Arent a lot of businesses being sold on "real time analytics" these days?
That mixes the uses cases of analytics and operations because everyone is led to believe that things that happened in last 10 minutes must go through the analytics lens and yield actionable insights in real time so their operational systems can react/adapt instantly.
Most business processes probably don't need anywhere near such real time analytics capability but it is very easy to think (or be convinced that) we do. Especially if I am a owner of a given business process (with an IT budget) why wouldn't I want the ability to understand trends in real-time and react to it if not get ahead of them and predict/be prepared. Anything less than that is seen as being shamefully behind on the tech curve.
In this context-- the section in article where it says present data is of virtually zero importance to analytics is no longer true. We need a real solution even if we apply those (presumably complex and costly) solutions to only the most deserving use cases (and not abuse them).
What is the current thinking in this space? I am sure there are technical solutions here but what is the framework to evaluate which use case actually deserves pursuing such a setup.
That mixes the uses cases of analytics and operations because everyone is led to believe that things that happened in last 10 minutes must go through the analytics lens and yield actionable insights in real time so their operational systems can react/adapt instantly.
Most business processes probably don't need anywhere near such real time analytics capability but it is very easy to think (or be convinced that) we do. Especially if I am a owner of a given business process (with an IT budget) why wouldn't I want the ability to understand trends in real-time and react to it if not get ahead of them and predict/be prepared. Anything less than that is seen as being shamefully behind on the tech curve.
In this context-- the section in article where it says present data is of virtually zero importance to analytics is no longer true. We need a real solution even if we apply those (presumably complex and costly) solutions to only the most deserving use cases (and not abuse them).
What is the current thinking in this space? I am sure there are technical solutions here but what is the framework to evaluate which use case actually deserves pursuing such a setup.
Curious to hear.