{"id":20877,"date":"2024-09-18T12:22:44","date_gmt":"2024-09-18T12:22:44","guid":{"rendered":"https:\/\/dev2.antsolutions.eu\/?p=20877"},"modified":"2026-03-10T05:34:34","modified_gmt":"2026-03-10T05:34:34","slug":"analisis-de-datos-de-fabricacion-analisis-de-datos-empresariales","status":"publish","type":"post","link":"https:\/\/accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/","title":{"rendered":"An\u00e1lisis de datos de fabricaci\u00f3n - Descubrir informaci\u00f3n con una plataforma de datos empresarial"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"20877\" class=\"elementor elementor-20877\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6d59feea e-flex e-con-boxed e-con e-parent\" data-id=\"6d59feea\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-69f6ee00 elementor-widget elementor-widget-text-editor\" data-id=\"69f6ee00\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\"><br \/>\n<ul>\n<li><strong>Manufacturing data analytics involves collecting and analyzing data from various sources (EMS, MES, ERP) to optimize operations, improve product quality, and drive growth. Key areas of focus include performance, material consumption, costs, and comparative analysis.<br \/><br \/><\/strong><\/li>\n<li><b style=\"background-color: transparent; text-align: var(--text-align);\">Data analysis techniques such as correlational analysis, hypothesis testing, and AI are used to uncover insights, identify bottlenecks, optimize resource utilization, and reduce costs.<br \/><br \/><\/b><\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Benefits of data analytics include improved operational efficiency, enhanced product quality, optimized resource utilization, cost reduction, risk mitigation, and innovation.<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\">\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>Manufacturing Data Analytics: Unlocking Insights with an Enterprise Data Platform<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Manufacturing is undergoing a digital transformation, fueled by the vast amounts of data generated across the production process through systems like EMS, MES, ERP, or other data sources. To harness the full potential of this data, organizations are increasingly adopting Enterprise Data Platforms (EDPs). By centralizing and analyzing data from diverse sources, manufacturers can gain valuable insights to optimize operations, improve product quality, and drive growth. Common analytics tools include Power BI, Dataiku, or Plotly.\u00a0<\/p>\n<p>\u00a0<\/p>\n<figure id=\"attachment_20931\" aria-describedby=\"caption-attachment-20931\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-20931 size-large\" src=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-1024x553.png\" alt=\"\" width=\"1024\" height=\"553\" title=\"\" srcset=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-1024x553.png 1024w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-300x162.png 300w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-768x415.png 768w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-1536x830.png 1536w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-2048x1107.png 2048w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Obraz6-18x10.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-20931\" class=\"wp-caption-text\">Data analytics plays a key role in driving insights from production. EDM Scheme.<\/figcaption><\/figure>\n<div>\n<p>\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>What manufacturing comapnies tend to monitor?<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Manufacturing organizations often focus their analytics efforts on key performance indicators (KPIs) that directly impact their bottom line.\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Core areas of monitoring include:\u00a0\u00a0\u00a0\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Performance:<\/strong> Metrics such as Overall Equipment Effectiveness (OEE), production output, and cycle times are essential for assessing operational efficiency.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Material Consumption:<\/strong> Tracking raw material usage, waste generation, and inventory levels helps optimize resource utilization.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Costs:<\/strong> Analyzing production costs, energy consumption, and labor expenses is crucial for cost management.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Comparative Analysis:<\/strong> Comparing performance across different production sites or product lines provides valuable benchmarks.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Strategic Impact: <\/strong>Evaluating the effectiveness of various initiatives and strategies helps refine business decisions.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>UX Changes:<\/strong> Ease of changes in the interface possibility of independent modifications and creation of various variants.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>Why do goods producers need to analyse collected data?<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">The overarching goal of manufacturing data analytics is to gain a comprehensive understanding of operations and identify areas for improvement. Key objectives include:\u00a0\u00a0\u00a0\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Standardized Data Access:<\/strong> Consolidating data from diverse sources into a single platform facilitates analysis and reporting.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>ROI Measurement:<\/strong> Tracking the impact of initiatives on targeted KPIs enables evaluation of their effectiveness.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Data-Driven Decision Making:<\/strong> Leveraging insights from data to optimize processes, reduce costs, and improve quality.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Performance Benchmarking:<\/strong> Comparing performance against industry standards or internal targets drives continuous improvement.\u00a0\u00a0\u00a0\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Eficiencia operativa:<\/strong> Identifying bottlenecks, optimizing production schedules, and reducing downtime.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>What kind of data manufacturers use to analyse production?