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Data Science

Data-Driven Marketing: Embracing Data Science and AI for Success

Successful marketing in today's digital era hinges on a profound understanding of customer needs and behaviours, coupled with effective actions based on that knowledge. The vast amount of data available in the digital landscape offers an unprecedented opportunity to gain deep insights into various aspects of marketing. This blog post explores the potential of data science and AI in enhancing marketing practices to achieve optimal results.

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What an event-driven architecture brings to the table to solve your data ingestion challenges

Before you can generate insights from your data, you need to move those data from an operational to an analytical environment - a process commonly referred to as data ingestion. An event-driven architecture provides an elegant way to achieve a process marked by timeliness, performance, and cost-effectiveness.

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How a data hub helps you step up customer engagement

A modern data platform makes integrating new services and empowering new use cases easier than ever. A data hub that provides your salespeople and service engineers with actionable customer data straight from your data platform is an excellent example of what you can achieve with modest effort.

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Who knows who: from Hollywood to Flanders

In this sequel on graph analysis we try to find connections between different actors and movies they played in. Some of the links are not obvious at first glance, e.g., what is the connection between Zendaya and Audrey Hepburn? Will Smith and Chris Rock? Xander De Rycke and Steven Spielberg? Andy Peelman and Steven Seagal? The method to find out those links is the Dijskstra shortest path algorithm.

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