5 Big Data Success Stories

5 Big Data Success Stories

Big Data: cases of success in companies

The new consumer, more demanding and informed, the constant connection to the online world and the great exchange of information on different social networks and digital platforms has increased competition and made understanding of the market more complicated by companies. Currently, a full knowledge of the market can only be achieved by collecting and processing a large number of data. Big Data enables companies to fully understand their target, streamline their business processes, and anticipate trends by taking a proactive action. In today’s article we present you 5 success stories with Big Data!

Starbucks

The well-known brand of coffee stands out for the originality of the space and the drinks that it offers. Also at a computer level, the company likes to innovate. It has been using Big Data solutions for quite some time, so that stays ahead of its competition. Through Big Data, the company is able to generate demographic analyzes that serve as marketplans and openings for new stores. The organization can define ideal sales points by crossing large amounts of data. Their intelligent systems collect information from the people that circulate in a certain area, the traffic of vehicles that exist and availabilities of public transport. Based on the analysis of this information, it is possible to define whether opening a cafeteria in a given area will be a good investment or not. Big Data also allows the brand to know its customers very well and thus can generate discount coupons and personalized promotions.

Nike

Nike has developed software that tells runners about their heart rate, number of steps, speed, distance traveled, and other relevant information. This application integrates with social networks and users share their results on the various digital platforms. This sharing of results generated a climate of healthy competition among athletes, which increased exponentially the data generated daily. Nike took advantage of this information to better know its audience and create new products according to the preferences and needs of the market.

UPS

The US company had the challenge of optimizing its route schedule, thus making them more efficient and with the lowest possible costs. To achieve this result it was necessary to do a mathematical study where all routes of all vehicles were crossed, evaluating speed, time spent on each delivery, pressure, among other factors. The installation of sensors in all the vehicles of the company allowed to collect data that made possible the creation of a solution for its routes. The end result of the Big Data application is very positive: almost 5 million liters of gas saved annually, less need for frequent maintenance and greater efficiency in deliveries.

NBA

This is one of the best examples that optimizing the customer experience can help build a strong brand and pass on its real value to customers. Through Big Data reviews, the NBA provides the public with a personalized experience far beyond a simple basketball game. The spectators receive all new data in real time that allows them to know, every minute, what happened in the games. Inside the basketball court, 6 cameras are available that capture all the moves. Due to this capture of all details, the system assigns tags to all athletes, generating statistics that are made available in real time, such as heat maps, ball possession, among other aspects relevant to this sport’s lovers..

Pinterest

Pinteres is a social media that came, saw and conquered! It currently has about 150 million active users and one of its great assets is the use of Big Data. At Pinterest, data scientists have implemented artificial intelligence, allowing users to customize user experience, create personalized content suggestions, and other aspects that make people who use Pinterest feel special!

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preuyieoPosted on5:48 am - Jul 21, 2018

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