Operationalizing Data Within Large Organizations

You can find the slides here.

Large organizations are inherently different from young startups, or even medium-sized companies. They have usually been around longer, have stricter compliance requirements and company cultures that may go back generations.

What is the path to making large institutions data-driven and making it stick? What are the types of unique challenges that arise in these types of organizations, and how can data leaders and practitioners overcome them?

In this webinar, Maksim Pecherskiy, former CDO of the City of San Diego and lead data engineer for the Development Data Partnership at the World Bank will demystify the unique challenges to operationalizing data science within large organizations, how large organizations can get their data science practice off the ground as quickly as possible, and what are the best practices that facilitate a data-driven culture within large organizations.

Adel Nehme Headshot
Adel Nehme

Data Science Evangelist at DataCamp

Maksim Pecherskiy Headshot
Maksim Pecherskiy

Data Engineer at World Bank

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