Sisense Pulse uses machine learning to trigger data anomaly alerts

Sisense introduced a new tool today called Pulse, which uses machine learning to trigger an alert when it detects results outside of normal parameters for a particular metric. A user can set a Pulse alert to monitor a metric or KPI such as sales activity or win rate. The machine learning component watches the chosen metric and learns over time what's normal. When it detects an anomaly, it sends an alert to the user. What's more, it can determine how the metric has changed over time, so it doesn't continue to trigger alerts for the new normal.