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Data

CASE STUDY Modernizing B2B ecommerce platform to the cloud for a European shipping and transport company

About the Client

The client is a ferry operating firm situated in the United Kingdom that is a subsidiary of a significant Middle Eastern water transport company with a presence in Central Europe. The client owns and manages a number of subsidiary ferry companies in various parts of the world.

about-client

Problem Statement

The client wanted to move their B2C ecommerce platform to the cloud while also integrating their web and mobile applications with historical on-premises applications. Sonata Software collaborated with the multinational corporation to provide digital assurance services as part of our Azure package.

The client desired to restructure their sales process and operations in order to provide a better customer experience and higher levels of customer engagement. The old booking application system was on-premises and was not very quick or flexible in adapting to the dynamic market requirements. The old application was difficult to maintain and could not communicate with third-party applications.

problem-faced

Solution

Sonata proposed delivering a multi-cloud solution on Azure and building a SAP Hybris while providing assurance for functional testing-UI and API (through Postman), enabling test automation, and utilising Rest Assured for API test automation.

Our team performed the testing, which included functional testing, mobile web responsiveness testing, and cross-browser testing. API testing was carried out for the integration of front-end and back-end layers in multiple cloud environments. It also included third-party integration API testing, performance testing, and application security testing.

For regression and cross-browser testing, UI-based Functional Test Automation with Selenium was performed, as well as Performance Testing with JMeter and Azure Application Insights. Burp Suite Pro was used for application security testing, and the team verified that automated tests were run every day and that the test environment was deployed.

Benefits

Without having to wait for end-to-end testing, the API test automation helped give immediate assurance of its quality and discover errors early. End-to-end flow test automation aided in running all tests on daily builds as part of regression testing. Following build and deployment to the test environment, functional and API tests were automated and conducted on a daily basis.

Data

CASE STUDY Testing the implementation of cloud native enterprise product for a global software company

About the Client

The client is a multinational technology firm based in the United States that manufactures computer software, consumer electronics, personal computers, and related services. The client is one of the "Big Five" firms in the information technology industry in the United States. Since 2014, the company's focus has been on cloud computing, which has helped the company's stock achieve its highest value since December 1999.

about-client

Problem Statement

The client was looking for a partner to test the implementation of a complicated cloud-native corporate software. It necessitated the establishment of a test factory in order to deliver test as a service to their numerous customers. Functional tests, API tests, system integration tests, compatibility tests, and product upgrade testing were all part of the test service.

The client's corporate product line was well-known to Sonata Software, which aided in providing confidence on product deployment.

problem-faced

Solution

More than 50,000 scenarios with complicated functionality had to be tested. Finance, SCM, Project operations, Trade & Logistics, Warehouse Management, HRM, Sales & Marketing, and other elements were tested, and we also tested for multiple partners.

Sonata delivered Test as a Service (TAS) to a number of the client's clients. Functional tests, test automation, API tests, system integration tests, compatibility tests, and product upgrade testing are among the services provided. To meet the client's needs, we leveraged Azure services such as DevOps, Logic Apps, Data, Power Automate, and others.

Benefits

With 90 percent test coverage, 95 percent of these tests were automated and executed daily as part of the CI/CD pipeline. It aided in the stabilisation of tests, resulting in a 99 percent pass rate.

Data

CASE STUDY A Mobile Tech Leader Evolves its Digital Landscape Achieving Smarter Decision Making

About the Client

Our client, a mobile technology leader, specializes in providing transformational technologies to the wireless and video space. They also have expertise in mobile technology research and development.

about-client

 

Problem statement

The organisation had implemented Microsoft Dynamics 365, as well as a number of other enterprise applications in the data ecosystem. Furthermore, it was a complex web due to nearly 50 data entities, 54 legal entities, and a transactional volume of up to 32 million records. The incremental growth strategy had become a bottleneck.

Because the underlying platform was limited in its ability to support additional application integrations, data extraction and consolidation from various surround applications was a tedious and time-consuming process. As a result, the customer struggled to obtain data in time for analysis. There was a need to revisit the data processing model and construct a stronger data foundation capable of supporting digital landscape expansion. Sonata helped the client to build a platform to resolve current challenges and meet future business needs in various areas, apart from addressing processing limitations.

problem-faced

Solution

Sonata helped envision an Intelligent Data Platform that would help consolidate the data from varied sources and built intelligent workflows to help orchestrate the data within the ecosystem. The solution design focused on

  • Building a data infrastructure for speedy data processing, agile reporting, and insights delivery
  • Ensuring speedy data processing for integration use cases
  • Developing a scalable report processing model and report business performance
  • Unearthing patterns and critical insights

The platform developed by Sonata, leveraged Microsoft Azure Stack capabilities including Azure Data Factory, Azure Data Lake, Azure SQL DB, and Power BI that significantly contributed to a rise in the overall azure consumption. The platform also enabled the customer with real-time data analytics capabilities.

Benefits

  • A flexible and scalable data asset platform was developed by incorporating data strategy principles.
  • The platform model helped create a detailed implementation roadmap and build the architecture for the enterprise data platform.
  • Dispense incremental business value prioritized feature delivery.
  • Apply best practices and best-fit tools in evolving business fit data architecture using 18 Point Data Characteristics framework.
  • The intelligent data platform developed was equipped with predictive analytical capabilities.
Data

CASE STUDY How did we help a Global Energy Leader to Envision & Realize a Modern Platform on Azure?

About the Client

Enhancing risk management efficiency with the help of a modern data platform

Our client is an American global energy company in manufacturing, retailing and power generation. The client is one of the largest companies in the world and the second-largest company in the United States. It ranked 27th in 2021 on the Fortune 500 list and 61st in Forbes Global 2000 in 2020.

about-client

Problem Statement

The client's HES (Health & Safety Environment) department faced issues with the safeguards. The existing system was not effective in preventing accidents and had large scale implications. There was a need for a system that would create a link between safeguards and incidents. The system would also provide insights into the effectiveness and any likelihood of occurrence of any risks. These insights would help to boost confidence and allow for a more targeted approach to mitigating risks.

problem-faced

Solution

Sonata created a "safeguard system" based on a mesh architecture that consumed data from individual source systems. This system had a single interface that enabled the users to create a link between safeguards and incidents, equipment, and assurance activities. With the safeguard at the heart of the system, the system would link the risk assessment to incidents, equipment, and assurance activities. The unified data platform enabled automated data collection, cleaning, transformation, and storage in a central data warehouse for future use by business groups and systems.

The platform developed made extensive use of Microsoft Azure Stack capabilities such as Azure Data Lake, Azure BLOB Storage, Azure SQL Database, Azure Data Factory, Azure Data Bricks, and Azure Cognitive Search, which increased Azure consumption.

Benefits

  • The unified modern data platform enabled the orchestration of critical operational data improving operational and business efficiency.
  • Improved responsiveness to environmental impact challenges.
  • Timely detection of anomalies in the footprint and operational impact.
  • Effective responses enabled users to associate and differentiate a safeguard with one or more events, equipment, and assurance activities.
  • Efficient safeguard management improved equipment traceability and searchability.
  • Improved risk profile mapping using AI insights and algorithms.