Analyzing the current state of your client’s application portfolio is generally the first step of a cloud transformation initiative. Indeed, having a good overview of the “as is” IT landscape of your client is a prerequisite to make informed, relevant migration decisions.
But the discovery of a large application landscape comes with an important data collection effort. The data may come from multiple sources and stakeholders, either via external connected data sources (file uploads, third party tool integrations etc.), user surveys within Txture or manual entries. Hence, it is critical that the data sources remain traceable to ensure data quality.
As part of Txture release 33, we added new reports that help you to understand which surveys, importers or persons contributed data about application. These reports also help you track down missing, mismatched or outdated information.
The chart below is a new standard report in the Transformation Cockpit. It shows the overall distribution of information sources, next to the amount of collected assets per type. This provides insights into e.g. how much of the data was collected via automated data sources or to reach out again to original contributors for added questions and quality assurance.This report shows that 36 assets asset where collected for an application and most data was contributed by a single person: Max Master.
Information that comes from linked data sources is usually the most up-to-date and e.g. in cases of CMDBs or discovery solutions can be very reliable, provided the importer is configured correctly and running successfully.
To provide better support for tracking the status of an importer, Txture now sends email notifications on importer completion, if an importer is run for the first time. In addition, the list of configured importers can now be sorted by the date of last execution, making it faster to find and review recent executions.A list of importers sorted by their last execution date.
These enhancements are primarily intended to bring more insights and confidence into the data collection process. As a project manager it helps you continuously check the quality and completeness of data and allows you to plan your next steps. This way you ensure that later all migration decisions are based on accurate information, hence minimizing risks and bringing consistent quality to your cloud transformation projects.
Feel free to request a free demo or contact us for more information