{"id":3997,"date":"2024-01-31T10:41:16","date_gmt":"2024-01-31T09:41:16","guid":{"rendered":"https:\/\/todis.pl\/?post_type=aktualnosc&p=3997"},"modified":"2024-01-31T10:48:55","modified_gmt":"2024-01-31T09:48:55","slug":"data-and-analytics-in-the-industrial-revolution","status":"publish","type":"aktualnosc","link":"https:\/\/todis.pl\/en\/aktualnosc\/data-and-analytics-in-the-industrial-revolution\/","title":{"rendered":"Data and Analytics in the industrial revolution"},"content":{"rendered":"\n

The manufacturing industry, which has played a leading role in the world’s economies for a long time, is constantly developing.<\/strong> Using raw materials to create valuable products is defined by continuous innovation. Today, however, the most important resource is not something you can touch, but data.<\/p>\n\n\n\n

Data and analytics are revolutionizing the manufacturing industry. The use of advanced technology is revolutionizing the way manufacturers source raw materials, optimize work processes, and deliver products.<\/p>\n\n\n\n

The modern manufacturing industry utilizes complex systems<\/a> that generate numerous data points, enabling valuable business conclusions even without specialized IT knowledge.<\/p>\n\n\n\n

With modern ERP<\/a>, manufacturers can go beyond traditional data analysis based on a closed loop. Instead, you can use five types of analytics to create a complete cycle of understanding, predicting, and correcting results:<\/strong><\/p>\n\n\n\n

    \n
  1. Descriptive: It helps to understand why something happened.<\/li>\n\n\n\n
  2. Diagnostic: Reveals important bugs to repair.<\/li>\n\n\n\n
  3. Predictive: Shows what might happen based on historical data.<\/li>\n\n\n\n
  4. Precursive: Describes actions to be taken.<\/li>\n\n\n\n
  5. Forecasting: Estimates the timing and progress of future events in the system.<\/li>\n<\/ol>\n\n\n\n

    Data infrastructure and machine connectivity are crucial for efficient real-time data usage, fostering a culture of data-driven decision-making and innovation.<\/p>\n","protected":false},"featured_media":3996,"template":"","class_list":["post-3997","aktualnosc","type-aktualnosc","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nData and Analytics in the industrial revolution - todis.pl<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/todis.pl\/en\/aktualnosc\/data-and-analytics-in-the-industrial-revolution\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data and Analytics in the industrial revolution - todis.pl\" \/>\n<meta property=\"og:description\" content=\"The manufacturing industry, which has played a leading role in the world’s economies for a long time, is constantly developing. 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