< PrevNext > Predictive Analytics Will Level-Up Duty of Care By PlanetRisk chief strategy officer Mark Dumas / January 27, 2017 Share The complexity and frequency of world events significantly threaten and impact travelers more so every day. The world is interconnected and events can cascade into a chain reaction of delays, frustration or worse: violence. At the same time, the power of globally connected mobile devices means information is always in the hands of today's business travelers. It all adds up to the capability to provide real time information directly to travelers. What seemed far-fetched a decade ago is now achievable.Predictive analytics, at the forefront of data science, employs powerful information systems to scan and recognize when factors will converge to yield problems. This is not new; hedge funds employ this to anticipate stock market moves and medical care providers to anticipate patient reactions to planned treatments.Now, a new class of innovation is looking at the world in much the same way. Because global data is increasing rapidly and events are instantaneously reported on social media, the opportunity for predictive analytics to anticipate problems down to the neighborhood level has arrived. Risk management organizations, too, will benefit from a leveled-up standard for duty of care. Connected business travelers will be able to travel with confidence, security and knowledge and will be able to focus more on productivity and less on uncertainty. Imagine a business traveler or travel arranger receiving an automated notification when they book a hotel in a location deemed to be high risk or unsafe. The online booking tool could suggest an alternative that is safer based on historical incident data and the possibility of an incident occurring in the near future (e.g., 80 percent chance of criminal activity in the area based on past events). Machine learning algorithms will manage the process based on the risk levels the organization's risk management team had already set.