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Operational Intelligence: Decision Making on Steroids
Operational intelligence (OI) is the process of decision making based on analysis of real-time data. OI applications combine business intelligence, data analytics, and AI techniques like machine learning into an interface, typically used by front-line workers, to help them make better and quicker decisions.
Operational Intelligence focuses on and responds to events of importance as they occur. For example, a web site bug or network issue occurs, supply chain delivery issues occur, or an account is flagged with fraud. But the thing that differentiates Operational Intelligence from Business Intelligence is speed of execution — the creation of accelerated decision cycles.
Mike Driscoll, entrepreneur and investor, wrote that “the distinction between operational and business intelligence is analogous to the distinction between fast and slow thinking. One system operates quickly and automatically for simple decisions and the other leverages slow and effortful deliberation for complex decisions.”
Splunk, Sumologic, and ServiceNow are all companies that are offering products for the Operational Intelligence space.
Ratheesh Raveendran, COO of OpsVeda, wrote that “today’s enterprises need operational intelligence to succeed, and arguably to survive, and manage the ever-increasing unpredictability and complexity of business environments. Firms need to react to changing conditions, handle multi-channel sales, and manage a wide range of vendors and product suppliers. Handling this complexity requires that firms move beyond the limitations of BI to operational intelligence platforms that not only offer analytics but also actionable recommendations.”
