AI-powered Live Impact Analysis
AI-powered Live Impact Analysis provides real-time insights of a bank’s existing and ‘to be’ application environments, to ensure they are aligned when making changes.
It can quickly and automatically provide essential information for your applications to speed up your upgrades and patches, predicting the impact of new product versions on the user before release. Manually scrutinizing the environment to understand its configuration, performance, custom code and data, would have otherwise taken months.
It enables users to easily and automatically analyze the impact of change on quality, performance, resources capacity and costs in hours, not days, with the ability to automatically apply the recommended changes through a corrective action plan.
It will discover all the changes from the development environment and will identify the most-at-risk areas that you need to test, reducing the test scope by up to 85%. You maximise the test coverage by 100% with just 20% of the effort. By identifying what has been impacted, you are able to test only what is needed without compromising the quality. This accounts for reduced cycle times, reduced resource requirements per cycle and reduced maintenance of test packs.
It can quickly and automatically provide essential information for your applications to speed up your upgrades and patches, predicting the impact of new product versions on the user before release. Manually scrutinizing the environment to understand its configuration, performance, custom code and data, would have otherwise taken months.
It enables users to easily and automatically analyze the impact of change on quality, performance, resources capacity and costs in hours, not days, with the ability to automatically apply the recommended changes through a corrective action plan.
It will discover all the changes from the development environment and will identify the most-at-risk areas that you need to test, reducing the test scope by up to 85%. You maximise the test coverage by 100% with just 20% of the effort. By identifying what has been impacted, you are able to test only what is needed without compromising the quality. This accounts for reduced cycle times, reduced resource requirements per cycle and reduced maintenance of test packs.
Reduce the test
score by
score by
85%
Maximise the test
coverage by
coverage by
100%
Effort only
up to
up to
20%
Capacity Planner powered by AI and machine learning
Capacity Planner is able to forecast the impact of an increase in business demand on key applications and determine the resources required to support the change.
This means that your overall project plan is improved and the overall project efficiency is increased as it ensures that you have the people you need when you need them, and that you don’t have valuable resources just sitting on the bench.
This means that your overall project plan is improved and the overall project efficiency is increased as it ensures that you have the people you need when you need them, and that you don’t have valuable resources just sitting on the bench.
Benefits
Optimise the risks associated with development changes
Reduced testing costs and resources by automatically identifying the highest-risk areas without the need to test everything.
85%
reduction in testing effort
40%
faster releases
75%
less defects in production
Copyright © 2018 Validata Group
powered by pxlblast