Overview
This resource highlights the operational, technical, and funding considerations for organizations building their in-house data team with deliberations from three data leaders in the social impact community.
Do you have feedback on this resource?
Thank you for your feedback as we strive to curate and publish resources to help social impact organizations succeed with data.
Explore More
Related Guides & Resources
How to appropriately staff an organization to meet its data needs
A guide to assist you in the process of understanding your organization’s data skill needs, the nature of different data jobs and when they are needed.
Overview Leaders of data science teams face unique management challenges: stakeholders might get disillusioned by your data science team’s inability to deliver magic, the continuous struggle to recruit and retain data science talent, data science’s ethical dilemmas, disagreement on processes, and differing levels of technical acumen across the organization. This guide…
Overview Social impact organizations need to devote time and resources to classify and certify the different types of analytical jobs they have and need. They can benefit from expanding their talent pools by working with universities directly on educational programs, and by building and nurturing communities within their organizations to…