Proving Impact from Data Literacy and Upskilling Programmes
Join an exclusive peer discussion for senior data and AI leaders.
This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. While the session is designed exclusively for DataIQ clients, we occasionally welcome select guests who bring valuable perspectives to the conversation.
DataIQ clients: Please secure your place via the DataIQ Hub.
──────────────────
Discussion questions:
- How do organisations move beyond participation and completion metrics to evidence operational, financial, and workforce impact of data literacy and upskilling initiatives
- What approaches have worked to collect and share impact stories so they can be used credibly with senior leadership?
- How can organisations turn fragmented evidence into an enterprise-wide asset that supports funding decisions and prioritisation for data and AI work?
Who should attend:
This session is designed for senior data, AI, and governance leaders who:
- Have experience in successfully demonstrating value of data literacy, skills, learning frameworks, or workforce upskilling programmes
and - Operate in large, federated, complex organisations (including public sector or cross-government environments) where data capability initiatives span multiple functions, partners, and delivery models.
──────────────────
Accelerator format:
These are 60-minute panel discussion type events, that allow up to 10 participants to work through a set of questions from the host participant. We curate every panel to ensure the right working group is in place to provide ideas, suggestions and perspectives towards the case.
In each session you can expect:
- Prequalified group of experts in the area
- A round of introductions to each participant (up to 10 people)
- An in-depth discussion with inputs from cross-industry participants
- Concrete take-aways and action plan for moving forward
──────────────────
How to apply if you are not a client:
If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.
DataIQ clients: Please secure your place via the DataIQ Hub.
Local Time
- Timezone: America/New_York
- Date: 12 Feb 2026
- Time: 9:00am - 10:00am