Predictive Process Analytics for Cloud Computing

February 18, 2015 Off By David

Grazed from BackupTechnology.  Author: Editorial Staff.

Predictive process analytics assumes greater importance in cloud computing scenarios. This is especially so, as processes are executed over the Internet and they are accessed by users from multiple locations with varying levels of bandwidth and connectivity.  It is important to find answers to all of the following questions:

• How well do these processes execute?
• What are the problems being experienced by users?
• What glitches can we expect to face in the future with these same processes in place?
• What needs to be done to ensure that the processes execute as desired?…


Predictive process analysis uses statistical models in the analysis of how processes are executed and uses simulations to predict how the process will behave under different constraints. Since the exercise uses historical data, it is necessarily a post mortem exercise. The constraints used during the simulation exercise are locational constraints, time constraints, and process constraints that are derived from process data available with the organisation and recorded during the execution of the process…

Read more from the source @ http://blog.backup-technology.com/14301/predictive-process-analytics-cloud-computing/