Big data or Thick data: two faces of a coin

Big data or Thick data: two faces of a coin which can be defined as follows. Big data (BIDA) is a term for large or complex data sets that traditional software has difficulties to process. Process generally means for example capture, storage, analysis, curation, searching, sharing, transferring, visualizing, querying, updating, etc. However, the term also often refers to the use of predictive analytics, user behavior analytics or certain other advanced data analytics methods. Analysis of data sets can find new…

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Optimum Risk Estimates, ORE

Optimum Risk Estimates, ORE ORE starts by asking its users to model the systems using a «fractal like» tile modelling tool (we call them jokingly “risk-engineering Lego”) which helps defining external and internal hazards and focuses the user attention to the interdependent performances of each node. ORE value proposition can be summarized as a quantified FMEA with the systematicity of a HAZOP, without the necessity to delve into the smallest components, at first, as ORE analysis/hazard identification is SCALABLE. Within…

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Big data and risk assessment

Big data and risk assessment It all started a few years ago with Google Flu Trends. Looking at correlations between what people were looking for in Google (for example: “flu symptoms”, “bulk Kleenex home delivery”) and the spread of the epidemic. In Google’s own words: “We have found a close relationship between how many people search for flu-related topics and how many people actually have flu symptoms. Of course, not every person who searches for “flu” is actually sick, but…

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