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Customer Insights Center (RUGCIC)
Faculty of Economics and Business
Customer Insights Center (RUGCIC) Events

In-house sessions

Do you want to be able to communicate valuable insights about your customers and turn them into action-oriented strategies? Are you curious about how to use storytelling for your data analyses? Then the Customer Insights Center (CIC) of the University of Groningen invites you to our upcoming in-house session! Register yourself here.

This afternoon, we will give a presentation on Storytelling on insights, delivered by none other than Dr. Manjunath Padigar. With his years of experience in storytelling and insight management, he will teach you everything about how to turn data into powerful stories that can help your company move forward.

After Dr. Padigar's presentation, you can enjoy a short break and Noordhoff will present a practical case. Here, you will have the chance to see how the gained knowledge is applied in practice and gain inspiration for your own company.

Of course, we also provide some relaxation during this session. After the presentations, we invite you for a drink and a tour of Noordhoff.

The session will take place in a location (t.b.a.) in Utrecht and will include a short tour of the office of Noordhoff (more information will follow) and promises to be a valuable afternoon full of new insights and inspiration. Don't miss out and sign up now! The program looks as follows:

14.00 Presentation from Dr. Manjunath Padigar
15.00 Break
15.15 Presentation of practical case from Noordhoff
16.15 Drinks
17.30 End of the session

NB: the session of Manjunath will be in English

We hope to welcome you on this afternoon and look forward to your registration!

In our in-house sessions, knowledge is shared with other companies that face the same challenges on the basis of a current customer issue – often because they all serve the same or similar customer groups from an additional perspective.

Earlier inhouse sessions
Topic
06/10/2022
GeoMarktprofiel: data driven personalization
26/09/2019
Ahold: from data to online communication
06/06/2019
VodafoneZiggo: location based targeting
08/05/2019
Flanderijn: motivating defaulters
28/03/2019
EDM: machine learning
15/03/2018
EDM: data science & churn models
Last modified:26 May 2023 09.36 a.m.
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