How do we find Anomalies in our Time Series Data?

Manually

Simply by looking at the data and detecting with your eyes. Using a time series chart it is relatively easy to find where the data deviates from the pattern.

However this method is simply not practical because it needs us to constantly watch it and is also prone to human error.

Automatically with Machine Learning (ML)

Using ML algorithms, the systems learns the normal patterns in the data. As a result it can then detect any anomalies. Unlike manual or simple statistic methods, ML minimizes false positives by scaling the provided data in real time.

Although the cost to implement and maintain them is high, it is the most scalable, most accurate and the fastest solution