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[vc_row][vc_column][vc_column_text]Analytics is exploding.. Just take a look at these graphs.
Business 2 Community: Growth rate for Data Science jobs continues to increase
As a matter of fact, analytics have become an inseparable part of our day-to-day lives. What’s making analytics so powerful and useful is the evolution from descriptive analytics (using data to describe past events) to predictive analytics (using the data to predict future patterns), and even more so to prescriptive analytics – using the data to recommend the actions we should take.
Take weather for example. Weather forecast is one of the oldest and most common forms of predictive analytics. As the models become more sophisticated with the use of advanced analytics, weather forecast has become markedly more reliable. Taking it to the next level, we can use these models to recommend specific actions, such as rerouting sea and air traffic to avoid severe weather, or increasing the shipment of shovels and other storm-related supplies prior to a major snow storm. Weather information and is even used by the Alabama’s Birmingham Zoo to predict visitor traffic and plan its staffing accordingly.
|Descriptive – directions||Predictive – time prediction||Prescriptive – faster route|
GPS is another form of analytics which has become a ubiquitous part of our lives. The basic descriptive navigation provides directions from point A to point B. The predictive form of navigation analytics would tell us how long it would take to get to our destination given current and expected traffic patterns. Prescriptive analytics tells us which route would be faster and even recommend alternative routes on the fly as new data is received.
|Descriptive – weather now||Predictive – forecast||Prescriptive – alerts|
The same evolution that has made analytics so useful in the day-to-day lives of every person is making ITOA an indispensable part of the IT Operations tool set.
IT Operations Analytics (ITOA) offer an effective approach for retrieving, reporting, and analyzing IT-related data, providing insight that can help you meet key objectives for your IT operations. ITOA solutions provide visibility into all aspects of your IT operations and deliver value on several different levels.
In a descriptive model, data on past events is analyzed in an attempt to correlated cause and effect. For example, it may point to a loss of network capacity as the cause for a degraded response time. Based on this analysis, measures can be taken to prevent similar issues in the future.
Predictive analytics takes the analysis one step forward, using past data to formulate a model of future behavior. As such, predictive analytics will forecast future outcomes and identify risks in the IT infrastructure. For example, it may identify a single point of failure in the infrastructure and project the potential impact of this risk under certain scenarios.
This is the most advanced stage of IT Operations Analytics. Based on the prediction of potential outcomes and an inference of the contributing risk factors, prescriptive analytics solutions can suggest corrective actions that will eliminate the risks and minimize the likelihood of service disruption.
Our 2015 ITOA survey showed that almost half (47%) of the organizations with over 10,000 employees already have some form of ITOA initiative in place. Even more important, 76% of the executives that use IT Operations Analytics reported that these solutions are either helpful or extremely helpful in early detection of critical IT issues.[/vc_column_text][vc_raw_html]
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