How Can We Use Big Data in the Food Supply Chain
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How Can We Use Big Data in the Food Supply Chain? Principles for Reducing Risk by Leveraging Big Data in the Supply Chain etq.com
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Transcript of How Can We Use Big Data in the Food Supply Chain
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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How Can We Use Big Data in the Food Supply Chain?
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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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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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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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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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Sales of New Zealand’s manuka honey in the UK alone...
...exceeded total production.
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Tainted milk saturated the China market...
...because a quality test relied on narrow criteria.
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In all these serious incidents, preventative data was available…
...just not from usual sources.
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This is why you need
“big data”.
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Yet less than half of companies have a strategy to use it.
So what is Big Data?
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Big Data isn’t about volume of data.
(Although there’s often lots of it to plow through.)
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And it’s not about format of data.
(Although it’s often unstructured and hard to work with.)
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Nor is it about source of data.
(Although you need to know where it came from.)
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So what is Big Data?
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Big Data is about uniting different datasets…
to see the story from more than one perspective.
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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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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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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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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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The solution:
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Don’t bring the data to your supply chain,
Take your supply chain to the data.
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Cloud-based supply chain management
lets you combine data from many sourcesfor smarter decision-making.
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Benefit #1:Getting data in one place makes it easier to analyze. (Including historical data for What-If scenarios.)
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Benefit #2:Using multiple criteria creates the correct context. (Reducing
the incentive to use only the data you collect internally.)
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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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Big data offers eight big tools.Tools no paper-based or checklist-based quality management process can fully deliver.
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1. Improve supply chain performance by seeing inefficiencies in context
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2. Ensure accountability, with constant cross-checks and balances on all suppliers
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3. Maintain transparency, giving system-gaming and fudge factors no place to hide
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4. Test your hunches more easily, by bringing historical data together in one place
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5. Share intelligence across your global team, by bringing all players into your cloud
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6. Act in real time, following data sources that are continually updated as events occur
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7. Prove compliance, with an audit trail that’s always on and always there
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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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Cloud-based quality management lets you manage your complete supply chain... from farm to fork.
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Compliance is a moving target.
Managing your supply chain in the cloud lets you stay ahead of the risks.
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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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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
