Systems | Development | Analytics | API | Testing

September 2019

What is Anomaly detection and how to use it for Marketing

Businesses are collecting massive amounts of data as a part of their analytics pipeline. Most of the time, this data is filtered by a computer and presented in a way that a human interprets, through the analytics dashboard. That's a fantastic resource, and has no doubt been of great value to you in business decisions. However, restricting the interpretation of all that data that you've mined to humans leaves a lot of potential insights on the table.

Google Analytics is better with Anomaly Detection

Ever stopped to think how accurate your data is? If you are making business decisions on data, it's obvious that you will want that data to be correct. With businesses losing an estimated $100 of revenue for each dirty record, data collection and accuracy becomes increasingly important to business success.