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ROI of Data & AI: How to demonstrate & maximise your impact

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've made for your company or client?

Maximise your impact and ROI by adopting product thinking, frameworks, and practices


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 (aka $$$), and that's holding them back.


If you don't know your data team's ROI, it's holding you back too.


💪 Let's change that together by helping you:

1️⃣ Connect your work to real commercial value

Whether it’s revenue, cost savings, sustainability, or compliance, learn how to anchor your projects in what matters most to your stakeholders


2️⃣ Quantify the commercial impact of your team's work

Present the commercial impact of your team’s work in clear, trusted, and compelling terms that resonate with leadership


3️⃣ Prioritise for maximum impact & ROI

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!)

Who is this course for

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

What you’ll get out of this course

Practical Strategies to Secure Business Buy-In

Learn how to scope new initiatives and evaluate ongoing or completed projects by quantifying impact in terms of commercial value, environmental impact (CO2e), and other key metrics that matter to your stakeholders.

A crash course in Product Discovery for Data & AI initiatives

The best and easiest way to ensure you can quantify your team's impact is to work 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.

Actionable Frameworks & Templates

Access proven frameworks and templates that serve as a solid foundation for applying these strategies to your day-to-day challenges. While they’re not a magic bullet, they provide the scaffolding you need to start quantifying impact immediately.

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 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.

This course includes

9 interactive live sessions

Lifetime access to course materials

11 in-depth lessons

Direct access to instructor

4 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.

Course syllabus

Week 1

Mar 3—Mar 9

    Mar

    3

    Session 1: Opportunity Valuation I

    Mon 3/33:00 PM—7:30 PM (UTC)

    Mar

    5

    Optional: Office hours (coaching slot)

    Wed 3/53:00 PM—5:00 PM (UTC)
    Optional

    Mar

    7

    Session 2: Opportunity Valuation II

    Fri 3/73:00 PM—7:30 PM (UTC)

Week 2

Mar 10—Mar 14

    Mar

    10

    Session 3: Opportunity Discovery

    Mon 3/103:00 PM—7:00 PM (UTC)

    The WHY: Why we need to do Discovery (& what that means)

    2 items

    The WHAT: What do we mean by 'Opportunity Discovery'?

    2 items

    The HOW: Key skills, approaches, and resources for Discovery

    8 items

    Mar

    14

    Optional: Office hours (coaching slot)

    Fri 3/143:00 PM—5:00 PM (UTC)

Post-course

    Bonus resources & further reading

    3 items

Bonus

    Post-course check-ins

    • Apr

      14

      Accountability & progress sharing check-in: 1 month later (optional)

      Mon 4/142:00 PM—3:30 PM (UTC)
      Optional
    • May

      5

      Accountability & progress sharing check-in: 2 months later (optional)

      Mon 5/52:00 PM—3:00 PM (UTC)
      Optional
    • Jun

      2

      Accountability & progress sharing check-in: 3 months later (optional)

      Mon 6/22:00 PM—3:00 PM (UTC)
      Optional

Meet your instructor

Nick Zervoudis

Nick Zervoudis

Founder of Value from Data & 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.


Most recently, Nick was Head of Product at CKDelta, the AI software business within the CK Hutchison Holdings group. During his time there, Nick led data strategy consulting projects for multibillion dollar companies and was responsible for CKDelta's portfolio of telco-based data products.


Before CKDelta, Nick worked as a Data PM and/or data consultant for companies including PepsiCo, Capgemini Invent, IKEA, Sainsbury's, and Lloyds Banking Group.


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.

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ROI of Data & AI: How to demonstrate & maximise your impact

Course schedule

4-6 hours per week, for 2 weeks

  • 3x content-packed live sessions

    4 hours each

    We'll go through all the course content together in these sessions, so you can pause, ask questions, and bring your specifics into the discussion

  • 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.

  • Bonus coaching (office hours)

    during the course

    Extra slots for you to bring questions and challenges in between our live sessions

  • Continued support after the course ends

    ongoing for 3 months

    • You'll retain access to the course platform and Slack-like channels
    • We'll also have 3x group coaching sessions after the course ends to share progress and problem-solve challenges

Learning is better with cohorts

Learning is better with cohorts

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

Frequently Asked Questions

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ROI of Data & AI: How to demonstrate & maximise your impact