Speaking and teaching
I speak to conference audiences, university programs, and corporate teams about what it takes to turn analytics into decisions, products, and revenue. Every talk comes from work I've led, with real numbers.
I take on both paid and unpaid engagements. The best fit is an audience that has to make data useful, not just accurate.
Six themes, each with working talk titles. Every talk can be shaped to fit the audience, the format, and the time slot.
Commercializing analytics: turning models and data into products and services people pay for.
Operating models, team design, and how to consolidate a fragmented analytics function without breaking it.
Insight is not the deliverable. Decisions are. What changes when planning runs on KPIs instead of intuition.
Media, martech, and loyalty measurement that holds up when finance asks how you know.
How scattered, siloed data becomes one asset worth licensing, with healthcare as the case study.
Leading analytics without losing touch with the work, across industries.
A selection of talks and workshops.
Conference talk · Shop.org
For retail marketing and e-commerce leaders
Data won't close the gap between stores and digital on its own, and much of what retailers hear about data won't help. Four contrarian ideas for building a better marketing strategy instead.
Workshop · Training
For client success, strategy, and sales teams at a marketing technology company
A working session for non-analysts on what analysis is, what it isn't, and the mistakes that make most analyses wrong. Built to raise the bar across a services organization, not just inside the data team.
Conference talk · Future of Email
For email and CRM marketers
Most email reporting answers what happened. This talk shows how to get to what it means: questioning familiar metrics, engineering better ones from data you already have, and measuring customers instead of campaigns.
| Opens | Clicks | Click-to-open |
|---|---|---|
| 10,000 | 1,000 | 10% best |
| 200,000 | 10,000 | 5% |
| 500,000 | 10,000 | 2% |
Three themes adapt well to case-based sessions for business and analytics programs: building data science practices, using data for action, and measurement you can defend.
Each case starts from a real decision a business had to make, the data it had, and what happened next. Students work the problem before they see the answer.
Guest lectures, workshops, and executive education are all open.
For organizers: bios and photos, cleared for event programs, websites, and promotion.
Jacob Davis is a data science, strategy, and analytics executive who builds data businesses that are useful, not just correct. Across CRM, media, martech, and healthcare, he has built analytics organizations from the ground up and turned fragmented data into products and revenue. He holds a BS in Economics from Wharton.
Jacob Davis is a data science, strategy, and analytics executive who turns complex data into platforms, teams, and revenue. He currently leads a healthcare data and intelligence business, building data infrastructure, licensable data products, and embedded analytics applications.
Over more than a decade he has built analytics practices from scratch, led full-funnel commercial analytics teams across the US and Mexico, and helped grow a media business from $80M to over $100M. His work has produced tens of millions in measurable revenue and client outcomes across Experian, Cheetah Digital, Aki Technologies, and Inmar.
A practitioner first, Jacob speaks on commercializing analytics, building real data science practices, and using data to drive decisions. He is a DMNews 40 under 40 honoree and holds a BS in Economics from the Wharton School.
Send the event, date, audience, and format. If you have a topic in mind, include it. If not, I'll suggest one.
