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case study

Customised report development for Azure DevOps

Achieving high quality reporting standards in legal organisations

Background

Expleo engaged with a global legal organisation in support of a strategic migration of its test management tooling to Microsoft Azure DevOps (ADO). During the migration process the client identified specific custom reports critical to the SDLC which were not covered by ADO’s extensive default reporting capabilities. Expleo’s Data Analytics Engineers were engaged to find a solution to the customised reporting.

Challenges

This reporting need presented two key issues to the client:

  • Client specific reporting requirements meant reduced visibility of test results to management teams
  • Senior management teams were missing key Management Information (MI) vital to their software delivery process

We are a dedicated team of specialist software professionals, with considerable experience of different clients, industries and technologies. The team provide bespoke, flexible and cost-effective services to enable clients to digitally transform at pace.

Solution

The Expleo Analytics team worked closely with quality assurance and software delivery teams to identify specific reporting requirements critical to the client’s success. Building upon Expleo’s recommended blueprint for test and defect metrics, a customised Expleo Quality Analytics report was developed which sourced data directly from Azure DevOps via it’s ODATA API. This custom report enabled aggregation of the mission critical test and defect data across the all of the client software products accessible through Expleo’s value adding Quality Intelligence Portal (QIP).

If you have experienced any of the challenges discussed or would like to know more information about our digital assurance and technology support services please contact ondemandtesting@expleogroup.com.

Client benefits

Client benefits by using customised reports development

DIGITAL TRANSFORMATION

Big Data Analytics AI & Advanced Algorithms

Expleo builds modern data analytics strategies by deploying machine learning and advanced algorithms. This empowers us to create complex predictive and governing models, both in the industry and services environments.