Why collect data if nobody can read or speak it?

A talk by Shaun McGirr
AI Evangelist, Dataiku Ltd

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About this talk

For what seems like decades, organisational leaders have been violently agreeing with the need to “be more data-driven”, but have left it to others to work out how.

This is a particularly difficult challenge for public sector data leaders because three decades of New Public Management have made everything a discrete project. Becoming a data-driven organisation requires everyone to achieve a basic level of data literacy, with easy pathways to go further to data fluency, and neither fits neatly in a project construct.

In this talk I share my own experience of becoming data literate (and then fluent) in the public sector, and share what Dataiku has learned from our customers, large and small, public and private, on how to deliver and support data upskilling at scale, sustainably.

Session takeaways - How to federate training across business units and skill levels to generate a common language that will facilitate use of data

  • Principles that make using and sharing data with colleagues as natural as email, calling, IM (hint: dashboards aren’t enough!)

  • Governance approaches that balance appropriate data access with encouraging upskilling, rather than making novices afraid to push their own development further

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