A comprehensive data processing and cookie consent policy has been implemented for the NAS Architecture elementary school project website, outlining how user information and personal data are collected and utilized. The policy details the website's use of cookies and similar technologies to process end-device information and personal data, including IP addresses and browser information, for various operational and analytical purposes.
The data processing serves multiple functions, including the integration of third-party content, external services, and elements from outside providers. Statistical analysis and measurement capabilities are incorporated to track website performance and user engagement patterns. The system also supports personalized advertising features and enables integration with social media platforms to enhance user experience and connectivity.
Depending on the specific function being utilized, user data may be shared with up to 18 third-party organizations for processing purposes. However, the website emphasizes that user consent for this data processing is entirely voluntary and not required for basic website functionality. Users retain full control over their consent and can revoke permission at any time using a dedicated icon located in the bottom left corner of the website interface.
The technical implementation involves storing and accessing information on user devices through cookies, device identifiers, and similar online tracking mechanisms. These may include login-based identifiers, randomly assigned identifiers, and network-based identifiers, which work in conjunction with additional information such as browser type, language preferences, screen size, and supported technologies. This comprehensive data collection allows the system to recognize devices each time they connect to the application or website.
Content performance measurement represents a key component of the data processing strategy, enabling the analysis of how users interact with presented materials. The system tracks whether non-advertising content successfully reaches its intended audience and aligns with user interests by monitoring various engagement metrics. This includes detailed analysis of user behavior such as article reading patterns, video viewing duration, podcast listening habits, and product description interactions, along with overall time spent on the service and web page navigation patterns.
The policy also addresses audience understanding through statistical analysis and data combination from multiple sources. Comprehensive reports are generated by combining various data sets, including user profiles, general statistics, market research findings, and analytics data. This approach enables the identification of common characteristics among users and their interactions with both advertising and non-advertising content, ultimately helping determine which target audiences are most receptive to specific ad campaigns or particular types of content.
