{"id":349801,"date":"2025-11-08T13:18:59","date_gmt":"2025-11-08T12:18:59","guid":{"rendered":"https:\/\/sauldie.org\/de\/datenintelligenz-big-data-zu-smart-data-10\/"},"modified":"2026-03-14T13:19:17","modified_gmt":"2026-03-14T12:19:17","slug":"data-intelligence-big-data-to-smart-data-10","status":"publish","type":"post","link":"https:\/\/risawave.org\/en\/datenintelligenz-big-data-zu-smart-data-10\/","title":{"rendered":"Data Intelligence: How Big Data Becomes Smart Data for Decision-Makers"},"content":{"rendered":"

In today's dynamic business world, Data intelligence<\/em> is playing an increasingly important role. Companies are confronted with extensive, often confusing amounts of data, so-called big data. However, only those who manage to transform these huge amounts of data into high-quality, targeted and relevant information will benefit from the competition. This transformation of raw data into Smart Data<\/em> is the core of data intelligence. It helps decision-makers to make informed, fast, and robust decisions.<\/p>\n

Data intelligence: From data deluge to actionable insights<\/h2>\n

Companies are often overwhelmed by the sheer volume of data alone. Big data comprises unstructured and complex data from various sources - from machine sensors in industry to financial data and customer data from retail. Data intelligence starts right here: It enables useful patterns and correlations to be filtered out.<\/p>\n

For example, manufacturers can use sensor data to precisely plan maintenance cycles and thus avoid expensive breakdowns. In the financial sector, data-intelligent algorithms identify suspicious transactions at an early stage, which minimises fraud attempts. In marketing, intelligent data analyses help to target customers by better identifying potential needs and increasing customer loyalty.<\/p>\n

BEST PRACTICE at the customer (name hidden due to NDA contract)<\/b> A production company was able to significantly reduce the downtime of its machines through data-intelligent monitoring. Real-time data made it possible to carry out maintenance exactly when it was actually necessary. This not only increased efficiency but also sustainably improved product quality.<\/i><\/p>\n

How Data Intelligence Enables Smart Data<\/h2>\n

The difference between Big Data and Smart Data is crucial. Big Data describes the mass of diverse and rapidly accumulating raw data. The challenge lies in filtering, verifying, and contextualising this data. Smart Data, then, refers to data that is provided in a high-quality, relevant, and data protection-compliant manner.<\/p>\n

The creation of smart data through data intelligence follows several steps:<\/p>\n