{"id":10817,"date":"2020-09-28T10:39:33","date_gmt":"2020-09-28T10:39:33","guid":{"rendered":"https:\/\/bluetab.net\/utility-multinacional-del-sector-energetico\/"},"modified":"2020-09-28T10:39:33","modified_gmt":"2020-09-28T10:39:33","slug":"multinational-energy-sector-utility","status":"publish","type":"post","link":"https:\/\/bluetab.es\/en\/2020\/09\/multinational-energy-sector-utility\/","title":{"rendered":"Multinational energy sector utility"},"content":{"rendered":"<p>50% optimisation of AWS costs.<\/p>\n<p>Our client is a multinational leader in the energy sector with investments in extraction, generation and distribution, with a significant presence in Europe and Latin America. It has undertaken a major digital transformation process in recent years, moving from a classic legacy on-premises closed architecture strategy to a strategy of flexible, non-limiting architectures based on AWS cloud platforms and ad-hoc design solutions for each use case.<\/p>\n<p>Bluetab Mexico began the segregation of the use cases carried out in its HQ to adapt them to the global requirements environment. This segregation required the establishment of a Data Lake in which the various use cases are being implemented under governance models that manage the cycle from the sources and the implementation of analytical models for various business requirements.<\/p>\n<p>In addition to managing the complexity of the end-to-end project and developing the models, redesigning and optimising the AWS architectures saved our client 50% of their starting costs.<\/p>\n<p>CASOS DE \u00c9XITO<\/p>\n<p>\t\t\t\t<a href=\"https:\/\/bluetab.net\/en\/entidad-financiera-lider-en-su-geografia\/\"><br \/>\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bluetab.net\/wp-content\/uploads\/2020\/09\/nesa-by-makers-igur1ix0mqm-unsplash-300x200.jpeg\" title=\"\" alt=\"Foto por NESA by Makers en Unsplash\" \/>\t\t\t\t<\/a><\/p>\n<h2 ><a href=\"https:\/\/bluetab.net\/en\/entidad-financiera-lider-en-su-geografia\/\">A leading financial institution in its geographical region<\/a><\/h2>\n<p>ATM channel shortage monitoring model.Our client is a universal financial services entity and a leader in its geographical region. Like the entire sector, and in its process of continual optimisation of its ATM channel management, it is developing monitoring models&hellip;<\/p>\n<p>\t\t\t\t<a href=\"https:\/\/bluetab.net\/en\/multinational-energy-sector-utility\/\"><br \/>\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bluetab.net\/wp-content\/uploads\/2020\/09\/thisisengineering-raeng-bg0geue-cy8-unsplash-scaled.jpeg\" title=\"\" alt=\"Foto por ThisisEngineering RAEng en Unsplash\" \/>\t\t\t\t<\/a><\/p>\n<h2 ><a href=\"https:\/\/bluetab.net\/en\/multinational-energy-sector-utility\/\">Multinational energy sector utility<\/a><\/h2>\n<p>Optimizaci\u00f3n del 50% en los costes AWS. Nuestro cliente es una multinacional referente del sector de la energ\u00eda con inversiones en extracci\u00f3n, generaci\u00f3n y distribuci\u00f3n, con importante implantaci\u00f3n en Europa y Latinoam\u00e9rica. En los \u00faltimos a\u00f1os ha emprendido un importante&hellip;<\/p>\n<p>\t\t\t\t<a href=\"https:\/\/bluetab.net\/en\/nps\/\"><br \/>\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bluetab.net\/wp-content\/uploads\/2020\/09\/john-barkiple-l090ufwopai-unsplash-scaled.jpeg\" title=\"\" alt=\"Foto por John Barkiple en Unsplash\" \/>\t\t\t\t<\/a><\/p>\n<h2 ><a href=\"https:\/\/bluetab.net\/en\/nps\/\">NPS<\/a><\/h2>\n<p>Project for the Customer Experience area of \u200b\u200ba Telco operator. Preparation and quantitative and qualitative analysis of customer surveys to determine the basic indicator of customer experience with the company and its services.The Bluetab Data Scientist team designed an automatism&hellip;<\/p>\n<p>\t\t\t\t<a href=\"https:\/\/bluetab.net\/en\/modelo-de-prediccion-de-fraude\/\"><br \/>\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bluetab.net\/wp-content\/uploads\/2020\/09\/kaleidico-3v8xo5gbusk-unsplash-scaled.jpeg\" title=\"\" alt=\"Foto por Kaleidico en Unsplash\" \/>\t\t\t\t<\/a><\/p>\n<h2 ><a href=\"https:\/\/bluetab.net\/en\/modelo-de-prediccion-de-fraude\/\">Fraud prediction model<\/a><\/h2>\n<p>Design of the predictive model of Web Frauds carried out by Bluetab for a leading financial institution in the Spanish marketIt consists of developing a predictive algorithm capable of classifying browsing sessions according to their similarity to sessions in which&hellip;<\/p>\n<p>\t\t\t\t<a href=\"https:\/\/bluetab.net\/en\/crm-con-inteligencia-artificial\/\"><br \/>\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bluetab.net\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg\" title=\"\" alt=\"Foto por Photos Hobby en Unsplash\" \/>\t\t\t\t<\/a><\/p>\n<h2 ><a href=\"https:\/\/bluetab.net\/en\/crm-con-inteligencia-artificial\/\">CRM with artificial intelligence<\/a><\/h2>\n<p>As a follow-up to the technological strategy of one of the leading financial institutions, a machine learning algorithm is implemented to predict and prioritize the best offering mix to propose to customers, with the aim of increasing cross-selling and linking&hellip;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>50% optimisation of AWS costs. Our client is a multinational leader in the energy sector with investments in extraction, generation and distribution, with a significant presence in Europe and Latin America. It has undertaken a major digital transformation process in recent years, moving from a classic legacy on-premises closed architecture strategy to a strategy of [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":5203,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[20],"tags":[23,21],"class_list":["post-10817","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-casos-2","tag-augmented-analytics-2","tag-data-strategy-2"],"acf":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/posts\/10817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/comments?post=10817"}],"version-history":[{"count":0,"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/posts\/10817\/revisions"}],"wp:attachment":[{"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/media?parent=10817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/categories?post=10817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bluetab.es\/en\/wp-json\/wp\/v2\/tags?post=10817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}