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david osimo

bcg.perspectives - Seven Ways to Profit from Big Data as a Business - 0 views

  • The majority of organizations we surveyed prefer to have control over the development of new products and services
  • Companies that commercialize big data on their own have the advantage of economies of scale, control over strategy, and much greater revenue potential.
  • a great deal of existing transactional data that they can capitalize on, and companies with valuable data but not enough of it to make the business viable
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  • such companies sell data to those that lack enough high-quality data of their own for analytical purposes.
  • to a joint venture that the bank set up in 2008 with the data analytics company Quantium, which sells insights from the data to third parties.
  • Grocery retailer Tesco has worked with its Dunnhumby business unit to build a big-data business that analyzes millions of customer transactions and sells the resulting insights about shopping behavior (but not customer-level data) to major manufacturers, including Unilever, Nestlé, and Heinz.
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    "Grocery retailer Tesco has worked with its Dunnhumby business unit to build a big-data business that analyzes millions of customer transactions and sells the resulting insights about shopping behavior (but not customer-level data) to major manufacturers, including Unilever, Nestlé, and Heinz."
david osimo

The Data Economy Manifesto - Wikibon - 0 views

  • artners and competitors alike share data and integrate business processes where the resulting benefits to overall markets, the enterprises themselves and customers outweigh the risks of such collaboration.
  • he majority of net-new value created by the Data Economy will come from enterprises and organizations who create value for themselves, for their partners (and even competitors), for their customers, and for society at large.
  • But the Data Economy refers to much more than any one enterprise or organization making better use of data. Discreet use cases and applications of Big Data must be part of a larger whole. In the Data Economy, entire industries will operate and markets function all through the intelligent use and sharing of data.
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  • Plant-level data from multiple providers can then be integrated an analyzed to better understand regional demand and optimize the performance of the larger energy grid.
david osimo

11 interesting Big Data case studies in Telecom - 0 views

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    Telecom companies are sitting on a gold mine, as they have plenty of data. But what they require is a proper digging and analysis of both structured and unstructured data to get deeper insights into customer behaviour, their service usage patterns, preferences, and interests real-time. Here is where Big Data comes in.
david osimo

Smart farming debate @Digital Europe | CEMA - European Agricultural Machinery - 0 views

  • Collection of data, data protection issues, and  exploitation of data were one of the main topics brought forward in the discussion. The representative of the IT company Gaia Epicheirein explained the cloud platform that they have created in Greece in cooperation with a bank and cooperatives of small producers and retailers.
  • the cooperatives own the data
  • Farmers Weekly Group
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  • the wider adoption only take place among big farms and only 20% of these farms use the technology effectively
  • n this case, farmers own their data and it is up to them to decide whether they want to share it or make it public.
david osimo

Big data and farming - Business Insider - 0 views

  • the real potential is what happens when the data from thousands of tractors on thousands of farms is collected, aggregated, and analyzed in real time.
  • Monsanto says its sensors on harvesting equipment generate about seven gigabytes of data per acre.
  • Some farmers are worried about security and how companies could use and profit off their farms’ data. “A lot of the data we keep track of is sensitive to the farm, and I’m a little concerned if someone else got a hold of it,” Marshall says.
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  • He opts to share his data with small, local groups only.
  • who owns and licenses farmers’ data.
  • Monsanto says farmers benefit most when they allow the company to analyze their data — along with that of other farmers — to help them find the best solutions for each patch of land.
  • We’re not building a business based on housing their data,” says Anthony Osborne, vice president of marketing at The Climate Corporation, a subsidiary of Monsanto.
  • own their data, and it allows them to download or delete all the data that it collects.
  • While contracts with big-data firms are generally a license agreement whereby the farmer retains ownership of the information, most also give the companies free rein to conduct studies and use the data to create highly profitable products.
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