From experience, there's a nontrivial intersection between the BI stack and the operative administration stack.
However, in the difference, the admin stack with ELK, Riemann, Graphite, InfluxDB, Airbrake, Icinga and whatever else assumes that 30% of the information right now is worth more than 100% of the information 3 weeks later. You know, my application port is closed, first level support is getting hell, I need any available information right now.
On the other hand, the full data warehouse/tableau stack assumes that 100% of the information is more valuable than anything else. Good DWH-Guys and their analysts can do very awesome data voodoo, predictions and analysis, and the admin stack won't be able to reproduce most of that. It just takes 2 month of data collection and 2 - 3 weeks of analysis to get the result of that grand voodoo. And Tableau can automate that voodoo after it's been done once.
However, in the difference, the admin stack with ELK, Riemann, Graphite, InfluxDB, Airbrake, Icinga and whatever else assumes that 30% of the information right now is worth more than 100% of the information 3 weeks later. You know, my application port is closed, first level support is getting hell, I need any available information right now.
On the other hand, the full data warehouse/tableau stack assumes that 100% of the information is more valuable than anything else. Good DWH-Guys and their analysts can do very awesome data voodoo, predictions and analysis, and the admin stack won't be able to reproduce most of that. It just takes 2 month of data collection and 2 - 3 weeks of analysis to get the result of that grand voodoo. And Tableau can automate that voodoo after it's been done once.