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IBM Engineering Lifecycle Optimization – Engineering Insights
Try Engineering Lifecycle Manager and see the one view of your project as we unlock your data to make better decisions
What can IBM Engineering Lifecycle Optimization – Engineering Insights do for your company?
IBM Engineering Lifecycle Optimization – Engineering Insights helps you visualize, analyze and gain insight from engineering lifecycle data. Engineering teams can improve their understanding of relationships in lifecycle data and make more effective and timely decisions. Rational Engineering Lifecycle Manager unlocks your engineering data from various lifecycle tools and helps your organization maintain and demonstrate compliance with regulatory and industry standards.
Improve engineering agility
Reduce the time spent finding, querying, and analyzing engineering data and its relationships.
Increase innovation
Focus on new ideas and improvements instead of trying to find information and report progress.
Demonstrate compliance
Access views of cross-tool and cross-domain data in the context of compliance standards.
Accelerate time to value
Use the cloud to get up and running faster and focus on technological innovation.
Make the right decisions
Gather meaningful data with dashboards and analytics to help you respond rapidly to both positive and negative indicators in your projects.
Product overview
Features of IBM Engineering Lifecycle Optimization
An integrated solution to build smart, connected products
IBM Engineering is a group of five IBM products that cover the systems and software development lifecycle. These products help teams manage the complexity of developing smart, connected products. With built-in, customizable process support, this solution helps systems engineers and software developers meet requirements, respond efficiently to change and create high-quality designs faster—while controlling development costs and meeting compliance needs.
View relevant, related data
View and search data from different tool sources, show relevant relationships in simple-to-understand formats and access views of cross-tool and cross-domain data.
Manage complexity
See the context for queries to make informed decisions during the software and systems development process.
Analyze and organize data
See functional, procedural or structural relationships. Extract and analyze information from vast amounts of data.
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