About LDI

About LDI

Lenovo Device Intelligence (LDI) is an enhanced predictive and proactive SaaS tool for the smarter PC fleet management. Lenovo Device Intelligence Plus gives enterprise IT Administrators advanced predictive insights to help pinpoint hardware and systemic issues before they occur.
Delivering in-depth device and business insights, the LDI solution is an AI-powered SaaS PC health management tool. The solution identifies critical issues across the fleet, both current and potential, monitors for hardware failures, Blues Screen of Death (BSODs), and system and software applications causing performance degradation. For the organization requiring smarter insights into PC health, LDI features a deeper level of analytics such as persona analysis, digital user experience scoring, asset optimization, productivity impact assessments, root cause analysis, sector benchmark comparisons, remediate issues, and more. This enables customers to monitor, analyse, predict, prevent, and optimize their IT environments for better business outcomes.

Use cases

LDI software through its predictive analytics of device functioning and issue detection capability helps the organization to: 
  1. Reduce support calls 
  2. Reduce breakdowns and increase device uptime and productivity 
  3. Improve customer experience
An IT Manager, Analyst, or Administrator can use this tool to predict, detect, and resolve issues before they negatively impact employees’ productivity. 
Features and tools are available to address use cases in LDI. For more details, refer to LDI Test Drive.

Features and Licenses

LDI enables you to proactively support the system users through AI and ML techniques to predict the failures that might occur in users’ devices. 
Besides, you can monitor device performance in real-time, detect, and report the issues when they occur. 
LDI also provides: 
  1. Options to execute issue fixes 
  2. Root cause and correlation analysis capabilities 
  3. Application comparative and trend analytics 
  4. Assessment of IT’s impact on employee productivity 
  5. Digital UX scoring to quantify end-user experience with their IT resources 
  6. External and internal data benchmarking 
  7. Employee workstyle personas mapped to IT resources 
  8. Asset optimization analytics to help size hardware and software investments 

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