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most recent information. It is important to highlight
the dynamism of the cube as it supports the
continuous inclusion of new measures and
dimensions.
Among the main benefits of this framework is the
fact that the indicators are directly linked to the social
measures, so that it is possible to easily identify the
origin of the values of these indicators. On the other
hand, the fact that the indicators are also semantic
data, makes it possible to apply validation techniques
during their definition and derivation.
As future work will be studied the automatic
creation of descriptions and queries associated with
the calculation of social indicators, as well as the
discovery of appropriate metrics to evaluate strategic
objectives of the organization. Due to the dynamism
of the cubes, the volume and fluctuating character of
the data, makes it impracticable to store historical
data, so it is necessary to establish the appropriate
mechanisms to find the right time window to apply
predictive algorithms and compare measurement
trends.
ACKNOWLEDGEMENTS
This work has been financed by the Ministry of
Economy and Trade with the project of the National
R&D Plan with contract number TIN2017-88805-R.
We also have the support of the Universitat Jaume I
pre-doctoral scholarship programme
(PREDOC/2017/28).
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