The document discusses a training session focused on improving data sharing between Sainsbury's and its suppliers. It outlines an agenda to help participants envision an ideal future state where data sharing is commonplace ("Datopia"), map out the specific types of data that could be shared to achieve this vision, discuss potential roadblocks to increased sharing, select a pilot dataset to increase sharing, and identify the key stakeholders needed to implement changes. The overall goal is to identify a realistic project that demonstrates quantifiable benefits from improved inter-organizational data sharing.

1. Benjamin Cave –
Trainer
@cave_ben29 November, 2016
Data Sharing

2. The Disclaimer
You know your organisations better…
… if it wouldn’t work, lets talk about why!

3. Follow-on work from session 2
1. List the datasets you would like Sainsbury's to share
with you
2. List the datasets Sainsbury's would like suppliers to
share
Your responses will be treated as confidential and
Chatham house rules apply

4. Goal
Identify a realistic project to
demonstrate the quantifiable
benefit of improved data sharing

6. Guidelines for discussion
1. Perfect first, practical later
2. No bad ideas (Yes and…)
3. Different perspectives, equal value

7. Feel free to speak freely
Chatham House rules apply
Notes will be taken for internal purposes only
If tweeting or posting, please be sure to
respect this rule

8. Session 1 –
Set the
destination

9. ‘Datopia’
5 years in the future, data sharing is the supply chain
commonplace and works for everyone
What does this future look like?
What can be done that can’t be done now?
How is the daily experience of working together different?
What are the benefits to suppliers?

10. 3 groups
3 minutes of silent though collection
10 minutes of group discussion & clustering
15 minutes to report back to the room

11. Session 2 –
Mapping the
route

12. The data
Reaching ‘Datopia’ needs data shared at the right level
across the business
What data have we identified as most relevant?
At what level of access is it currently shared?
How should it be shared to best benefit you?

13. 3 groups
10 minutes reflect/extend on the data suggestions
10 minutes to map data to the spectrum as it
would ideally be shared in ‘Datopia’
15 minutes to report back to the room

14. http://www.theodi.org/data-spectrum

15. Session 3
– Dead
ends

16. The roadblocks
Every change comes with objections and we need a
compelling business case
Who/what is likely to stand in the way of increased sharing?
What will motivate their resistance?
Which objections are you most likely to hear?
How can we make a compelling case for change?

17. 3 groups
15 minutes discussion of objections
20 minutes ‘devil’s advocate’ with objections
10 minutes reporting back to the room

18. Coffee Break

19. Session 4 –
Choose a
test drive

20. The test drive
Realistic improvements focus on a manageable test
case. Which dataset could that be?
Which specific dataset could deliver the most benefit?
What is realistic?
Where could change be most effectively implemented?

21. Whole room discussion
20 minutes to discuss & nominate
10 minutes to vote (if needed)

22. Session 5 –
Designated
drivers

23. The people
Effective change needs commitment. The right people
need to be engaged at the right time.
Who are the internal owners of the data we need?
Which decision makers need to sign off?
When do people need to be involved in the process?

24. Whole room discussion
30 minutes to discuss & nominate

25. Next Steps

26. Benjamin Cave –
Trainer
@cave_ben29 November, 2016
Thank-you