<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Effective data analytics relies on a robust data foundation. Manufacturers collect data from various sources, including:\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Production Equipment:<\/strong> Machine performance, downtime, and maintenance records.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Utilities:<\/strong> Energy consumption, water usage, and waste disposal data.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Control de calidad:<\/strong> Defect rates, rework, and material rejection information.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Cost Management:<\/strong> Financial data, labor costs, and material prices.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Human Resources:<\/strong> Employee attendance, overtime, and skill sets.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Both aggregated data (summaries, KPIs) and granular historical data are essential for comprehensive analysis.\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>What kind of data compilations do manufacturers do and what statistical methods do producers use?<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">To uncover valuable insights, manufacturers employ a range of data analysis techniques:\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Correlational Analysis:<\/strong> Identifying relationships between different variables to understand their impact.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Hypothesis Testing:<\/strong> Verifying assumptions about data patterns to support decision-making.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Big Data and AI:<\/strong> Leveraging advanced technologies for complex data analysis and predictive modeling.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Experimental Analysis:<\/strong> Using data to test new ideas and strategies.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">While simple correlations often serve as a starting point, the industry is increasingly adopting sophisticated statistical methods and AI-driven approaches.\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>What is the outcome of manufacturing data analysis?<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">The outcomes of manufacturing data analytics are far-reaching and can significantly impact business performance. Key benefits include:\u00a0<\/p>\n<p>\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Improved Operational Efficiency: <\/strong>Identifying bottlenecks, optimizing production schedules, and reducing downtime.\u00a0<\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Ejemplo:<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\"> A manufacturing plant analyzes machine downtime data to identify recurring issues, leading to targeted maintenance interventions that reduce equipment failures by 20%.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Enhanced Product Quality: <\/strong>Detecting quality issues early in the process and implementing corrective actions.\u00a0<\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Ejemplo:<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\"> A quality control department uses data analytics to identify patterns in defect rates, leading to process adjustments that reduce defects by 30%.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Optimized Resource Utilization:<\/strong> Allocating resources effectively based on data-driven insights.\u00a0<\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Ejemplo:<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\"> Analyzing energy consumption patterns helps a manufacturing plant identify opportunities for energy efficiency, resulting in a 10% reduction in energy costs.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Reducci\u00f3n de costes:<\/strong> Identifying cost-saving opportunities through process optimization and waste reduction.\u00a0<\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Ejemplo:<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\"> Identifying and eliminating waste through data analysis leads to a 5% reduction in production costs.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Risk Mitigation: <\/strong>Predicting potential issues and taking proactive measures.\u00a0<\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Ejemplo:<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\"> Analyzing supply chain data helps a company identify potential disruptions and develop contingency plans, reducing supply chain risks.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>I<\/strong><strong>nnovation:<\/strong> Using data to develop new products and processes.\u00a0<\/li>\n<li><strong style=\"background-color: transparent; text-align: var(--text-align);\">Ejemplo:<\/strong><span style=\"background-color: transparent; text-align: var(--text-align);\"> Analyzing customer data helps a company identify new product opportunities, leading to the development of successful new product lines.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">By harnessing the power of data analytics, manufacturers can gain a competitive edge and drive sustainable growth.\u00a0<\/p>\n<p><\/p>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-82f2808 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"82f2808\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1653815\" data-id=\"1653815\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f7e9cac elementor-widget elementor-widget-heading\" data-id=\"f7e9cac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">M\u00e1s informaci\u00f3n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8dc8c9 elementor-grid-3 elementor-grid-tablet-2 elementor-grid-mobile-1 elementor-posts--thumbnail-top elementor-card-shadow-yes elementor-posts__hover-gradient elementor-widget elementor-widget-posts\" data-id=\"a8dc8c9\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;cards_columns&quot;:&quot;3&quot;,&quot;cards_columns_tablet&quot;:&quot;2&quot;,&quot;cards_columns_mobile&quot;:&quot;1&quot;,&quot;cards_row_gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:35,&quot;sizes&quot;:[]},&quot;cards_row_gap_laptop&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;cards_row_gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;cards_row_gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"posts.cards\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-posts-container elementor-posts elementor-posts--skin-cards elementor-grid\" role=\"list\">\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-20874 post type-post status-publish format-standard has-post-thumbnail hentry category-blog tag-industry40\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-1024x576.jpg\" class=\"attachment-large size-large wp-image-29653\" alt=\"\" srcset=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-1024x576.jpg 1024w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-450x253.jpg 450w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-768x432.jpg 768w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-1536x864.jpg 1536w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-18x10.jpg 18w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\"><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Blog<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/\" >\n\t\t\t\tAlmac\u00e9n de datos frente a lago de datos, \u00bfcu\u00e1les son las diferencias?