For many types of systems and measurements, the rate of change is more important than the actual measure.
In physics, g-force is a function of acceleration not speed – no matter how fast you are traveling, you feel at rest as long as your speed doesn’t change. If you want to know more about analytics then you can browse https://www.klarinetsolutions.com/intranet/
In the world of business, stock traders often focus on “momentum” – how rapidly a stock or market price is moving up or down.
And in web analytics, we often care about if traffic is going up more than its authentic absolute level. In this short series, I'm going to go over some areas of internet measurement where theories of rates-of-change and speed haven't been extensively accommodated but are, nevertheless, extremely useful.
Content Evaluation / Editorial Reporting
Nowhere is the concept of rate-of-change/velocity more significant than when it comes to creating networking metrics for reporting.
Raw numbers about article ingestion are almost meaningless except when known from the context of how long the guide was in the flow and what place it has been given during that time.
If you're supplying your editorial team with a daily report on content page views, you are forcing them to place each post in that context: emotionally doing the arithmetic of when an article was pushed, what position's it's held, and, given those two facts, the way that compares to previous content performance. That's a lot to maintain on the mind and it makes using those reports considerably harder than it ought to be.