Pervasive Business Intelligence Platform to Improve the Quality of Decision Process in Primary and Secondary Education – A Portuguese Case Study - New Contributions in Information Systems and Technologies - page 163

In the Fig. 4 it is possible observe a snapshot of the platform, containing some of
the indicators. All these data can be analysed by student, year and school.

7 Conclusion and Future Work

The work developed has directly contributed to solving the initial problem. With this
work it was possible conclude that the primary and secondary clusters schools can
benefit from the introduction of a PBI. With the PBI the schools can included the
majority of their stakeholders (professors, managers, directors) in their business
intelligence solution. This prototype can take a variety of dashboards using real-time
information about the school performance. In order to evaluate to PBI success should
be done analysis of the influence and effectiveness of the solution at driving schools
performance. This solution is able to:

• Create added value to the schools from real-time outstanding insights,

accessing to the data, anywhere, anytime.

• Provides significant performance results where the dashboards can be used by

anyone who wants to increase the indicators of each domain presented (1-4).

• Improve operational efficiency by uncovering new best practises and driving

those practises from all the schools clusters. With the PBI all schools use the
same BI platform being the information grouped by each one.

• Empower all the stakeholders with dashboards to measure the progress

against strategic corporate goals and KPIs of school cluster (it can be done in
real-time and the schools automatically monitored).

• Send notifications pre-defined by the user to for example alert for the

number of absences by students and professors, a decreasing in the student
grades, an increasing of school quality in terms of performance results and
other changes in dashboards / indicators.

It is important to note that the solution presented can be used by other countries being
only necessary to make some adaptations in the relational model and if necessary create
more indicators having all the characteristic mentioned in the section 2.3.
This project opens new doors at a research level and can be seen as a starting
guideline to implement a PBI in the primary and secondary schools. In the future this
solution should be monitored and the data in failure should be added in order to
improve and complete the PBI solution.

Acknowledgments. This work has been supported by FCT - Fundação para a
Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013..

References

1. Vercellis, S.: Data mining and optimization for decision making. John Wiley & Sons Ltd.
(2009)
2. Cube, Q.: Quantum Cube (2014), http://www.q-cube.net/pdf/Flyer_QCube.
pdf (accessed on December 8, 2014)