Leadership Perspectives: Borut Olenik - Zavarovalnica (Insurance) Triglav

Great Data Minds - A podcast by greatdataminds

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These days, data & analytics leaders hold key importance for guiding their organizations toward digital transformation and evolution. They are the lighthouses that help direct their organizations toward the incredible value that is unlocked through the leverage of properly-run data and analytic programs. But, they are also are humans, and just like many of us, they must work through conflict, company politics, time zone changes and other challenges. Please join us for our new monthly Leadership Perspective Series where we talk to some of the greatest data & analytics leaders across the globe. These quick, slide-free discussions will highlight the leader's perspectives, challenges and triumphs. What are they working on? How do they keep their heads above water? What creative approaches they are using to bring a data-driven culture to the forefront of their organizations? This month we will feature Borut Olenik, Director of Business Intelligence at Zavarovalnica Triglav, a Slovenia-based insurance company. We are honored to have met with Borut in Slovenia last summer. He is a caring leader and outspoken evangelist for proper data analytics practices and methodologies. Join us as we talk to Borut about his goals for 2022, his team, the tech culture in Slovenia and what he is doing to move data analytics forward, not only at Triglav Insurance, but also in his country.   ABOUT BORUT: Borut carries a natural optimism and is genuinely excited about technological innovation. He is driven to help stakeholders make better decisions using information derived from data. For Borut this goes beyond just business decisions, he believes that data can (and should) help inform personal decisions as well. At Zavarovalnica Triglav, d.d. Borut serves as a director in the Business Intelligence (BI). He is responsible for the development of a world-class business intelligence system. With his vast knowledge of business intelligence process (data analysis, data modeling, data visualization) and technology (including data warehouse, business intelligence tools, machine learning, etc.) he is happy to help decision makers get the information they need to work more confidently and purposefully.