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The importance of data analytics |

As a private pilot and CEO of an analytics company, I am always relating the similarities in aviation challenges to those of any company, understanding that, in both activities, both pilots and bosses, managers and owners must meet their goal of leading the aircraft safely from one point to another making decisions with reliable information.

Private aviation is taking very fast steps with the incorporation of Advanced Prescriptive Analytics (recommendation of efficient actions) to make flights safer. Thus, the Garmin Aviation brand launched its last system, Autoland, a few months ago, which basically takes full control of the aircraft in situations where the system detects anomalies in the navigation or if a passenger activates the emergency button if the pilot suffered any incident. In this scenario, the system deploys an algorithm that evaluates the best option to land based on the available tracks, its length, wind, weather, distance and autonomy, among other factors. In this way it is able to land the plane safely, brake on the track and stop the engine; All without human intervention.

Aeronautics has already passed Descriptive Analytics to help pilots make decisions, to the next stage: Advanced Prescriptive and Autonomous Analytics. All this at an affordable cost for aircraft owners.

What is it for medium-sized companies in Chile today, especially in complicated times, where Descriptive Analytics or Business Intelligence systems are essential, but not sufficient for the situation of the country? So far we have talked a lot about Artificial Intelligence and Machine Learning as a solution to all problems. But we have not been able to explain that these are tools of Advanced Analytics and that today companies need not only tools, but integral solutions to specific problems, such as the Autoland system.

In that sense, a product that is currently available for retail or companies that manage a lot of inventory are the inventory optimization platforms, which have low cost and allow the optimization of the logistics chain through demand estimation models, performing automatic purchasing actions , supply and distribution, supporting planners or decision makers. Solutions of this type are available today for any company. There are practically no technological or economic barriers to entry; Only cultural, from the same pilots to adapt to the new systems. But if we take into account that today there is no room for error, it is better that we leverage them.

With a clear forecast of bad meteorology, today we must equip our aircraft with advanced analytics systems to support our decisions and hopefully continue enjoying the flight safely.

Guest Columnist:David vila, Biwiser CEO and private pilot

. (tagsToTranslate) big data (t) articles (t) technology