The need to increase IT operational efficiencies, along with the need for advanced knowledge of impending problems, has been a driving force behind the quest to implement technology that brings intelligence to the decision-making process. For years, scientists have used mathematical analysis techniques to understand the behavior of things and events. Just as scientists rely on real-time analytics to track a hurricane, visionary IT professionals are adopting these technologies to safeguard the health of critical IT systems and associated business services. The use of analytics is helping organizations shift from a reactionary model to more of a proactive and preventative one. By applying real-time analytics technology that self-learns, companies can now forecast application and service behavior before problems even occur.
Today, leading financial institutions are beginning to adopt technology that constantly adapts to IT changes and provides action-oriented information on potential IT infrastructure needs. Analytics plays an important role in this capacity for its ability to identify risk or opportunities, as well as observe best practices. Through activity-based management techniques, organizations can apply analytics to tap into collective data and get an overall picture of the current and future health of IT systems. Who knew math could be so fun?!
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