Today, plenty of enterprises consider themselves data driven, but very few actually succeed at putting data at the fingertips of all employees or empowering them to use it in new and innovative ways, for faster and better decisions. Yet more advanced organizations are well on the way to doing so through a combination of technology, processes, and most of all, people. By creating a collaborative and interactive analytic environment, a forward-thinking company may harness the best capabilities of its business analysts and data scientists to answer the company’s most pressing business questions. What were fragmented and sometimes redundant operations and analyses, reserved for only certain people at a company, can become democratized to drive innovation, collaboration, reuse, and the value of new and emergent datasets.
Deborah Reynolds and Kurt Muehmel explain how to put data at the core of everyday business decisions, share lessons learned and takeaways from transformation, and detail the difficulties you may encounter when trying to scale.
This session is sponsored by Dataiku.
Deborah Reynolds is vice president of data and analytic innovation at Pfizer, where she is responsible for the identification, development, and deployment of analytic tools and capabilities that improve the speed, creativity, and impact of analytics on business decisions. She’s also responsible for the company’s data acquisition strategy, including uses of new and alternative data sources for business analysis. Debbie has been with Pfizer since 1992 with roles in finance, operations, and analytics. She holds an MBA in finance and accounting from Columbia Business School and a BA in economics from Cornell University.
Kurt Muehmel is the vice president of solutions engineering at Dataiku, where he’s built analytics and AI solutions for Fortune 100 companies worldwide and is building its solutions engineering capability worldwide. Having worked with dozens of clients of all sizes and across a multitude of sectors, Kurt has developed a deep understanding of the challenges and opportunities for companies looking to increase the value they’re deriving from their data and increase the capabilities of the growing teams of data scientists, engineers, and analysts. In a career that’s spanned several international moves, he’s worked for the United Nations, a Big Four consultancy, and a struggling high school in the Paris suburbs
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