In last year’s Rexer Analytics Data Science Survey, data scientists reporting three interesting things:

1. their models are rarely getting deployed, 
2. return on investment was the single most important metric for measuring projects and 
3. ultimately decision makers were unwilling to approve the operational changes needed to get to deployment.

In this session, Kate will share six lessons she learned as a tech founder that changed her mindset and helped her build successful data science “MVP”s (minimal viable products) that pass the “pitch” stage with her stakeholders.