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- Automated analysis: Important changes are automatically detected by Yellowfin Signals and sent directly to you as soon as they’re discovered. This aims to reduce human bias, and analysis fatigue.
- Configurable & scalable: The Signals analysis is easily configurable. Let the system know what data trends and insights are important to you. Creating a Signals analysis schedule is a one-time task, but can be updated as your data changes. You can schedule the analysis to run as frequently as you like.
- Personalized: The system knows the data and content you have access to, and will only send Signals based on your data permissions. It also personalizes the Signals it sends to you based on how you interact with all Signals (by rating or watching it).
- Interactive & collaborative: Users that receive a signal can collaborate with other users on it. The system offers other forms of interaction as well, including exploring other related signals, providing a natural language explanation of the generated Signal, tweaking the main Signals chart to compare with similar data, etc.
- Self-improving: The system continuously learns about user’s preferences based on their feedback and interaction. Users can rate Signals, which lets Yellowfin know about the type of Signals of interest to them. Yellowfin aims then to avoid sending irrelevant insights to users by matching tracking the Signals that receive low ratingsthey rate as 'not useful'.
- Relevance: Understands how relevant and important a signal is in relation to your data.
- Explanation: Yellowfin provides additional automated analysis to get to the root cause of the signal using the Assisted Insights functionality.
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