{"id":1052,"date":"2018-07-02T22:46:06","date_gmt":"2018-07-02T22:46:06","guid":{"rendered":"http:\/\/lsd1.ls.fi.upm.es\/clouddb2\/?page_id=1052"},"modified":"2020-01-16T15:54:59","modified_gmt":"2020-01-16T15:54:59","slug":"use-cases","status":"publish","type":"page","link":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/use-cases\/","title":{"rendered":"Use Cases"},"content":{"rendered":"<p>The concept of the CloudDBAppliance project was validated using finance, retail and telecommunication use cases.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1585 size-full\" src=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/f08eb537-f240-4acc-bb5b-5aa04ae24846.png\" alt=\"\" width=\"180\" height=\"135\" \/><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1643\" src=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/logo_qivos-350x233.png\" alt=\"\" width=\"180\" height=\"120\" srcset=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/logo_qivos-350x233.png 350w, https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/logo_qivos-300x200.png 300w, https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/logo_qivos.png 660w\" sizes=\"auto, (max-width: 180px) 100vw, 180px\" \/><\/p>\n<h3 class=\"entry-title\">Real-Time Proximity Marketing<\/h3>\n<p>Provide real-time personalized recommendations to customers considering historical data, current shopping cart and the itinerary in the store.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1587\" src=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/3223a254-0625-4e62-9b84-c141df65764b.png\" alt=\"\" width=\"240\" height=\"135\" \/><\/p>\n<h3 class=\"entry-title\">Risk Management Support<\/h3>\n<p>Calculate risk exposure based on collected market &amp; operational data in near real time.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1588 size-full\" src=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/deed9986-dab1-4dc2-99a8-4641e417e4ed.png\" alt=\"\" width=\"240\" height=\"135\" \/>\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1647\" src=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/maxresdefault-350x197.jpg\" alt=\"\" width=\"240\" height=\"135\" srcset=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/maxresdefault-350x197.jpg 350w, https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/maxresdefault-768x432.jpg 768w, https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/maxresdefault-1024x576.jpg 1024w, https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/maxresdefault-356x200.jpg 356w, https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/maxresdefault.jpg 1280w\" sizes=\"auto, (max-width: 240px) 100vw, 240px\" \/><\/p>\n<h3 class=\"entry-title\">Immediate Mobility Number Portability<\/h3>\n<p>Speed up the mobile number portability service nation-wide providing real-time response and minimizing the risk of the failure.<\/p>\n<div><\/div>\n<div><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1589\" src=\"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-content\/uploads\/sites\/7\/2020\/01\/ee2cef24-f565-4843-8c0b-c9762bb488a7.png\" alt=\"\" width=\"300\" height=\"150\" \/><\/div>\n<h3 class=\"entry-title\">Real-Time Personalized Pricing<\/h3>\n<p>Address existing limitations in product demand prediction in\u00a0physical grocery stores.<\/p>\n<p>&nbsp;<\/p>\n<h3 class=\"entry-title\">Optimizing ATM Networks<\/h3>\n<p>Optimize the ATM cash allocation in a dynamic way improving the leftover cash and minimizing the ATM cashouts.<\/p>\n<p>&nbsp;<\/p>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The concept of the CloudDBAppliance project was validated using finance, retail and telecommunication use cases. Real-Time Proximity Marketing Provide real-time personalized recommendations to customers considering historical data, current shopping cart and the itinerary in the store. Risk Management Support Calculate risk exposure based on collected market &amp; operational data in &hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1052","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/pages\/1052","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/comments?post=1052"}],"version-history":[{"count":12,"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/pages\/1052\/revisions"}],"predecessor-version":[{"id":1648,"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/pages\/1052\/revisions\/1648"}],"wp:attachment":[{"href":"https:\/\/lsd1.ls.fi.upm.es\/clouddb2\/wp-json\/wp\/v2\/media?parent=1052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}