How KTern.AI Predicts the Impact of SAP Releases

How does KTern.AI predict SAP release impact?

Moving developments between landscapes in SAP can feel like drowning in paperwork. Manually analyzing Transport Requests (TRs) to understand their impact on processes and objects is a time-consuming and error-prone process. This can lead to delays, rework, and even errors in the target system.

Introducing AERI, your streamlined solution for efficient SAP deployments. AERI analyzes everything, revealing a clear picture of all impacted objects and processes. It provides data-driven impact analysis and crucial process change identification to ensure risk-free go-lives. It provides insights on Test Fits and Gaps. So no more endless document chases—AERI automates the entire process in under 2 hours, all without needing any additional plugins.

AERI is equipped with five specialized bots, each designed to address distinct aspects of analysis

1. Technical Impact Simulation Bot

  1. Identifying the impact of SAP Transport Requests (TRs) on both standard and custom objects can be incredibly time-consuming and complex for your team. The effort required to pinpoint how these transports affect various technical objects often leads to delays and frustration, consuming valuable time and resources.

  2. To streamline this process, the Technical Impact Bot provides a comprehensive list of all standard and custom objects and clearly highlights which ones are impacted. This significantly reduces the time spent searching for affected items.

  3. It also assigns a materiality score to each object based on business criticality and usage frequency, guiding you to prioritize higher-impact objects and allocate resources more effectively.

  4. For every impacted object, the feature pinpoints the root cause and offers a detailed explanation of the impact, enabling consultants to resolve issues swiftly.

  5. This comprehensive analysis accelerates development, ensures smoother project execution, and supports faster decision-making.



2. Process Impact Simulation Bot
  1. AERI also offers a solution for managing the impact of SAP Transport Requests on business processes. This can be challenging, especially when it comes to understanding how these transports affect end-to-end operations and identifying potential areas of concern.

  2. To address this, the Process Impact Simulation Bot identifies how changes affect SAP business processes and provides detailed insights into their impact at the process step level.

  3. It lists all processes, highlighting the impacted ones, making it easier to quickly locate areas of concern.

  4. It offers root cause analysis and a detailed description of the impact, which helps resolve issues more quickly.

  5. It Provides you with a list of affected business users and ranks them based on their usage, which streamlines the change management process.

  6. A materiality score based on business criticality and usage frequency will be set for each process, guiding you on where to start resolving issues.

  7. This approach reduces the time spent on identifying and addressing problems, ultimately enabling faster innovation cycles.




3. Test Impact Simulation Bot

  1. When managing complex testing processes, it can be challenging to track the impact of changes, ensure full test coverage, and prioritize the most critical areas. Missing key test cases or spending too much time on non-relevant ones can lead to inefficiencies and potential errors in your releases. Here’s how the Test Impact Simulation Bot can help.
  1. With potentially hundreds or thousands of test cases listed in the Digital Lab, one of KTern.AI's dedicated streams for testing, our bot systematically compares these test cases with the objects in the transport request to identify any impacted cases. Furthermore, it generates a detailed list of missed test cases, known as test gaps, that require attention.

  2. It provides the following lists:

    1. Test Fits: These are the test cases that are directly impacted by the changes and need to be updated or re-run.
    2. Test Gaps: These are the test cases that were missed or not previously considered but are crucial to ensure complete coverage.

  3. The bot ensures you have a clear view of which test cases to cover and automatically generates a list of relevant test cases to address any gaps, ensuring nothing is overlooked.

  4. The feature assigns priority scores to test cases, allowing teams to focus on the most critical areas.

  5. It precisely indicates the impact levels as high, medium, or low, based on the number of impacted cases and their business criticality, while considering both technical and process impacts.

  6. To enhance collaboration and streamline User Acceptance Testing (UAT), the bot prioritizes business users based on their interaction frequency with specific features.

  7. Additionally, it doesn't just identify issues—it offers clear explanations and root causes, making problem resolution faster and more straightforward, and improving the overall testing process.



4. Change Impact Simulation Bot

  1. The Change Impact Simulation Bot provides a comprehensive dashboard that visually presents key insights from its analysis. This dashboard highlights critical metrics, such as impacted business process steps, test fits, test gaps, and Impacted Business Stakeholders. Offering a clear and consolidated view of these KPIs, allows users to understand the full scope of the impact in a streamlined and efficient manner.

  2. It enhances decision-making by highlighting key focus areas, as the dashboard clearly displays the top-impacted business process steps and the stakeholders most affected by those processes.



5. Transport Analysis Simulation Bot
  1. Tracking all transports and their objects and ensuring timely reviews can be overwhelming. The Transport Analysis Simulation Bot simplifies this by automatically simulating and orchestrating your releases.

  2. It provides a clear list of all transports and their objects, showing what has been analyzed in the current run or timeframe and what remains to be reviewed, making your DevOps processes faster and more efficient.



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