Where analysts, data engineers and data scientists connect. It’s also here where we leverage data to innovate and make intelligent decisions.
We use various tracking concepts, implemented into touchpoints in the customer journey. This helps us to understand the customer behavior while scaling products across multiple countries.
We use some fun to play with tools for analyzing the collected data points and finding the patterns, or the lack of such.
With the help of Machine Learning we can predict the customer lifecycle stage, purchasing behavior and preferences.That is part of our approach for providing a value adding experience.
Product recommendations are common in online shopping. With our recommender system we seek to inspire and engage the customer, next to offering products to complement their shopping basket.
We continuously monitor all data points for discrepancies and new insights. This ensures we can make good decisions in good time.
We generally have every software we need, and if we don’t, we make sure we get it.
Python
Google Tag Manager
Google-Cloud Dataflow
Google BigQuery
Kubernetes
Kuberflow
TensorFlow
Keras
NumPy
Pandas
Jupyter