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Louis Luangkesorn
Louis Luangkesorn

Louis Luangkesorn

Lead Data Scientist
Highmark Health
Bio

Dr. Luangkesorn is a Lead Data Scientist on the Highmark Health People Analytics Team where he works on projects applying statistical, predictive, operations research, and Generative AI models in use cases involving human resources and healthcare. Prior to working at Highmark Health he was an Assistant Professor of Industrial Engineering at the University of Pittsburgh. In this role he worked with industry partners including over 20+ industry based capstone projects per year for the department of Industrial Engineering and the Systems Engineering program at the University of Pittsburgh Graduate School of Public Health. He is a Senior Member of INFORMS and has served on the Job Task Analysis committee for the Certified Analytics Professional (CAP) program and is currently on the INFORMS Practice Strategy Committee and is a VP of the INFORMS Pittsburgh Chapter.


Where Should the Analysts Live: Organizing Analytics within the Enterprise

Enterprises use analytics to support decision making at all levels of the organization. But the potential of analytics in driving decisions can lead to conflict between the business units and the analytics champions in the organization. This talk focuses on common management structures—centralized, decentralized, and matrix organizations—and how they impact the success of analytics projects.  We will discuss common pitfalls that lead to project failures and examine how different management structures can address these challenges. By evaluating these structures, we will explore criteria related to long-term project success, including the development of subject matter expertise, fostering relationships between analysts and business partners, maintaining technical proficiency, and ensuring professional development for both analysts and business partners. Finally, we will emphasize the importance of sustainability and retention in building a robust analytics team that benefits the enterprise as a whole.

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