Detect Patterns With Outliers

Use the TIME SERIES Outlier and Anomaly Detection Template, and then you will identify up to 13 distinct patterns of behaviour in your Key Performance Metrics (KPIs) or business ratios: across customers, sales channels, product SKUs, or other levels of business.

As you can see from the FREE SAMPLE OUTPUT - TIME SERIES Outlier and Anomaly Detection Template, the TIME SERIES Outlier and Anomaly Detection Template will automatically graph up to 13 distinct patterns of behaviour on a pivot chart so you can visualize them. And so, you have up to 13 possible patterns of behaviour that you can forecast into the future.

Some of the 13 trends identified by the TIME SERIES Outlier and Anomaly Detection Template capture the unusual events (outliers) that need to be addressed to improve business operations. Maybe this means improving customer satisfaction, lowering product delivery costs, better targeting marketing campaigns, or making improvements to service networks.

You can focus on these unusual events (outliers) patterns that the TIME SERIES Outlier and Anomaly Detection Template finds and apply simple forceasting techniques such as 2-period moving averages or linear regression. In this way, you can forecast the unusual business activity that will skew your KPIs and ratios when reporting.

And, if you can forecast them, you can try to predict them using other data in your database. And that's an invaluable business analytics tool for any analyst or decision-maker.