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    Publicado el 4.11.2012 por Equipo GNOSS

    LinkedUp (Linking Web Data for Education project and open competition)

    LinkedUp aims to push forward the exploitation of the vast amounts of public, open data available on the Web, in particular by educational institutions and organizations.

    This will be achieved by identifying and supporting highly innovative large-scale Web information management applications through an open competition (the LinkedUp Challenge) and dedicated evaluation framework.

    The consortium partners and their respectives roles in LinkedUp:

     

    Gottfried Wilhelm Leibniz Universität Hannover: Challenge Initialisation and Development, Project management (consortium lead)
    The Open University: Deployment Support: Data, Guidance, Infrastructure
    Open Knowledge Foundation Network: Dissemination and Community-building
    Elsevier B.V.: Dissemination and Community-building
    The Open Universiteit Nederland: Evaluation
    eXact learning solutions S.p.A.: Exploitation, Exit and Sustainability

     

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    Publicado el 15.6.2011 por Equipo GNOSS

    Big data: The next frontier for innovation, competition, and productivity (© McKinsey & Company, May 2011)

    El análisis de grandes conjuntos de datos se convertirá en un elemento esencial de la competitividad de las empresas, que sustentará las nuevas olas de crecimiento de la productividad y la innovación

    Esta es la principal conclusión de la investigación realizada por MGI and McKinsey's Business Technology Office sobre el estado de los datos digitales y documentos el valor significativo que potencialmente pueden ser desbloqueados.Big data: The next frontier for innovation, competition, and productivity
     

    From Press Release:

    Analyzing large data sets-so called big data-will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus as long as the right policies and enablers are in place.  Research by MGI and McKinsey's Business Technology Office examines the state of digital data and documents the significant value that can potentially be unlocked.

    For example, a retailer using big data to the full could increase its operating margin by more than 60 percent. Harnessing big data in the public sector has enormous potential, too. If US health care were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in value every year. Two-thirds of that would be in the form of reducing US health care expenditure by about 8 percent. In the developed economies of Europe, government administrators could save more than €100 billion ($149 billion) in operational efficiency improvements alone by using big data, not including using big data to reduce fraud and errors and boost the collection of tax revenues. And users of services enabled by personal location data could capture $600 billion in consumer surplus....

    Drawing on detailed analysis of five domains—health care, retailing, the public sector, manufacturing, and personal location data—the research identifies five broadly applicable ways to leverage big data:

    Making big data more accessible in a timely manner. In the public sector, making data more accessible across otherwise separated departments can sharply reduce search and processing time. In manufacturing, integrating data from R&D, engineering, and manufacturing units to enable concurrent engineering can cut time-to-market.

    Using data and experimentation to expose variability and improve performance. As they create and store more transactional data in digital form, organizations can collect more accurate and detailed performance data on everything from product inventories to personnel sick days.

    Segmenting populations to customize actions. Big data allow organizations to create ever-narrower segmentations and to tailor services precisely to meet customer needs. This approach is well-known in marketing and risk management, but can be revolutionary in places like the public sector.

    Replacing and supporting human decision-making with automated algorithms. Sophisticated analytics can substantially improve decision making, minimize risks, and unearth valuable insights that would otherwise remain hidden. Such analytics have applications from tax agencies to retailers.

    Innovating new business models, products, and services. Manufacturers are using data obtained from the use of products to improve the development of the next generation of products, and to create innovative after-sales service offerings. The emergence of real-time location data has created a new set of location-based mobile services from navigation to people tracking.

    + Executive Summary

    + Full report

    + Press Release

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