Operational IntelligenceTurnberry’s Operational Intelligence solutions provide real-time visibility of information, enabling you to make smarter decisions in time to maximize impact. Through advanced dashboards that offer real-time insight into business performance, health and status you are able to take immediate action based on business policies and processes.
Every company is a DATA companyThe IT systems and infrastructure that run your business generate massive volumes of data every day. The industry terms this information as BIG DATA– dynamic, unstructured and non-standard data containing a history of user transactions, customer behavior, security threats, fraudulent activity and more. Today, organizations are challenged with turning the wealth of big data information into decision-making intelligence—Operational Intelligence. Having the ability to manage, process, and analyze these new data sources can provide a significantly better understanding of your customers, your business, and even your competition.
The Roadmap to Operational IntelligenceAccelerating the journey to operational intelligence begins by creating business value from the explosion of machine data. Leverage the four stages of Operational Intelligence to begin making real-time course corrections or quickly chart new directions.
Real-time Business Insight
The pinnacle of operational intelligence comes when machine data is used to track and correlate activity in real-time and to predict behavior, Dashboards are put in place, events are recognized that spur other activity, and predictive models help forestall problems or identify opportunities. At this stage, use can be broad across an organization – often with more business users than IT users. This level of operational intelligence provides the biggest payoff.
IT begins to understand what the business needs by measuring its SLAs and KPIs across the organization as a way to engage the business. The business users begin to understand the value of machine data and are able to answer questions and track consumer behavior in ways not previously possible. A more sophisticated model of customer behavior and important business processes starts to emerge. At this point, the business staff presents IT with additional questions and IT responds with a quick custom dashboard instead of a pointer to unintelligible raw data or a 3-month wait for a new report.
IT proactively monitors data for clues to help avoid the risks identified. Simplified forms of predictive models can be created at this stage. Events and trends that may lead to trouble are identified so that failures can be avoided. As this point, IT usually understands machine data enough to start proposing ways of helping the business.
Search & Investigation
The journey begins as IT departments start exploring machine data as a means to figure out what is going on during a break/fix or security incident happening the a data center. The IT staff uses the data to find a root cause. If the IT staff is aware that the ultimate goal is to find business insights, progress is accelerated. Each data set can be examined not just for what it can say about the systems that produced it but also for what information it offers about customers, key events, or performance of business processes.