\u00a0\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>Lagos y almacenes de datos: Piedras angulares de la fabricaci\u00f3n moderna La industria manufacturera est\u00e1 experimentando una revoluci\u00f3n de datos. Con los avances tecnol\u00f3gicos, las f\u00e1bricas est\u00e1n generando datos sin precedentes.<\/p>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-post__read-more-wrapper\">\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/\" aria-label=\"M\u00e1s informaci\u00f3n sobre Data warehouse vs data lake, what are the differences?\u00a0\" tabindex=\"-1\" >\n\t\t\tLeer M\u00e1s \"\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-20877 post type-post status-publish format-standard has-post-thumbnail hentry category-blog tag-industry40\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with-1024x576.jpg\" class=\"attachment-large size-large wp-image-29651\" alt=\"\" srcset=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with-1024x576.jpg 1024w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with-450x253.jpg 450w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with-768x432.jpg 768w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with-1536x864.jpg 1536w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with-18x10.jpg 18w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Manufacturing-Data-Analytics-\u2013-Unlocking-Insights-with.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\"><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Blog<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/\" >\n\t\t\t\tAn\u00e1lisis de datos de fabricaci\u00f3n - Descubrir informaci\u00f3n con una plataforma de datos empresarial\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>An\u00e1lisis de datos de fabricaci\u00f3n: Unlocking Insights with an Enterprise Data Platform La fabricaci\u00f3n est\u00e1 experimentando una transformaci\u00f3n digital, impulsada por las enormes cantidades de datos generados a trav\u00e9s de<\/p>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-post__read-more-wrapper\">\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/\" aria-label=\"M\u00e1s informaci\u00f3n sobre Manufacturing Data Analytics &#8211; Unlocking Insights with an Enterprise Data Platform\" tabindex=\"-1\" >\n\t\t\tLeer M\u00e1s \"\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-20878 post type-post status-publish format-standard has-post-thumbnail hentry category-blog tag-industry40\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/accevo.com\/es\/blog\/methods-of-data-integration-and-preparation-in-a-factory-setting\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-1024x576.jpg\" class=\"attachment-large size-large wp-image-29649\" alt=\"\" srcset=\"https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-1024x576.jpg 1024w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-450x253.jpg 450w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-768x432.jpg 768w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-1536x864.jpg 1536w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-18x10.jpg 18w, https:\/\/accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\"><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Blog<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/accevo.com\/es\/blog\/methods-of-data-integration-and-preparation-in-a-factory-setting\/\" >\n\t\t\t\tM\u00e9todos de integraci\u00f3n y preparaci\u00f3n de datos en una f\u00e1brica\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>Los datos son la clave En el sector de la fabricaci\u00f3n, los datos proceden de multitud de fuentes, como equipos de producci\u00f3n, sensores, sistemas ERP y control de calidad.<\/p>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-post__read-more-wrapper\">\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/accevo.com\/es\/blog\/methods-of-data-integration-and-preparation-in-a-factory-setting\/\" aria-label=\"M\u00e1s informaci\u00f3n sobre Methods of Data Integration and Preparation in a Factory Setting\" tabindex=\"-1\" >\n\t\t\tLeer M\u00e1s \"\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Manufacturing Data Analytics: Unlocking Insights with an Enterprise Data Platform\u00a0 Manufacturing is undergoing a digital transformation, fueled by the vast amounts of data generated across the production process through systems like EMS, MES, ERP, or other data sources. To harness the full potential of this data, organizations are increasingly adopting Enterprise Data Platforms (EDPs). By [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":29651,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wpai_generated_summary":"","footnotes":""},"categories":[30],"tags":[62],"class_list":["post-20877","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-industry40"],"_links":{"self":[{"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/posts\/20877","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/comments?post=20877"}],"version-history":[{"count":0,"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/posts\/20877\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/media\/29651"}],"wp:attachment":[{"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/media?parent=20877"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/categories?post=20877"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/accevo.com\/es\/wp-json\/wp\/v2\/tags?post=20877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}