Learning experience in business intelligence application

Learning experience in business intelligence application how to#

Currently, 99% of successful products have a recommendation solution incorporated. Possibly, it is the most common application case of Data Science. This dynamic personalization has already increased complementary revenues by 15% in recent years, according to United. This huge amount of data is used to perform a detailed segmentation of the customer to adapt the UX in real time, according to the category to which a user belongs.ДЄccording to the assigned segment, the airlineвЂ™s website performs calculations in 200 milliseconds to adjust the designs on the screen, the text and other elements of the website to increase the likelihood of conversion. The company tracks customer behavior, collecting data with more than 150 variables, including individual data (for example, previous purchases and search destinations) and general historical data. United Airlines, for example, had a вЂњcollection and analysisвЂќ approach to its data, but has redirected this concept and since 2014, it is applying вЂњcollect, detect and actвЂќ methods already in its landing pages. Going back to the airlines, although in most of the cases where Data Science is applied, it is in the field of contingency management and predictions of delay, some are geared towards UX personalization.

Personalization of the UX (user experience) in airlinesДЄccording to the McKinsey 2016 report, travel companies (and airlines, in particular) if they use Data Science well, have a probability of multiplying their total customers by twenty-six, their customer retention rate by six and their profitability by nineteen.

Learning experience in business intelligence application how to#

If you are looking for new ideas on how to make good use of the huge data your business activity yields, here are 12 scenarios of Machine Learning applications and data analysis in the travel industry. This explosive growth is being driven by recent technological advances, including Data Science.

And the figure is expected to reach 817.54 billion dollars in 2020. Also, why bother if you can get them with just a couple of clicks through your laptop or smartphone?Д®ffectively, travel sales through the digital channel have grown exponentially in recent years, with a total of 564.87 billion dollars in 2016.

In our accelerated day to day, finding time to go to an agency, station or desk for tickets is a luxury that few can afford. вЂњThe tourism industry of the future will not consist of moving people from point A to point B, unveiling new destinations or organizing trips, instead focusing on a 360-degree perspective around the traveler, which implies creating special, unique and memorable experiences for him.вЂќДefining the Future of Travel through Intelligence,Дiscussion paper by Amadeus Travel IntelligenceДo you remember your last trip? Did you collect your tickets directly at the counter? I doubt it.