DTEX PULSE by DTEX Systems is a Workforce Cyber Engagement solution that provides visibility into employee engagement and operational efficiency. It allows teams to monitor engagement baselines and behavior patterns in real time, identifying trends and deviations. PULSE consolidates User Activity Monitoring, Internal Forensics, and User Behavior Analytics tools. It provides historical analysis, calculates ‘Pulse Rate’ and Trend Benchmark reports, and offers an overview of workforce engagement and organizational efficiency. PULSE is a cloud-native solution that collects only 3 – 5MB of data per user daily with low CPU usage and no impact on productivity or performance. It enables monitoring of the entire workforce by region, department, and role, regardless of location. PULSE accurately distinguishes between normal and unusual trends, allowing focus on areas that need analysis. It provides operational-specific information in real time through user-friendly dashboards designed for decision-making. PULSE helps quantify the impact of employees and teams working remotely by analyzing applications and device usage, access to data, and web-browsing/emailing on or off the corporate VPN. It provides a centralized source for actual software usage by employees, enabling better decisions on future software requirements and reducing costs from unnecessary licenses. PULSE analyzes usage and device data to discover rogue applications, allowing managers to view all application/device/cloud use, both authorized and unauthorized, for appropriate action. It analyzes application and device trends across VIPs, executives, and top producers to enable proactive employee health and security assessments. PULSE supports digital transformation and human capital management by allowing IT, HR, and finance teams to non-intrusively measure employee engagement with organizational assets and identify opportunities for cost, performance, and operational efficiencies. It anonymizes employee interactions with organizational assets, aggregating these interactions, and analyzing them to understand engagement levels without compromising privacy. PULSE uses patented pseudonymization technology and data minimization techniques to maintain employee privacy, while behavioral machine-learning models assist HR, IT, finance, and cybersecurity teams in improving daily experiences and outcomes.
