Dive into the variety of built-in detection algorithms offered by StarTree ThirdEye, enabling immediate alert creation for a wide range of scenarios. From the simple threshold algorithm for stable signals to the sophisticated matrix profile for time series analysis, each algorithm is designed to cater to specific data patterns, including seasonality, trends, and noise. Understand the strengths and limitations of each, such as the threshold’s simplicity versus its inability to handle seasonality, and the exponential smoothing’s adeptness at trend and seasonality management at the cost of sensitivity to data drift. This overview provides a foundation for selecting the most appropriate algorithm for your data monitoring needs.
Built-In Detection Algorithms | ThirdEye 101

MIT Technology Review
Transform customer experience with real-time analytics
This recent report explores how companies like Stripe and Uber are able to embed real-time analytics in their apps to deliver continuous insights, improve customer engagement, and open new revenue opportunities
Download your copy