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Quantifying the Value of Data Literacy

DATE: November 7, 2024

TIME: 2:00 PM - 3:00 PM Eastern / 11:00 AM - 12:00 PM Pacific

PRICE: Free to all attendees

About the Webinar

What is the value of a data-literate workforce? Experts tout dramatic increases in revenue, profits, and innovation resulting from having an advanced data strategy.

But what do the numbers tell us? Are there quantifiable metrics that indicate a return on data investment? Can we make rough estimates of how companies function differently with a data-literate workforce?

Here we will review what experts say about the dollars and cents of data literacy.

About the Speaker

Wendy D. Lynch, PhD
Founder, Analytic-translator.com

Speaker ImageFor over 35 years, Wendy Lynch, PhD has converted complex analytics into business value. At heart, she is a sense-maker and translator. A consultant to numerous Fortune 100 companies, her current work focuses on the application of Big Data solutions in Human Capital Management.

Through her roles in diverse work settings—including digital start-ups, century-old insurers, academic medical centers, consulting firms, health care providers and the board room—she became familiar with (and fascinated by) the unique language of each. She also became familiar with the difficult dynamic that often exists between business and analytic teams—preventing them from collaborating effectively.

Those experiences led to her true passion of promoting clear and meaningful conversations that produce mutual understanding and success. The result is her new book Become an Analytic Translator, and an online course.



Jamie DePastino
Data Governance Manager, Carnegie Mellon University

Speaker ImageJamie DePastino is the Data Governance Manager in Computing Services at Carnegie Mellon University. She works with leaders to establish and operate an evolving collaboration of data stewards, data consumers, and analysts to enable data sharing and analytics for the institution with the ultimate goal of supporting business leaders in using data to make decisions and analyze performance. She is responsible for leading, planning and facilitating the Data Governance and Data Service programs for the university. She develops data service programs and roadmaps along with establishing standards, frameworks, policies, and processes for the creation and maintenance of standard definitions, metadata, and data management and sharing practices to ensure data quality, stewardship, regulatory compliance, and issue resolution.



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