Ping32 aggregates extensive employee digital activity data into visualized reports and leverages intelligent analytics to assess workforce productivity with precision.

Overview

Ping32 records comprehensive user behavior and data on computer operations. By applying advanced machine learning technologies, it generates detailed analytical reports that enable accurate evaluation of work efficiency—helping enterprises gain insights into employees’ daily productivity and work patterns.

Productivity

Ping32 collects and analyzes employees’ computer usage data to evaluate work efficiency. Through behavioral analytics, it enables organizations to accurately understand each employee’s work habits and productivity levels, helping identify bottlenecks, optimize workflows, and improve overall organizational performance.

Productivity metrics include productive time, productivity score, and software usage rankings. The system intelligently analyzes computer usage time and automatically categorizes it into productive and unproductive periods based on user behavior.

• Popular Applications:
  Administrators can view all software applications across endpoints along with detailed information. Custom tags can be defined for each application, enabling smarter data visualization. Evaluation rules for specific applications can also be manually adjusted to refine productivity assessments.
• Activity Analysis:
  Ping32 classifies and measures application usage time by software category, providing insights into overall activity levels and performance ratings from a software-type perspective.
• Working Hours:
  Displays each endpoint’s work-related, non-work, and idle time. These insights allow enterprises to quickly identify high-performing employees for recognition or support, as well as low-performing ones for targeted training or performance management.

Report Center

The Report Center provides comprehensive and customizable reporting capabilities. It compiles endpoint data into structured reports that can be exported for further analysis—enabling management to clearly understand employee work status and network usage for improved oversight.

• Activity Time Reports:
  Track each employee’s terminal activity, including lock screen durations, idle times, and non-work-related activities. By analyzing these metrics, organizations can assess individual work efficiency.
• Website Browsing Reports:
  Analyze website visits by frequency and duration. Administrators can view how often specific domains were accessed by individual or all terminals over a given period. These insights help uncover root causes of productivity issues through behavioral web analysis.
• Traffic Statistics Reports:
  Monitor network traffic across all endpoints within specified timeframes, including upload, download, total, and historical data. Bar chart visualizations and sorting options support efficient resource planning.
• Instant Messaging Reports:
  Quantify message sending and receiving activities across all endpoints. These metrics offer a clear view of employees’ chat behavior during work hours, assisting in evaluating productivity.
• Software Usage Reports:
  Provide multi-granularity tracking of software utilization, including process activity logs and window activity records. Process logs record start and end times of specific processes, while window activity logs reflect actual application usage.
• File Transfer Reports:
  Track outbound file transfers via USB drives, email, chat, browsers, and cloud storage. These insights enable administrators to identify and mitigate potential data leakage risks.
• Offline Statistics Reports:
  Record online and offline times of endpoints to detect irregularities or inefficiencies, allowing timely corrective actions.
• Printing Reports:
  Monitor printing activities across all endpoints, including IP addresses, page counts, and print frequencies. These reports help detect abnormal printing behaviors and safeguard sensitive information.
• Ticket Statistics Reports:
  Summarize the status of service tickets—pending, in progress, awaiting verification, or resolved. This allows managers to track IT operations performance, identify common issue types, and implement preventive measures to enhance efficiency.