Roadmap to Revenue Podcast

In this episode to the Roadmap to Revenue podcast, your host Greg Silverman sits down with his first guest, Emily Mower, VP of Data Science at Concentric, to discuss the similarities and differences of her early career in analytics and what she does today.

Before Concentric, Emily earned a PhD at Harvard’s Kennedy School where she researched and taught econometrics and machine learning. She quickly realized that she didn’t like the non-collaborative nature of academia.

She also realized the political challenges of bringing to life the econometric models she was studying and teaching. So Emily pivoted her research to applied industry-focused research where she could...

Work with a team
Improve products and
See results quickly

Emily admits that when she started consulting in the analytics field she didn’t have the framework to have a full understanding of the differences between descriptive, diagnostic, predictive, and prescriptive analytics.

But looking back, Emily can now see where she intuitively applied the frameworks in many of her early career projects.

Emily also shares:

Software tools that help her provide beneficial analytic insights today to clients
Processes she used before she had the right tools
Differences in her processes now using the right tools (and what hasn’t changed at all)
Tools she used in the past (including the one she used early in her career but has now banned her team from using!)
The true benefits of using a tool that gives you a broader perspective of data

It’s obvious Emily enjoys her role of combining data science and product design. Serious analytics professionals who enjoy their career will enjoy this conversation.