2 Weeks
·Cohort-based Course
Make sure you're working on the right things, measuring their value, and reporting them in a way that gets buy-in
2 Weeks
·Cohort-based Course
Make sure you're working on the right things, measuring their value, and reporting them in a way that gets buy-in
Course overview
Do you know how much money you helped your employer make or save thanks to your data, analytics, and/or AI work?
We love to talk about how business leaders need to gain "data literacy", but in truth it goes both ways: Most data teams haven't learned how to speak the language of the business (which is primarily about $$$), and it’s holding them back.
Let's change that together by helping you:
1️⃣ Link your work back to commercial value (and any other big goal like CO2e emissions, company reputation, regulatory compliance)
2️⃣ Quantify the commercial impact of your team's work (in a way that's understood, accepted, and trusted by your stakeholders and leadership)
3️⃣ Identify the initiatives that will have the greatest impact (because 1️⃣ and 2️⃣ are useless if your team is stuck working on the wrong things!)
01
Data & AI Product Managers eager to maximise their impact and credibly demonstrate their products' value contribution
02
Data Science and Analytics Managers tired of always reacting to business requests, and instead want to focus on proactive, impactful work
03
Consultants and freelancers looking to sell more projects while increasing the impact they have for their clients
Practical strategies and tactics for quantifying value that will get business buy-in
You will learn how to apply these when scoping out new initiatives and/or evaluating in-flight or recently-completed work, so that you can quantify impact in terms of commercial value ($$$), environmental impact (CO2e), or other key metrics in your organisation.
A crash course in Product Discovery for Data & AI initiatives
The best and easiest way to ensure you can quantify your team's impact? Working on things that clearly and obviously move the needle for the business. We'll go through how you can identify, define, and sell these to ensure your team is a strategic partner, not a data factory.
Proven frameworks and templates to get you started
Templates and frameworks won't solve your problems on their own, but they're a useful scaffolding when you're getting started with applying what you'll learn to your actual day-to-day work.
Personalised coaching
One of the biggest benefits of this being a live course is that you can bring your exact situation to the discussion for us to discuss. Think of it as half-course, half-coaching.
Learn with -and from- fellow data professionals
You'll be learning alongside a group of peers all facing different-yet-similar situations. You'll work through course materials together, share your perspectives, and stay connected via Maven's student portal
Expand your data product management network
You'll connect with fellow data product managers, technical managers, and consultants. With data product management being such a nascent profession, most of us don't have (m)any peers inside our organisations to work with and learn from.
6 interactive live sessions
Lifetime access to course materials
22 in-depth lessons
Direct access to instructor
7 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Value from Data & AI: How to demonstrate & maximise your impact
Jan
13
Jan
15
Jan
21
Feb
24
Accountability & progress sharing check-in: 1 month later (optional)
Mar
24
Accountability & progress sharing check-in: 2 months later (optional)
Apr
28
Accountability & progress sharing check-in: 3 months later (optional)
Head of Product at CKDelta.ai
Nick is Head of Product at CKDelta, the AI software business within the CK Hutchison Holdings group. He oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and AI.
Nick has been working at the intersection of data science, analytics, consulting, and product management for the past 8 years, in many industries including retail, consumer goods, hospitality, finance, utilities, ports, technology, and government.
Passionate about data product management, Nick regularly organises DPM meetups in London and Barcelona, co-hosts a DPM podcast, and writes regularly on LinkedIn and his data & AI product management newsletter.
Join an upcoming cohort
Cohort 2 (online)
€499
Dates
Application Deadline
4-6 hours per week, for 2 weeks
2x content-packed live sessions
4 hours each
Two content- and discussion-packed sessions, one per module. Depending on cohort preferences, we can split these into separate days - the aim is to ensure everyone can make 100% of the live course!
Take-home assignments
~2 hours
You'll receive suggested actions you can implement immediately after each live session and share the results of with your cohort.
Support after the course ends
Ongoing for 3 months
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Join an upcoming cohort
Cohort 2 (online)
€499
Dates
Application Deadline