Building Data Cultures


According to the NewVantage Partners’ 2021 Big Data and AI Executive Survey, almost 100% of organizations report investments in AI and data initiatives. Yet, only 24% of respondents claimed that their organization is “data-driven”, a marked decrease from last year’s 38%. In the same survey, the most significant impediment towards becoming data-driven is culture, with 92% of respondents stating that lack of data culture is the biggest impediment towards becoming data-driven.

In this webinar, Sudaman Thoppan Mohanchandralal, Regional Chief Data and Analytics Officer at Allianz Benelux, will deep dive into the ins and outs of building sustainable data cultures. Sudaman will bring his strong track record creating data cultures and will outline how and why data culture is a variable in business strategy execution, reflect on the meaning of data culture and how it’s an extension of organizational habits, how to demonstrate the tangle business impact of data culture, and execution plan for building data culture utilizing the D3M framework from Allianz Benelux.

Key Takeaways:

  • Understand how and why data culture is a variable in the business strategy execution equation

  • A reflection on the meaning of data culture for organizations trying to attain it

  • A discussion on how data culture is an extension of habits, and the importance of the science of habit

  • The ability to show tangible business impact owing to the attribution of data culture

  • An execution pattern for building data culture: D3M framework from Allianz Benelux

Sudaman TM

Regional Chief Data and Analytics Officer at Allianz Benelux

Sudaman Thoppan Mohanchandralal is the Regional Chief Data and Analytics Officer at Allianz Benelux. Steered directly by the regional CEO with his team, he has deployed many insurance leading AI solutions securing and enriching the competitive advantage for their business. He holds two masters in Computer Science & Business Administration, with a super specialization in Business Analytics and Intelligence. He is a data scientist and technologist, and is interested in translating complex ideas into actions, and carries the view that the future is one of ubiquitous AI. He’s experienced in bridging business initiatives with technology and human expertise, and fitting AI into organizations of today to transform them into organisations of tomorrow. He is also a doctoral student, following his PhD trajectory in the field of Artificial General Intelligence. His research interest is in encoding expertise in active self-learning machines.

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