Corporate Intelligence

Two Methods to Assess Large Volume Data and the Challenges of Measurement

   verti n30 m40  

1. Forecasting any Time Series

2. ‘Visual 3D’
as a new Concept

3. Layering Complex Data

The blue dots are forecasting from the input data without knowing what kind of function it represents. Input can be any time series of multiple or complex applications, with flexibility over chosen time interval. The method will re-present numerical data in a way unique to each set.

This screenshot shows 40 dimensions or vertical layers.

The data points are straight lines to illustrate ‘visual 3D’.

This allows a perspective that is specific for each data set and brings with it a whole host of numerical analysis parameters.

This visualization of CO2 output of 209 countries is made from raw data, before menu options allow for fine tuning the visual analysis.

As data experts add their perception, interpretation and expertise, the system can feedback a new kind of refined intelligence.


Visual and Metric Smartness in Web Portals

Computing power, to handle massive data, is now combined with the human ability to see patterns. This technology is highly disruptive: a combination of pixel accuracy and advances in powerful numerical analysis reduces uncertainties in visual and statistical outputs, resulting in reports for decision support.

Smart web portals using this newly combined power offer a special kind of artificial intelligence which learns from both data and human expertise. Benefits of this new technology are:

1.  Interpretation and classification of massive amounts of data.

2.  Forecasting of short, medium and long term trends.

3.  Providing a better description and quantifications of the quality of products, materials and processes.

4.  Seeing what was previously invisible and to measure what was previously immeasurable.

5.  Combining data from sensors: in production, quality analysis, research or anywhere else.

Examples of the new technology in action:

In INSURANCE: combining climate data with insurance income and claims.

In FINANCE: comparing short-, medium and long-term trends of stock and other prices.

In BUSINESS: combining costs of actual clients with costs of potential clients, i.e. marketing channels.

Corporate Intelligence portals” would combine the experience of staff for strategic and executive decision making, while staff can participate in refining the process of automation and optimisation at their respective user levels.

1 Response to Corporate Intelligence

  1. Fascinating stuff!

    It humbles my N=929 validation study of ability, behaviour and capability assessments that I thought was ‘Big Data’.

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