{"id":493265,"date":"2024-12-04T09:49:36","date_gmt":"2024-12-04T08:49:36","guid":{"rendered":"https:\/\/www.devoteam.com\/success-story\/gremi-media-accelerates-digital-transformation-by-unlocking-the-full-potential-of-data\/"},"modified":"2025-04-11T12:56:07","modified_gmt":"2025-04-11T10:56:07","slug":"gremi-media-accelerates-digital-transformation-by-unlocking-the-full-potential-of-data","status":"publish","type":"success-story","link":"https:\/\/devoteam.info\/sk\/success-story\/gremi-media-accelerates-digital-transformation-by-unlocking-the-full-potential-of-data\/","title":{"rendered":"Gremi Media Accelerates Digital Transformation by Unlocking the Full Potential of Data"},"content":{"rendered":"\n
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Gremi Media<\/a><\/strong> is a multifaceted media service provider, operating across press publications (Rzeczpospolita<\/em>, Parkiet<\/em>, Uwa\u017cam Rze Historia<\/em>, Wie\u015bci Rolnicze<\/em>), online platforms (RP.pl, Parkiet.com, Historia.uwazamrze.pl, wiescirolnicze.pl), eKiosk, conferences and training sessions, legal services (Kancelarie RP), and conference organization (MM Conferences). You offer articles on economic-legal, historical, agricultural, and investment topics in various formats\u2014print, digital, and online\u2014to unique audiences like experts, investors, agricultural professionals, and enthusiasts of history and current events. Managing such a vast array of information requires efficient, technologically advanced, highly accessible, and user-friendly solutions for data management and analysis.<\/p>\n\n\n\n

Project Goal<\/strong><\/p>\n\n\n\n

In light of technological changes with Google Analytics, you decided to enhance the security of your archival data and optimize current data processing methods. Special attention was given to implementing a modern data warehouse while reducing operational costs. Partnering with Devoteam, you aimed to build a strong foundation for future initiatives involving machine learning projects and advanced analytics accessible to a broad range of users.<\/p>\n\n\n\n

The Solution<\/strong><\/p>\n\n\n\n

You connected your Google Analytics 4 data directly to Google Cloud’s BigQuery<\/strong> for real-time data streaming, while historical data from Universal Analytics was processed using Cloud Composer<\/strong>. By applying effective data modeling, you optimized resource usage within BigQuery. The final stage involved creating initial reports to serve as a foundation for further data exploration.<\/p>\n\n\n\n

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These tools have enabled you to precisely analyze traffic on your websites, providing valuable insights into visit sources, navigation paths, and user engagement. With this knowledge, you can conduct more accurate analyses of user actions, understand their behaviors, and tailor your services to better meet their needs. The flexible architecture allows you to manipulate data and analyze it at any level of detail, uncovering hidden patterns and trends.<\/p>\n\n\n\n

By implementing this solution, you’ve expanded your capabilities to process both current and archival data effectively. This allows you to study long-term trends and draw conclusions based on historical data using a single platform. Comparing data from the warehouse with information from other systems within your organization provides a holistic view, giving you a comprehensive picture of changes in information channels and user-generated data.<\/p>\n\n\n\n

Improvements at a Glance<\/strong><\/p>\n\n\n\n