His story begins in 2006, when he launched a million-dollar “Netflix prize” for whoever could create the best algorithm to determine subscribers’ opinion of a series or movie based on previous scores. Today, 80% of the content played on netflix comes from the recommendation system. Netflix employs several traditional business intelligence tools (such as teradata and microstrategy) and combines them with modern big data technologies such as hadoop, hive, etc. The result is an algorithm that predetermines the content that users are most likely to see. In the end, the key to netflix’s success is personalization, and big data is what makes it possible. Only then can they provide a unique experience for each user. 2) apple apple uses big data applied to behavioral economics , in order to extract conclusions about its user base and use them in its favor. These are the 6 principles of behavioral economics that have helped him build his brand: tribalism : tribes are social groups with similar interests and beliefs, sharing the same identity. In that sense, users of apple products are a tribe that shares the same aesthetics and lifestyle. Endowment effect : we tend to value things we already own more, and big data shows that we are willing to pay more for them. Apple implements this principle by allowing you to try the products in its stores. Social proof – this principle is based on leveraging user testimonials and recommendations from family and friends.
PepsiCo
Heuristics : people use “Mental shortcuts” to make Turks and Caicos Islands Email List snap judgments. Apple makes the most of this principle in its packaging, since it is considered that if a package is well designed, the product will also be. Halo effect – this cognitive bias judges the quality of a product based on impressions of previous products. Thus, apple has been creating a long history of successful launches that make it buy its brand little less than blindly. Price : apple’s big data analysis reveals that its pricing strategy works, despite being unintuitive: its products are always priced high and they never go on sale. 3) barcelona metro metro de barcelona has implemented the respira system, which uses artificial intelligence to improve ventilation and help control coronavirus infections in the barcelona metro network. This control system analyzes different variables, such as the thermal sensation, temperature, humidity, the quality of the indoor air in the stations and the electrical consumption of the ventilation. All these variables are centrally correlated to establish the optimal ventilation strategy thanks to a dynamic algorithm based on machine learning techniques . 4) amazon the great retail giant is capable of analyzing a brutal amount of customer data.
Amazon
Its algorithms allow it to collect, analyze and use Mailing Lead a massive amount of data from your search and purchase history . For this reason, they are able to offer recommendations with a high probability of generating a purchase, optimize prices and the supply chain, and detect fraud. The secret of its success lies in its advanced big data analysis tools, such as advertising algorithms and the “Amazon elastic mapreduce platform for machine learning”. 5) zara since 2008, when it overtook gap, zara has been the world’s largest clothing retailer. The secret to their success lies in their ability to spot new trends as soon as they emerge and get garments to stores faster to meet their customers’ needs. Zara’s supply chain is based on the use of data and analysis to make predictions and make sound decisions. The data comes from both daily inventory and store orders, as well as customer feedback. In order to analyze all this raw data and make the right decisions, zara incorporates multiple artificial intelligence, automation and big data tools into its business strategy.