PH Deck

Users face challenges when transferring data between mobile devices

Drawbacks: Users may struggle with slow and inefficient data transfer processes, leading to frustration and potential data loss.

Users face the challenge of securely deleting their data from iOS devices before selling or giving away their devices.

Drawbacks: Risk of personal data exposure, potential misuse of sensitive information, and privacy breaches.

Users are at risk of data theft, leaks, and unauthorized access with the current solution.

Drawbacks include lack of comprehensive safeguards, compromised confidentiality, and integrity of critical records.

Users struggle to showcase their app or product across different devices in a visually appealing way

The old solution involves manually adding device frames or bezels to screenshots or videos, which is time-consuming and requires design skills

Users need to securely erase sensitive data but traditional deletion methods leave data recoverable, risking breaches and compliance issues.

Data professionals manually decipher corporate data jargon and unclear terms during meetings and documentation, leading to a time-consuming and error-prone process that causes miscommunication and frustration.

Businesses struggle to efficiently gather and analyze their marketing data due to the complexities of data aggregation and integration. The process is often manual, time-consuming, and requires coding skills, leading to delays and potential inaccuracies in data analysis.

Users experience data loss or corruption on their Windows devices like hard drives, SSDs, USB drives, and memory cards. The old solution is relying on standard data maintenance and backup practices, which can often fail. The drawbacks are that traditional retrieval methods are not sufficient when devices experience severe data corruption or mechanical failure, leaving users unable to recover critical data efficiently.

Users struggle to collect, access, and leverage global datasets and ABM insights effectively for business growth.

Users need to extract structured data from various sources but rely on traditional web scraping limited to websites, which cannot capture data from desktop apps, mobile apps, or games and may lack accuracy.