Data Analytics is the process of collecting, processing, and analyzing data to gain valuable insights, identify trends, and support decision-making. It involves the use of statistical methods and specialized software to explore, mine, and understand the collected data.

1. ID Verification

Identity Verification Analytics is the process of analyzing identity verification data to confirm the authenticity of an individual's identity for various purposes, such as security checks, account access, or regulatory compliance.

2. Phone Information

Phone Information Analytics involves the collection and analysis of data from mobile devices. It helps uncover insights about mobile usage, performance, and user behavior to make data-driven decisions.

3. Social Media Detection

Social Media Detection Analytics is the process of collecting and analyzing data from social media platforms to understand user behavior, trends, or important information.

4. P2P Submission Detection

Peer-to-Peer Application Detection Analytics involves monitoring and analyzing peer-to-peer (P2P) file sharing activities to identify and manage potential risks or policy violations.

5. Blacklist

Blacklist Analytics is the process of analyzing a list of blocked or prohibited entities, such as individuals, websites, or IP addresses, to identify potential security threats or policy violations.

6. E-Commerce Detection

E-commerce Detection Analytics involves monitoring and analyzing activities on e-commerce platforms to detect patterns, trends, and anomalies, often for purposes such as fraud prevention or enhancing the user experience.