IBM Z® analytic software helps in uncovering insights and obtaining trusted, actionable results swiftly, without needing data movement. Apply AI and machine learning to your enterprise's most valuable data on IBM Z and use open-source frameworks and tools.

Data insights products

• **IBM Z IntelliMagic Vision for z/OS: **Advanced analytics software for real-time performance insights, helping to proactively identify and resolve bottlenecks in z/OS environments. With predictive analytics, it enhances operational efficiency and optimizes resource utilization across mainframe systems.
• **IBM Application Discovery and Delivery Intelligence: **An analysis tool that helps visualize applications, data and jobs on z/OS®. It enables architects and developers to discover dependencies in a click, implement changes with confidence and keep documentation current and accurate. Use the capabilities of IBM Application Discovery for IBM Z and IBM Wazi Analyze to speed up your application modernization. 
• **IBM Z Anomaly Analytics: **This software provides intelligent anomaly detection to identify operational issues in your enterprise environment proactively. It uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect and alert IT operations of anomalous behavior.
• **IBM Z Decision Support: **Effectively manage the performance of your system by collecting performance data in a Db2® database and presenting the data in various formats for use in systems management.
• **IBM Z Operational Log and Data Analytics: **A single solution that helps to accelerate the mean time to identify incidents and provide a hybrid application view of your IBM Z data. It accelerates hybrid incident identification with near real-time operational analytics. To do this, near real-time IBM Z operational data is streamed to an enterprise analytics platform or the included log analysis platform, or both. The included insights help to quickly visualize and search operational data to reduce the mean time to identify the cause of operational issues.