Not all analytics are created equal
Analytics are core to all modern SaaS applications. There is no way to successfully operate a SaaS application without monitoring how it is performing, what it’s doing internally, and how successful it is at accomplishing its goals.However, there are many types of analytics that modern applications need to monitor and examine. The purpose, value, accuracy, and reliability of those analytics vary greatly depending on how they are measured, how they are used, and who makes use of them. [ Also on InfoWorld: How to choose a data analytics platform ] There are essentially three classes of analytics with radically different use cases.To read this article in full, please click here
Analytics are core to all modern SaaS applications. There is no way to successfully operate a SaaS application without monitoring how it is performing, what it’s doing internally, and how successful it is at accomplishing its goals.
However, there are many types of analytics that modern applications need to monitor and examine. The purpose, value, accuracy, and reliability of those analytics vary greatly depending on how they are measured, how they are used, and who makes use of them.
There are essentially three classes of analytics with radically different use cases.
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