{"id":5377,"date":"2024-01-05T09:21:20","date_gmt":"2024-01-05T09:21:20","guid":{"rendered":"https:\/\/www.factorydata.com\/?p=5377&amp;lang=en"},"modified":"2024-01-05T09:21:20","modified_gmt":"2024-01-05T09:21:20","slug":"business-intelligence-analytics-solutions-specifics-for-auto-parts-companies","status":"publish","type":"post","link":"https:\/\/www.factorydata.com\/en\/business-intelligence-analytics-solutions-specifics-for-auto-parts-companies\/","title":{"rendered":"Business Intelligence &#038; Analytics solutions, specifics for auto parts companies"},"content":{"rendered":"<h4>In the previous <a href=\"https:\/\/www.factorydata.com\/en\/2023\/11\/27\/analytics-and-business-intelligence-solutions\/?lang=en\">blog <\/a>we looked at the main areas where <strong>data<\/strong> can help aftermarket companies <strong>identify weaknesses and opportunities<\/strong> and, ultimately, allow them to <strong>generate greater performance<\/strong>. We also saw different Business Intelligence &amp; Analytics solutions that exist on the market, some of them generic and others specific for auto parts companies.<\/h4>\n<h4>In this article we are going to <strong>analyze in more detail the Business Intelligence &amp; Analytics solutions, developed specifically for auto parts companies<\/strong>.<\/h4>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2024\/01\/Table_BI_A_AUTO-ENG.png\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-5379\" src=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2024\/01\/Table_BI_A_AUTO-ENG.png\" alt=\"Table_BI_A_AUTO-ENG\" width=\"992\" height=\"332\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<h4>As we can see, in the market we can find different solutions, although in reality the offer is not very extensive, basically, because <strong>the requirements to develop solutions for most areas of analysis, in a specific sector, require having huge databases about the domain in particular, which require a lot of effort to create and maintain<\/strong>.<\/h4>\n<h4><strong>Data structure used in the solutions is a very important factor and determines in some way the possibilities and limitations that can implement based on it, in particular<\/strong>:<\/h4>\n<ul>\n<li>\n<h4>Analysis <strong>Granularity level<\/strong> (Make\/model\/engine, transmission type, OE, IAM, &#8230;)<\/h4>\n<\/li>\n<li>\n<h4>Analysis <strong>Coverage level<\/strong> (Product families, Application segments: Passenger, Truck, Industrial, Marine, Motorcycles,&#8230;).<\/h4>\n<\/li>\n<\/ul>\n<h4>The vast majority of these solutions are based on the Tecdoc and\/or ACES\/PIES data structure, which in some way represent the main market standards in Europe and America. The company, <strong>Factory Data<\/strong>, on the other hand, <strong>bases its analyzes on a different and independent data structure from the auto parts industry, the NEO code\u00ae<\/strong>.<\/h4>\n<h4>In future articles we will analyze in more depth the benefits that Business Intelligence and Analysis solutions bring to companies depending on the analyzed area: product data, product range, search engine, prices and finances.<\/h4>\n<h4>Undoubtedly, <strong>the complexity of data and the speed at which events occur in the market increasingly force companies to use analysis solutions<\/strong> that allow them to <strong>improve efficiency and profitability in their businesses<\/strong>.<\/h4>\n<p>&nbsp;<\/p>\n<p>By Joan Cab\u00f3s<br \/>\nCEO &amp; founder<\/p>","protected":false},"excerpt":{"rendered":"<p>In the previous blog we looked at the main areas where data can help aftermarket companies identify weaknesses and opportunities [&hellip;]<\/p>","protected":false},"author":1,"featured_media":5372,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[20],"tags":[28,164,110,208,210,146,190],"class_list":["post-5377","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-neo-en","tag-assortment-planning","tag-automotive-aftermarket","tag-big-data","tag-business-inteligence","tag-data-analysis","tag-neo","tag-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Business Intelligence &amp; 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