Data-Driven Marketing: Embracing Data Science and AI for Success
This blog post explores the potential of data science and AI in enhancing marketing practices to achieve optimal results.
Turn your data into an asset
Your data is an opportunity to get a competitive edge, to mitigate risks and to grow your business in a sustainable way by making the right decisions. But too often data remains unavailable, unknown or not combined and opportunities are missed. Are you seeing the untapped potential? Are you looking for the next step to take?
Don’t forget to also start treating your data as an asset! Check out our view on Data Governance
"Data engineering is not about fancy algorithms. It is about data-driven problem solving in order to create business value."
Datashift geared us up with the required architecture, knowledge and tools to be able to steer our business with insights. They clearly understood the importance of a hands-on approach at the start, evolving into a strategic and future-proof data roadmap later on.
Bart Van Den Langenbergh,
Head of Marketing & Sales, Streamz
Want to get trained in Data Science and Engineering? Follow The Link!
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.
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.
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.
