Navigating Data Projects and Leading Transformation | Tomás Trenor (Head of Business Intelligence & Advanced Analytics at Sanitas)
In this episode, Tomás Trenor shares lessons from his career leading data analytics and business intelligence projects. As head of these functions at a major healthcare company, Trenor discusses the importance of understanding business needs and communicating value, not just technology. He emphasizes relationship-building and trust with stakeholders to successfully implement projects. Trenor also stresses the need for data governance to improve decisions. Leaders must sell strategic value, take risks, and foster critical thinking. Through examples at previous roles, Trenor illustrates challenges in connecting technical and business teams and provides advice for navigating data-driven transformation.
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00:00 - Introduction to Thomas Traynor's background
07:17 - Lessons learned from early career experiences in traffic data
10:27 - The importance of understanding business needs and selling value
15:19 - Building trust in data projects and stakeholders
20:02 - Challenges in becoming data-driven and the role of data governance
25:54 - Advice for data analytics leaders and lessons from previous roles
29:55 - The importance of trust in data science projects
32:18 - Building trust with stakeholders in data analytics projects
37:37 - Data-centric approach to AI, challenges in becoming data-driven
41:40 - Implementing data governance to improve data quality and decision-making
46:35 - Data governance, selling value, and health projects
49:15 - Data-driven decision-making initiative for call centers
59:12 - Using data analytics for personalized health plans
1:07:19 - Leadership in data and AI, with emphasis on risk-taking, planning, and emotional intelligence
