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A Framework For Creating a Data Academy

Key Takeaways:
  • Learn how to define the scope and target audience for your data academy.
  • Discover strategies for keeping learners engaged and promoting your academy.
  • Understand how to measure the ROI of your data academy and celebrate learner achievements.
Thursday, December 19, 11 AM ET
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Description

Building a data academy is a powerful way to upskill your workforce and foster a data-driven culture within your organization. However, defining its scope, identifying who needs training, and ensuring engagement can be challenging without a structured approach. A well-planned data academy helps employees across various roles gain essential data skills, but without the right strategy, it can be difficult to maintain participation and demonstrate the program’s value.

In this session, Marcela Schrank Fialova, the Founder and Executive Coach at Human Matters, will guide you through a comprehensive framework for creating a data academy. You’ll learn how to determine the scope of your academy, identify key stakeholders for its creation, and define learning personas to target training effectively. The session will also cover strategies for promoting your academy, keeping learners engaged, and measuring the return on investment, as well as creative ways to celebrate your learners’ successes. Whether you’re just starting out or looking to scale your data training program, this session provides the blueprint you need to ensure its success.

Presenter Bio

Marcela Schrank Fialova Headshot
Marcela Schrank FialovaFounder and Executive Coach at Human Matters

Marcela is an organizational and cognitive psychologist with 20 years of experience across operational and strategic roles in people and analytics. She runs the Human Matters HR consultancy, providing executive coaching and people diagnostic services. Previously, Marcela was Head of the Data Analytics Academy at Allianz.

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