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Published on:

24th Nov 2022

Innovative Approaches to Data Integration in Energy Management | Morten Ørris Poulsen (Head of Analytics at Kamstrup)

On this episode of The Data Storytellers podcast, we explore how data, technology, and human capital converge to transform the public sector, specifically in utility management. Our guest, Morten Ørris Poulsen, Head of Analytics at Kamstripe, shares his experiences from engineering to leading data initiatives. This conversation dives into the nuances of fostering a data-informed culture within a traditionally conservative field, the challenges of integrating analytics into everyday business processes, and the ethical dimensions of leveraging data for public good. Morten emphasizes the need for cross-functional collaboration and maintaining a balance between quantitative rigor and qualitative understanding to truly harness the power of data in decision-making.

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00:08 - Introduction and background of Morten Orris Poulsen

02:03 - Transition from engineering to analytics and the role of data in utilities

04:08 - Challenges of adopting data analytics in traditional industries

07:01 - The concept of being data-informed versus data-driven

10:35 - Integration of qualitative insights with quantitative data in strategic planning

14:11 - Overcoming skepticism towards data in the public sector

17:51 - The importance of building trust and clear communication in data teams

21:14 - How storytelling and visualization aid in data acceptance and strategic influence

26:34 - Team dynamics and leadership in fostering a data-informed organization

29:08 - Future trends and the evolving role of data analytics in public utilities

33:02 - Concluding thoughts on the impact of data analytics in transforming public services

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The Data Storytellers Podcast
The Data Storytellers is a leading professional community dedicated to building business influence for data and analytics leaders. Our mission is to empower and enable Data Science & Analytics professionals and organizations to actualize their full potential. In the evolving landscape of business, Data Science and Analytics departments are emerging as a business within a business, driving strategic decisions and influencing outcomes.

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