How Ipsos has digitally adapted to changing business needs

According to Mohammed, a key benefit of this project is consistency, since Ipsos can ensure results across geographies, sectors, and services following the same standards and best practices. Flexibility is another, since it allows the brand to customize its deliverables according to specific needs and preferences of each client, using different formats, languages, ​​and visualizations. Then there’s scalability through cloud computing, which helps handle large volumes of data and complex analysis without compromising performance or quality.

To succeed on all these innovative fronts, Ipsos works with leading cloud providers to leverage their infrastructure, services, and expertise. In some cases, it also works with select integrators such as Accenture and Thoughtworks to help implement and integrate solutions. According to Mohammed, the results of this digital transformation journey are measurable and impressive. “Internally, it’s achieved higher employee satisfaction, faster response times, better collaboration, and better value for customers,” he says. “Externally, it’s seen a steady rise in customer satisfaction surveys, revenue, stock price, and ratings as the most innovative provider in the market research industry.”

A technological base

Ipsos considers digital transformation a strategic priority for growth and competitiveness. “We rely on cloud-scale technologies, proprietary data science and analytics engines built on open standards to handle massive data sets,” he says. Additionally, he and his team continuously explore reams of data and modern tools to improve capabilities and adapt to the changing data landscape.

Among the technologies Ipsos uses, cloud computing stands out, with services from Microsoft Azure, Google Cloud Platform and AWS for infrastructure, storage, computing, analysis, and AI needs.

Additionally, the company has developed its own reporting engine, providing advanced statistical analysis along with interactive dashboards and reports, using open standards such as HTML5, CSS3, JavaScript, D3.js and React.js.

Another of its own technological developments is a data science engine that performs advanced analysis and modeling, using open standards such as Python, R, TensorFlow and PyTorch.