most likely hypothesis that applies.