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Dynamic Pricing in Retail

Data Analytics in Retail

Berend Wijte and Melvin Agten gave the webinar Data Analytics in retail. This webinar is now available on-demand so you can watch it again whenever it suits you best. After this webinar you will be fully informed about the different types of analytics, how to use them within your organization and you will have insight into relevant use cases for retailers.

What is the webinar about?

Digitalization and market movements bring both opportunities and challenges for retailers. Think about fluctuations in supply, prices, competition and omni-channel performance. It is becoming increasingly complex to make the right decisions that lead to the achievement of organizational goals. Applying analytics to all internal and external available data facilitates effective decision making.

During this webinar, Berend Wijte and Melvin Agten will provide insight into:

  • What types of analytics there are
  • What it takes to effectively deploy data and analytics in your retail organization
  • Relevant analytics use cases for retailers
  • What new insights you can extract from your available retail data.

For example, you will discover how to optimize your assortment using data, how to gain insight into the potential revenue growth of current locations, what the revenue potential is of new locations, and how dashboards and reports provide you with relevant insights to make data-driven decisions.

The hosts

Berend Wijte
Berend Wijte

Data Scientist

Berend Wijte helps organizations get the most out of their data. With his education as an econometrician, he is able to apply algorithms to your data and discover opportunities. Furthermore, Berend is involved in all aspects of the data chain: from the data platform to the reports that are displayed. Because of this overview, Berend is aware of what it takes to make Analytics successful in your organization.

Melvin Agten
Melvin Agten

Business Consultant Data Science

In the role of Data Scientist and Consultant, Melvin Agten is able to develop and implement data driven solutions with end users. He does this by combining hands-on data science, business knowledge and effective communication. Melvin has a mathematics and physics background and extensive experience in various industries.

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