{"id":1473,"date":"2025-05-22T16:32:57","date_gmt":"2025-05-22T16:32:57","guid":{"rendered":"https:\/\/linko.xyz\/?p=1473"},"modified":"2025-05-22T16:39:15","modified_gmt":"2025-05-22T16:39:15","slug":"turning-data-into-decisions","status":"publish","type":"post","link":"https:\/\/linko.ai\/en\/turning-data-into-decisions\/","title":{"rendered":"Turning Data into Decisions: The New Gold in Business Strategy"},"content":{"rendered":"\n

Organizations are generating more data than ever before\u2014but turning data into decisions remains a challenge. How can all that information truly transform the business?<\/em><\/p>\n\n\n\n

Despite having access to advanced technologies and analytical tools, many companies continue to operate under a paradox: too much data, too little clarity.<\/p>\n\n\n\n

According to IDC<\/a>, over 175 zettabytes of data will be created globally by 2025. However, more than 70% of that data will never be analyzed or used. This value drain doesn\u2019t stem from a lack of data, but from structural, technological, and cultural barriers that prevent organizations from extracting what really matters: actionable insights.<\/p>\n\n\n\n

Barriers That Block You from Turning Data into Decisions<\/strong><\/h3>\n\n\n\n

In our experience, here are some of the most common challenges companies face when trying to unlock value from their data<\/a>:<\/p>\n\n\n\n

Data silos:<\/strong>
<\/strong>Information is often scattered across departments, systems, and formats. The lack of integration makes it nearly impossible to get a unified view of the business.<\/p>\n\n\n\n

Poor data quality:<\/strong>
<\/strong>Incomplete, duplicated, outdated, or unstructured data leads to unreliable analyses and flawed decisions. The old principle of \u201cgarbage in, garbage out\u201d still applies.<\/p>\n\n\n\n

Lack of data governance:<\/strong>
<\/strong>Without a clear data governance strategy, decisions about who can access, store, and use data are often improvised or reactive\u2014raising operational and regulatory risks.<\/p>\n\n\n\n

Weak analytics culture:<\/strong>
<\/strong>Even with modern dashboards, many key decisions are still made based on intuition or past experience\u2014underutilizing the data that\u2019s already available.<\/p>\n\n\n\n

The business\u2013tech gap:<\/strong>
<\/strong>Technical teams may build advanced models, but without a strong connection to strategic business questions, those models rarely lead to action.<\/p>\n\n\n\n

Turning Data into Decisions: What Needs to Change First?<\/strong><\/h3>\n\n\n\n

Overcoming these challenges requires more than just new tools\u2014it demands a deep transformation. Leading data-driven organizations know it\u2019s not just about analytics capabilities, but also about strong frameworks and new decision-making habits.<\/p>\n\n\n\n

Based on our observations, David Armando L\u00f3pez, Director of AI, Data, and Cloud at Linko, highlights five pillars that enable enterprise data strategies to succeed:<\/p>\n\n\n\n