Make Data Talk cover art

All Episodes

Make Data Talk — 53 episodes

#
Title
1

#52 Why we need to separate decision quality from outcomes

2

#51 The leadership team sport behind data-informed culture

3

#50 Stop letting Excel choose your charts for you

4

#49 What if you have an epic data story but you're worried people in the meeting won't get it?

5

#48 Your data strategy and data plan are two different things - get both!

6

#47 Your data dashboard IS NOT a data story

7

#46 Data literacy has very little to do with maths ability

8

#45 You don't have a data problem - you have a confidence or skills problem

9

#44 What data people can learn from yogis

10

#43 Discovery visuals - the creative process BEFORE you show your charts to others

11

#42 The eight archetypes of the 3i impact model

12

#41 3i impact model

13

#40 Dashboards are not the answer to your problems

14

#39 The ethical use of data

15

#38 'Key person risk' and data

16

#37 Think like a bronze medallist with your data

17

#36 Pre-decision vs post-decision data

18

#35 Tipping points and leading data informed change

19

#34 STOP with the 'interesting' data!

20

#33 Data and meetings - what good practice looks like

21

#32 Dean Boxall - reflections on elite targets and high levels of care

22

#31 How data saves us time

23

#30 AI and data storytelling

24

#29 Reflecting on your impact

25

#28 AI and data trends and insights

26

#27 Summary statistics vs small data

27

#26 AI and data organisation

28

#25 Lights. Data. Action!

29

#24 Evidence-based vs evidence-informed

30

#23 Creating data norms for your teams

31

#22 Creating a compelling scorecard

32

#21 Data and trust

33

#20 Choosing the right data visualisations

34

#19 Data storytelling in our daily work

35

#18 Telling a data story to an audience

36

#17 Dead data

37

#16 Explanatory vs exploratory analysis

38

#15 Making numbers meaningful

39

#14 Confirmation and self-serving bias

40

#13 The purpose of data stories

41

#12 Data democracies

42

#11 Which data should I use?

43

#10 Having an impact: The evidence versus action quadrant model

44

#9 Does data have a PR problem?

45

#8 Baseline data

46

#7 Validity and reliability of data

47

#6 Writing good survey questions

48

#5 Trends versus insights

49

#4 Data literacy, data visualisation, and data storytelling

50

#3 Qualitative and quantitative data

51

#2 Triangulating data

52

#1 Data-informed versus data-driven

53

Trailer: Make Data Talk with Dr Selena Fisk