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Nissan: Data Alchemy… Driving Self-service Analytics

Nissan will share the approach and early successes that Nissan's IS & business teams have experienced while adopting a more collaborative model for data management & analytics. By focusing on business outcomes, proper alignment of the business & IS, and effective use of enterprise solutions from Informatica & Tableau, the company has unified around data as a high value asset. The pairing of visual analytics with self-service data discovery is the data alchemy that has become a powerful disruptor within the company for better decision making.

À propos des intervenants

Danielle Beringer

Sr. Manager, Information Systems, Nissan

Danielle is a tech manager and IS professional with 20 years of experience in transportation, logistics, engineering and automotive sectors. Danielle is currently the senior manager for data architecture, business intelligence, ETL, big data, data governance/stewardship, customer experience/CRM and advanced analytics solutions at Nissan North America. Her focus is on accelerating and empowering business and IT collaboration for quick access to self-service data and analytics.

Jason Snap

Manager TCS/FQI, Nissan

Jason has a background in IT and finance, with with a B.A. in finance from Belmont University and over 10 years of quality analytical experience. Jason's team is responsible for providing information and analysis to several quality focused departments within Nissan. Currently, several projects are underway to enhance Nissan's quality related reporting environment. Tableau and Informatica are a fundamental part of that enhancement.

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