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Analytics and Data Science Hub

Where analysts, data engineers and data scientists connect. It’s also here where we leverage data to innovate and make intelligent decisions.

 

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01. collect and store

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.

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02. analyze

We use some fun to play with tools for analyzing the collected data points and finding the patterns, or the lack of such.

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03. predict

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.

PREDICT

04. recommend

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.

RECOMMEND

05. monitor

We continuously monitor all data points for discrepancies and new insights. This ensures we can make good decisions in good time.

Ourtools & technology

We generally have every software we need, and if we don’t, we make sure we get it.

Python

Python

Google Tag Manager

Google Tag Manager

Google-Cloud Dataflow

Google-Cloud Dataflow

Google BigQuery

Google BigQuery

Kubernetes

Kubernetes

Kuberflow

Kuberflow

TensorFlow

TensorFlow

Keras

Keras

NumPy

NumPy

Pandas

Pandas

Jupyter

Jupyter