In this post, I will try to highlight key differences between process mining and data mining, and explain why we should be paying greater attention than we currently are to the former.
In this post, I want to briefly discuss a broadly-misused term, and attempt to define it. When I say broadly misused, I mean exactly that. Whether on the job or elsewhere — such as today, at a webinar run by a prestigious analytics firm — the truth is most people who routinely use IT services do not have a proper understanding of the terms ‘real time’ or ‘real-time system.’ Continue reading
Queueing theory and modeling provide us with “closed-form” analytical solutions to problems involving, reasonably enough, queues. Indeed, this type of performance-focused modeling is central to properly planning and sizing infrastructure and facilities of many types, from a new hospital building with interconnected services to servers, bridges, and routers on a distributed communications network, checkout registers at a retailer, toll booths (and lanes) on an interstate, conveyor belts at an airport, or teller and drive-through windows at a bank. Complex models can be joined to form queueing networks.