Increase customer spend and satisfaction through dynamic recommendations - with Dataiku and Cloudera - Seguridad Mania.com - España y América Latina

What if you just knew what your customers needed? What if you could predict the exact mix of products and services they would want to buy at what price? Sounds like a crystal ball? Yet that’s exactly the promise recommender systems bring, as well as increasing customer satisfaction and returns for organisations. Although companies can now get their arms around the raw and often real-time data with Cloudera, there are key elements of the solution that are holding them back: data scientists are difficult to find and hire, data preparation is extremely time consuming, and it’s often a challenge to take machine learning models from test to production.

Dataiku simplifies this whole process, providing a single, collaborative, and team-based solution that caters both to the novice analyst and experienced data scientist. It brings a unified framework for both development and deployment of data projects, offering template approaches in addition to sophisticated tools for building and deploying predictive data flows. Machine learning, transfer learning, deep learning, data science—it’s all packaged for organisations to leverage, irrespective of their own maturity on the subject.

In this webinar, you will hear from Dataiku’s Jennifer Roubaud and Voyage Privé’s Alexis Thieullen:

-What the key ingredients are for creating targeted recommendations

-Which team roles you need and why collaboration is crucial

-How dynamic recommendations impact sales and drive customer satisfaction

-What the impact of transfer learning is on building even more sophisticated recommender systems

-Which other use cases can be tackled with predictive analytics

Join this webinar to find out what impact recommender systems can have on your business and how to create your own.