PH Deck

Users rely on traditional data centers with high energy consumption and reliance on non-renewable energy sources, leading to increased carbon footprints and inefficiency.

Businesses struggle to fully understand and leverage their total addressable market (TAM) due to gaps and inaccuracies in their existing CRM data, which hinders efficient lead generation and market analysis.

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, especially data scientists and engineers, struggle with traditional data engineering tools that are not user-friendly and efficient for tasks like data migration, cleaning, and analysis.

E-commerce brands struggle to utilize first-party behavioral data effectively for marketing and advertising purposes, leading to lower marketing efficiency and subpar advertising results.

Users in data engineering and ETL processes face complexity and inefficiency due to the need for technical commands and operations.

Businesses often struggle with inefficient processes and slow growth due to a lack of utilization of historical data and innovative solutions. The main issues include inefficient processes and slow growth.

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.

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.

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.