Client Description

World Data Lab (WDL) is a data enterprise that produces the most consistent and credible estimates for spending and demography.

Research from WDL has appeared on CNN, The Economist, and the Financial Times. Some of their clients include HSBC, L’Oreal, and Citibank. Their advisory board includes leading representatives of the World Bank, Brookings Institution, and academia. Their team is made up of the world’s leading experts on economics, demography, and income.

Project Background

The World Data Pro product is a state-of-the-art analytics and data as a service (DaaS) tool. With it, you can increase your understanding of current markets, develop data-driven emerging market entry strategies, increase the accuracy of current and future customer profiles, and maximize revenue through optimized sales and distribution.

Challenges

The legacy version of the product had numerous issues with maintainability, new feature creation, and delivery, as well as data indexing and user traffic scalability issues.

The WDL team needed a complete rework and redevelopment of the tool, with a new design library, front- and backend services, and with state-of-the-art data indexing solution. All of them should run on a multi-regional highly available and scalable cloud infrastructure.

Value Delivered

After evaluating WDL’s requirements we proposed a scalable cloud and software architecture. It was able to reliably and instantaneously index and process the hundreds of gigabytes of consumer data.

  1. After approval, we implemented a custom backend service, which takes care of the subscription and access plan management.
  2. A backend service that searches and aggregates data from the search index.
  3. We developed the custom design library and a frontend app in accordance with the provided designs by the WDL team.
  4. Automated CI/CD pipelines were set up for the building, testing, and deployment stages of the services to a container orchestration system hosted on the cloud.

With this, we not only managed to develop a highly scalable data analytics platform but also achieve a very high level of customization and automation of the update, monitoring, and maintenance processes of the World Data Pro product.

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