Simon Grice's presentation on Data Driven Innovation at the Knowledge Transfer Network's Beacons for Innovation workshop on Data Driven Innovation in Manchester.
12. innovation
noun: the action or process of
innovating.; the introduction of
novelties; the alteration of what is
established by the introduction of
new elements or forms.
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13. innovation
noun: product development.
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14. So ...
data driven innovation
data driven product development
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25. These are not unrelated: what’s
happened in the past will often
guide what’s planned for the
future.
Today’s operational information
becomes tomorrow’s history.
And so on.
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26. Data source.
• social media (friends, likes, tags etc.)
• website (useage, click stream, search etc.)
• sales data
• content tags
• time/speed/location data
• identity data
• supplier, customer, partner
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27. Data source.
• sentiment data
• sensors
• mobile devices
• databases
• applications
• individuals
• interaction costs
• time/number of interactions
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40. Rise of the machines ?
Innovation
• Product development
• Data can guide the creative process
• Ownership, creativity and passion are key
•
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44. Extracting meaning.
• Data can feed into process in multiple phases.
• Identify relevant data to feed process.
• Create and manage feedback.
• Creativity remains key.
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45. Ideas & creating value.
• Updating supply chains.
• Realtime website layouts.
• Fashion trends.
• Film and video consumption.
• Publishing & content.
• Transport logistics.
• Dynamic user interfaces.
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46. Summary.
• Innovation = Product Developement
• Data is everywhere and growing.
• Identify relevant data.
• Develop processes that incorporates data.
• Don’t lose your vision.
• Don’t beleive *everything* you read.
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47. Thank you.
simon@ideas.org
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