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Principles of a Data-Driven Organisation
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If you want to transform your company into a data-driven organisation, you can't just focus on the systems. Only if the corporate culture fits in and, above all, the communication between business departments and the IT department is right, will the change succeed. 

According to analysts at Gartner, by 2024 around 75% of all companies will bundle their data & analytics initiatives in a central competence center to ensure the success and coordination of all data initiatives in the company. Martin Treder, sought-after speaker and book author on data management organizations and Head of MDM Business Partner at Boehringer-Ingelheim, sees the basis for the prediction to come true in the collaboration between business, IT and a data office. 

In this webinar, Martin Treder shares knowledge from his 25 years of practical experience in global corporations. Learn why data governance must harmonize with corporate culture. And hear why the importance of data as a core component of any initiative, can only be evaluated if it is understood as an element of your value chain. 

On-demand
60 Minutes
English
For free

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Speaker Martin Treder

Head of MDM Business Partner at Boehringer Ingelheim. Data Evangelist, book author and speaker at ReturnOnData.biz.

Martin Treder is a realistic visionary in data management, with over 25 years of leadership experience at large international companies such as DHL, FedEx or Boehringer Ingelheim. His focus, also as a book author ​​​​​​​and independent consultant, is on building an efficient data organization in companies as well as on systematically extracting added value from data. 

Moderator: Arnold Nienhuis

Marketing & Sales Director for Benelux and Nordics

Arnold Nienhuis is a professional with international marketing experience and a strong focus on data-driven projects. At parsionate, he and his colleagues support European enterprises on the journey to digital transformation, strategy and implementation of master data management, improvement of data quality and implementation of data governance.

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