Will Bigger Data Mean Bigger Problems or Opportunities?

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Matt Keylock, SVP, Media Partnerships, dunnhumby led a panel at Boston's Future M Conference on October 26, 2012. Big data is growing bigger, daily. At the dawn of civilization through 2003, we created 5 exabytes of data. We now create that in 48 hours. And we’ll create 50 times that by 2020. As we multiply data, we also multiply its complexity and the need for people to make sense of it. As new channels and platforms emerge in real-time, how can we keep pace, navigate from customer data to customer knowledge and to an overarching marketing strategy? Will new data sources enable us to add more value for the consumer and in return, more value for the business?

Text of Will Bigger Data Mean Bigger Problems or Opportunities?

  • 1.Will Bigger Data MeanBigger Problems orOpportunities?TALK ABOUT US USING THE EVENT#FUTUREM#BigDataBoston

2. Big Data tidal wave is upon us. But what isBig Data?#BigDataBoston2 3. Digital technologies flood us with data#XXXXXXXXXX 3 4. The amount of data we create is multiplying From dawn of48 hours 48 hours incivilization untilin 20112020 2003#BigDataBoston4 5. As data multiplies, so does its complexity#BigDataBoston 5 6. But, it can also be a problem#BigDataBoston6 7. We know how to use data to keep score7 8. But not very good at knowing customers 9. How can marketers keep pace and plan forthe future? Well discuss: Big Data Today and Tomorrow Competition for Data Consumer Power Impact on Advertising & Media Online Meets Offline The Future of Commerce and Currency The Future of Personalization Common Truths & Principles#XXXXXXXXXX9 10. Discussion leadersMatthew Keylock - Senior Vice Paul Hunter - COOPresident, Media Partnerships, David Spitz - EVP, Business & Rob Holland - General Manager, DLX Platform DevelopmentConsumer Products Dan Salmon - Equity Research Analyst, Advertising & Marketing Services#BigDataBoston 10 11. Tweet your questions to @dunnhumbyPaul Hunter#Data2Knowledge#BigDataBoston@mattkeylock#FutureM@hollandrvh@pdsalmon@David_Spitz#BigDataBoston 11