Skip to content
Stacey Schwarcz headshot

Stacey Schwarcz

Stacey Schwarcz

Founder and CEO at Ariel Analytics

As a data scientist and strategist Stacey excels at bringing people together to understand the processes that create data, make sense of that data, and enable better business decisions. She has over 20 years of experience in analytics and operations in both the public and private sector and holds graduate degrees in transportation engineering and data analytics from the Massachusetts Institute of Technology (MIT) and City University of New York (CUNY). She specializes in improving analytics capabilities in business operations through data strategy, data visualization/interactive dashboards, better analysis and models, and analytics training to boost employee skills and knowledge and achieve long term impact. Stacey founded Ariel Analytics (, a data science and strategy consultancy, to provide specialized data analytics expertise and personalized attention to guide companies in maximizing the value of their data and the potential of their people. She is the creator of The Data Wilderness® Blog ( which provides practical introductory analytics content for business professionals who are not analytics experts and want to learn more. Ariel Analytics is Your Data Wilderness Guide.


Track: Analytics Process

How to Foster a Data-Driven Culture

Does it seem like everyone is talking about being data-driven, but you’re not really sure what it means or how it works? Learn how to help your organization become more data-driven and find your place in a data-driven culture. Not an analytics person? Not a problem. This fully interactive workshop will give you a better understanding of how to approach problems with an analytics mindset, provide a comprehensive context to help you piece together what you have heard about data analytics, and so much more. What you’ll learn: how to define data-driven and data-driven culture; an analytics framework and analytics approach to problem-solving; how to address common analytics challenges and obstacles; hands on case studies; an introduction to the different roles in the analytics space; and concrete ideas or next steps to help you navigate the analytics landscape.