Unlock Digital Growth Potential: Leveraging Cookiebot's Data-Driven Tools
Unlock Digital Growth Potential: Leveraging Cookiebot’s Data-Driven Tools
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How to Recover Deleted Data from iPhone using Stellar Data Recovery for iPhone?
Date published27 Aug 2015
Views47406
Stellar Data Recovery for iPhone is an ideal tool for efficiently recovering deleted data from iPhone devices. This software can recover photos, videos, messages, call history, calendar, notes, etc. The tool uses an advanced algorithm, which scans through the memory and recovers data from any cases of data loss. In addition, this iPhone data recovery software also uses a very simple and easy-to-use graphical user interface, making the entire process very easy to perform. Therefore, you can follow the below-mentioned steps to recover deleted photos and contacts from an iPhone device using Stellar Data Recovery for iPhone.
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Note: Run the latest version of iTunes services before launching the software.
1. Connect your iPhone to a computer via USB cable for recovery from iPhone. Once you launch the software, you have three options to choose from. Recover from iPhone, Recover from iTunes backup and Recover from iCloud backup.
2. Once Computer detects your iPhone, select ‘Recover from iPhone’, choose what you want to recover, and click “next”. It will show you the iOS devices connected to your system. Next, select your device and click “scan.”
3. After scanning the device, you will see details of all the recoverable items listed in the left-hand side panel.
4. Now select and preview the required items by clicking the corresponding checkbox in front of each item.
5. Click on ‘Save’ option to save the recovered items either on the Computer or iPhone depending on chosen location
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- Title: Unlock Digital Growth Potential: Leveraging Cookiebot's Data-Driven Tools
- Author: Steven
- Created at : 2024-11-11 19:06:54
- Updated at : 2024-11-14 23:10:59
- Link: https://data-safeguard.techidaily.com/unlock-digital-growth-potential-leveraging-cookiebots-data-driven-tools/
- License: This work is licensed under CC BY-NC-SA 4.0.