{"id":2652,"date":"2026-05-13T11:02:59","date_gmt":"2026-05-13T09:02:59","guid":{"rendered":"https:\/\/bidatia.com\/?p=2652"},"modified":"2026-05-19T11:06:35","modified_gmt":"2026-05-19T09:06:35","slug":"observabilidad-del-dato","status":"publish","type":"post","link":"https:\/\/bidatia.com\/en\/observabilidad-del-dato\/","title":{"rendered":"The secret of companies that don't waste time reviewing data: the observability revolution\u00a0"},"content":{"rendered":"

Can you imagine if in your factory products came out defective and you only found out when the end customer called you angrily to complain? That would be crazy, right? Well, that's what happens when there isn't a good Data observability<\/strong> at a company.<\/p>\n\n\n\n

Until now, the traditional way to review information involved crossing your fingers, having a human manually review Excel spreadsheets, or creating static codes that flagged missing data. But today, with the sheer volume of information any business handles, that system has become obsolete. It acts as a bottleneck that only detects errors after they've already corrupted your business reports and led to bad decisions.\u00a0<\/p>\n\n\n\n

To solve this chaos and ensure the operational reliability of your company, a new concept has been born: the Data observability<\/strong>. <\/p>\n\n\n\n

\"Estrategia<\/figure>\n\n\n\n

What is data observability and why do you need it?<\/strong> <\/h2>\n\n\n\n

Forget complex technical jargon. The Data observability<\/strong> It's not about taking a snapshot of your folders at the end of the month to see if they're okay. It's about installing an \u00abimmune system\u00bb or a real-time surveillance camera that continuously monitors the health of all your company's information. <\/p>\n\n\n\n

So that you understand it simply, AI helps your company with three key tasks that used to take weeks and completely transform your data management<\/strong><\/a>, automatically monitoring these 5 pillars: <\/p>\n\n\n\n

    \n
  1. Freshness:<\/strong>\u00a0It ensures that tables and invoices are updated on time. If there's a delay, it alerts you before your team makes decisions with outdated data.\u00a0<\/li>\n<\/ol>\n\n\n\n
      \n
    1. Volume:<\/strong>\u00a0The system learns how much you usually sell or earn. If suddenly one day zero records come in or they are massively duplicated, an alert is triggered.\u00a0<\/li>\n<\/ol>\n\n\n\n
        \n
      1. Structure<\/strong>\u00a0Detects if someone has changed a column, deleted an important row, or altered a format, predicting which reports will break before the disaster strikes.\u00a0<\/li>\n<\/ol>\n\n\n\n
          \n
        1. Quality:<\/strong>\u00a0Analyze statistical consistency (no accidental blank spaces, out-of-range numbers, or nonsensical text).\u00a0<\/li>\n\n\n\n
        2. Data Map (Lineage):<\/strong>\u00a0Draw the exact path that information takes from when it enters your system until it reaches the final report. This way, if something fails, you know exactly where the breakdown is.\u00a0<\/li>\n<\/ol>\n\n\n\n

          A solution for every type of business<\/strong>\u00a0<\/h2>\n\n\n\n

          If you want to delve deeper into how these platforms use Artificial Intelligence to automate information cleaning, we recommend reading our previous article on Data Quality Tools and Artificial Intelligence<\/a><\/strong>.<\/p>\n\n\n\n

          At the software level, the market has been divided into three main options depending on your business needs: <\/p>\n\n\n\n