Treasure Data: Learn more about what a Customer Data Platform can do for you

There is an ongoing debate about whether to buy or develop one's own software solution in-house. This is especially true in a difficult economic environment where deployment times and costs have a strong impact on business agility.

The correlation between performance and data-driven marketing has become established in most industries. Using a Customer Data Platform is becoming a must as it provides a unified customer profile to better understand customer preferences, behaviours and expectations in order to personalise its approach to increase engagement and campaign performance.
In a dense and constantly evolving MarTech landscape, the question arises: to develop or to buy?

In this webinar, Marine Desgranges, senior solution consultant, and Magdalena Dybiec, head of Digital Marketing EMEA at Treasure Data, will discuss key areas that organisations need to consider when looking for the right solution, whether it's building their own or buying an out-of-the-box solution.

The CDP is the central place to know all about your customers and provide them with the most personalised experience through each touch point with your brand. The CDP not only collects data from the different touch points but also provides insights, prediction and enrichment through artificial intelligence and machine learning to make sure you know all about your customers. Technical and non technical teams will be working together to create the most complete customer profile on the CDP. That’s why, we will showcase today how each team, with different skill sets, can leverage Artificial Intelligence and Machine learning to contribute to the most complete 360 view of each of your customers.

The webinar will discuss the benefits of using a real time Customer Data Platform.
Overview of key topics that will be covered during the webinar:
- Quick "What is Real Time?"
- Real Time vs Batch - When to use each ?
- Real Time Insights using a Walnut demo on Treasure Bikes
- Real Time Personalisation continuing the Walnut demo on TB