Stages of data lifecyce Data is a valuable asset that goes through various stages. Understanding each phase ensures better data management, security, and compliance. Here’s your quick guide! 👇 1 . Data Creation/Collection Data is generated from various sources like user interactions, IoT devices, social media, etc. Key Point: Ensure hashtag#accuracy and hashtag#relevance to avoid “garbage in, garbage out.” 📊 2 . Data Storage Data is stored in hashtag#cloud, hashtag#on-premises , or hashtag#hybrid environments. Key Point: Prioritize hashtag#security (encryption, backups) and ensure hashtag#compliance with regulations. 🛡 3. Data Usage Data is processed and analyzed to extract valuable insights. Key Point : Implement hashtag#rolebasedaccess and enforce hashtag#governancepolicies for secure use. 🔍 4 . Data Archiving Move less-used data to hashtag#lowcoststorage solutions. Key Point: Keep data hashtag#secure while optimizing hashtag#storagecosts. 💾 5 . Data Destruction Securely delete data when it’s no longer needed. Key Point: Ensure hashtag#compliance and prevent recovery by using hashtag#securedeletionmethods. 🗑 🔥 Properly managing the hashtag#DataLifecycle not only ensures compliance but also improves hashtag#security, hashtag#efficiency, and hashtag#cost management . #DataLifecycle #DataManagement #DataSecurity #DataGovernance #DataStorage #DataCompliance #TechTips #DataProtection #DataPrivacy #InfoSec #infosectrain #learntorise