A global courier services company that merged with a global leader in the transportation and logistics industry.
Key Challenges
The enterprise undertook programs to integrate the businesses, as part of the acquisition plan:
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Infosys addressed the challenges, impact of the merger, and stringent timelines of the project.
Cloud platform
Infosys implemented a Microsoft Azure platform solution to integrate certified data and unify data governance. Our cloud architecture enabled data on-demand service by integrating enterprise data from 61 countries. We collated region-specific data and masked it using the Delphix test data virtualization and masking tool. It helped us protect sensitive data and comply with EU GDPR norms restricting the use of production (real) data.
The unified platform manages customer, transactional, operational, and analytical data. Our integration approach ensured Business As Usual (BAU), while avoiding data duplication between parallel systems and preventing loss of information in transit.
Robust testing
We demarcated production and non-production zones in the cloud-based TDM solution. We undertook environment sanity testing to ensure functionality prior to system testing, cloud data migration testing for data retention, and data directional testing to validate BAU processes.
The Infosys team leveraged in-house automation tools and automated data validation techniques for joint E2E integration testing of real-time production scenarios. It accelerated validation of visualization / analytical systems and 2,000+ database objects, and execution of 8,000+ test cases. Exhaustive testing eliminated data anomalies and slippages.
Our cloud-based testing strategy enabled comprehensive data security and compliance validation during a security breach due to a ‘Petya’ malware attack.
Agile methodology
Infosys split the entire program into various sprints: customer, sales and operations integration. We defined specific points for near real-time data synchronization between the merged companies.
Early sprint testing eliminated gaps in data flow. Further, retrospective analysis at the end of each sprint cycle improved quality by detecting defects that were not identified earlier.
50% reduction in infrastructure costs due to virtualization
50% effort reduction because of faster production refresh and virtual database provisioning
20% savings in maintenance costs through cloud migration
90% savings in data storage costs due to data virtualization
€ 300,000+ saved via cloud TDM solution