What Does the Data Say?

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This document discusses barriers to sharing analytics data within organizations and strategies for overcoming those barriers. It provides a case study of how VolunteerMatch shares quarterly analytics reports with corporate and nonprofit stakeholders. It also addresses questions about identifying the intended audience for data, determining what should be measured, and how to use the data to drive marketing efforts. The document encourages participants to submit a session evaluation for a chance to win prizes.

Technology Business

What does the data say? Converting analytics to action 11NTC #action George WeinerMatt StewartZephHarbenAlan McGee

Don't Hide Great Data! Spreading ownership and access to metrics and analytics

Barriers to spreading data:Layman vs. High Priests of Data

Barriers to spreading data: What if the numbers look bad?

Case Study: VolunteerMatch Corporate stakeholders quarterly analytics reports

Case Study: VolunteerMatchNot-Profit quarterly analytic reports

Case Study: VolunteerMatchStaffBrown Bag Analytics

Data Driven Marketing Alan McGee, Director of Web Analytics & Digital Marketing alan@donorschoose.org Twitter: @alanmcgee

Session Evaluation Each entry via text or web is a chance to win great NTEN prizes throughout the day! TEXT Text 11NTC#action to 69866. ONLINE Use 11NTC#action at http://nten.org/ntc/eval Session Evaluations Powered By:

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