The ultimate guide to anomaly detection
Key use cases, techniques, and autoencoder machine learning models
Large volumes of data from business operations are generated every minute, hour, and day. If this data is used correctly, it allows businesses to make better, more informed decisions—and gain a critical competitive advantage.
The problem? Large volumes of data can come with unexpected issues and anomalies.
Anomaly detection allows you to prevent data inaccuracies and unexpected issues in your business. With Spotfire® software, you can detect anomalies and stop minor issues in your data from becoming widespread, time-consuming problems—easier than ever before.
In this whitepaper, we cover everything from the basics to the specifics of anomaly detection, its main use cases, and some key techniques to keep in mind.
