Rapid advancements in information technology, and the proliferation of data has created many opportunities in system performance measurement of multi-tiered architectures.
In this third and final blog on IT Strategies, I look at some examples and techniques of using data analytics in Information Technology Management. In previous postings, I wrote "information technology is the interaction between people, information and technology". When planning IT investments, it’s important that business value be the main driver for delivering solutions.
In an extension to my first blog, I research quantitative analysis of enterprise IT functions to demonstrate how to create IT business value. It has to be established that, with so much data being collected from IT systems, IT managers can use this type of pervasive data to their advantage. Functionality such as maintaining health, securing systems, and properly sizing new systems all have an impact to IT budgets.