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Printable Handouts
Navigable Slide Index
- Introduction
- How can we measure data literacy?
- Databilities
- Levels of progression
- Data literacy competencies
- The how
- Measure: The current state
- Map: The future state
- Develop: The current state
- Prioritise the areas of focus
- Our approach
- We do this every day
- Education
- Immersion
- The time is now
- Thank you
This material is restricted to subscribers.
Topics Covered
- Data literacy
- Immersion
- Data driven culture
- Competencies
- Data analysis
- Progression
Talk Citation
Crofts, J. (2025, September 30). Data literacy: a solution [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved September 30, 2025, from https://doi.org/10.69645/DBJE4339.Export Citation (RIS)
Publication History
- Published on September 30, 2025
Transcript
Please wait while the transcript is being prepared...
0:00
Hello, and thank
you for joining me.
My name is Jane Crofts,
and I lead an organization
called Data to the People.
In this talk, we're going to
be discussing data literacy.
Specifically, we're going
to look at the what
and how of data literacy.
0:21
The biggest challenge in
building and nurturing
lifelong data literacy is
knowing how and where to start.
If we could somehow
measure data literacy
at an individual level,
we'd be able to paint
a pretty clear picture
of the current abilities
of different teams,
departments and regions
of our business.
We'd be able to pinpoint groups
that need greater attention
and discover those
who can continue
on their existing trajectory,
or even become champions
across the organization,
using their knowledge to
inspire and support others
to develop their skills.
We'd be able to develop
and nurture data literacy
across our entire organization,
build a data-driven culture,
one that will enable and
support our organization
to do the things we
never thought possible.
1:19
That's why I built Databilities.
1:23
When we started our work,
the concept of data literacy
was only really emerging
into the mainstream
conversation.
There was no agreed definition,
no agreed standards
to fill this void
and break down a topic
that was confusing to many
and abstract to most.
I built Databilities,
the world's first evidence-based
data literacy
competency framework.
I spent a number of years
working in the public service,
and one thing I grew to love
in the public service was
a good old competency framework.
These frameworks
break down every job
across every function
into discrete blocks
of competencies and behaviors.
They give you your
precise example
of what is expected
in each role.
They also give you a
definitive example
of what could be
expected in a next role,
a higher role.
It's all laid out on the table.
If you wanted a promotion
from job A to job B,
you needed to demonstrate
that you ticked all the boxes
on the competency framework
for your existing role,
but more importantly,
you needed to show that you
were already on your way
to ticking boxes
for the next role,
preferably having already
ticked a few along the way.
Some of you may have noticed
the framework starts at Level 1.
There is no Level 0,
and that's deliberate.
I don't believe in
data illiteracy.
I believe in data literacy.
I believe we all have
an existing level
of data literacy,
and it's our collective
mission to build
and nurture this data
literacy for ourselves,
our communities, our
organizations, our world.
We need to foster
confidence in our own
and in our people's
ability to read, write,
and comprehend data.
No one knows it all,
and no one has nothing
further to learn.
I believe it's our
collective mission to build
and nurture lifelong
data literacy.
We can't become complacent.
We can't leave any man,
woman, or child behind.
Data literacy will become
as important as literacy
and numeracy.