Regardless of the amount of resources – headcount, time, budget, etc. – your organization or department has or doesn’t have, data-driven insights are critical for growing the business, but uncovering “a-ha” moments is no easy feat. Most organizations also combine a number of business models within one operation and have numerous objectives to consider in everyday decision-making. Museums are no different. What's more, museums face significant headwinds, such as limited headcount, increasing costs and an uncertain economic environment.
Join this Data Science Central Webinar and learn how the Art Institute of Chicago (ARTIC) has leveraged self-service analytics to:
Grow attendance and operating revenue through more informed decision-making
Strengthen operations to share more of its collection online
Understand its audiences with the aid of machine learning
Through specific examples of the museum's successes, failures, and efforts in-between, you'll gain relevant insight into how to introduce or scale analytics in a resource-limited environment.
Dr. Andrew Simnick, SVP Finance, Strategy and Operations -- Art Institute of Chicago
Matthew Norris, Executive Director of Analytics -- Art Institute of Chicago
Raman Kaler, Alliance and Product Manager -- Alteryx
Bill Vorhies, Editorial Director -- Data Science Central