Learn how the food and drink industry can use big data in the supply chain

1. How Can We
Use Big Data
in the Food
Supply Chain?
Principles for Reducing Risk by
Leveraging Big Data in the Supply Chain
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2. How Can We Use Big Data in the Food Supply Chain?
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3. How Can We Use Big Data in the Food Supply Chain?
Using Big Data in the supply chain:
A new perspective on risk
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4. As a quality management professional,
you know of countless incidents where risk
became screaming-headline reality.
From minor breaches to major disasters.
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5. But red flag incidents don’t happen in a vacuum.
A huge number have something in common:
Information to prevent
them was already there.
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6. In India, a poor harvest for a common spice created an
economic incentive to substitute cheaper ingredients…
...including allergy-causing nuts.
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7. Sales of New Zealand’s manuka
honey in the UK alone...
...exceeded total
production.
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8. Tainted milk saturated the China market...
...because a quality test relied
on narrow criteria.
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9. In all these serious incidents,
preventative data was available…
...just not from
usual sources.
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10. This is why
you need
“big data”.
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11. Yet less than half of companies have
a strategy to use it.
So what is Big Data?
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12. Big Data isn’t about volume of data.
(Although there’s often
lots of it to plow through.)
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13. And it’s not about format of data.
(Although it’s often
unstructured and
hard to work with.)
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14. Nor is it about source of data.
(Although you need to
know where it came from.)
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15. So what is
Big Data?
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16. Big Data is about uniting
different datasets…
to see the story
from more than
one perspective.
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17. If UK supermarkets had looked at peanut
prices alongside cumin, the risk of unsafe
substitution would have been obvious.
(Just 37% of companies
use Big Data in the
supply chain.)
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18. If honey wholesalers had correlated total
production with total imports, they’d
have seen the numbers failed to add up.
(60% see an increase in
supply chain efficiency
of more than 10% after
adopting Big Data
methods.)
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19. And if Chinese milk standards were cross-
checked with farm data... An impossibly high
yield of top-grade milk shows the problem.
(41% of companies saw
their reaction times
to supply chain issues
improve.)
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20. These are all red flags
of quality best practice.
But the data sources you need to see
them may be outside your quality
compliance infrastructure.
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21. The solution:
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22. Don’t bring the data to your supply chain,
Take your supply chain
to the data.
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23. Cloud-based supply
chain management
lets you combine data from many sources
for smarter decision-making.
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24. Benefit #1:
Getting data in one place
makes it easier to analyze.
(Including historical data for
What-If scenarios.)
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25. Benefit #2:
Using multiple criteria creates
the correct context. (Reducing
the incentive to use only the
data you collect internally.)
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26. Benefit #3:
Having a broader perspective
makes unkown risks visible.
(Increasing the chance you’ll
recognize and raise red flags early.)
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27. Big data offers
eight big tools.
Tools no paper-based or
checklist-based quality
management process can
fully deliver.
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28. 1. Improve supply
chain performance
by seeing inefficiencies
in context
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29. 2. Ensure accountability,
with constant cross-
checks and balances
on all suppliers
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30. 3. Maintain transparency,
giving system-gaming
and fudge factors no
place to hide
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31. 4. Test your hunches
more easily, by bringing
historical data together
in one place
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32. 5. Share intelligence across
your global team, by
bringing all players
into your cloud
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33. 6. Act in real time, following
data sources that are
continually updated as
events occur
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34. 7. Prove compliance, with
an audit trail that’s always
on and always there
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35. 8. Above all, see the big story,
by seeing the big picture from
all angles… 30,000-foot-view
to extreme-close-up.
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36. Cloud-based quality management
lets you manage your complete
supply chain... from farm to fork.
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37. Compliance is a
moving target.
Managing your supply chain in the
cloud lets you stay ahead of the risks.
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38. Takeaways:
Many supply
chain risks can
be mitigated by
looking at data
more broadly
Moving supply
chain management
into the cloud
lets you combine
different datasets
The biggest risks
are those where
you don’t follow the
contributing factors
Adopting big data
methods gives
you 8 big tools for
managing your
supply chain
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39. Download your FREE eGuide now
Can leveraging Big Data improve
traceability? Yes it can. Download:
How to Achieve Supply Chain
Traceability in Food and Drink