Open Access Article SciPap-813
Data Analysis From Area of Strategic Planning
by Miloslava Kašparová 1,* and Marek Pilc 2

1 Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Studenská 84, Pardubice 53210, Czechia

2 , BDO Audit s.r.o., V parku 2316/12, Praha 11-Chodov 148 00, Czechia

* Authors to whom correspondence should be addressed.

Abstract: The text deals with the data analysis from an area of the strategic planning. It focuses on a searching of association rules by the Apriori algorithm. The administrative district of municipalities with extended powers in the Czech Republic were chosen as objects and were described by indicators based on the strategic planning. In the data pre-processing, selected rates of dynamics of the monitored indicators were calculated. Values of the average absolute increase of indicators were converted and were used to the searching of the association rules. Achieved results of three models were compared (e.g. by the support, confidence, rule support, and lift) and described. These models were differed in the way of the association rules searching (i.e. measure of the rule confidence; measure of the confidence difference; and measure of the confidence ratio). The association rules can serve as a support for a preparation of new strategic plans for e.g. municipality, region. Problem areas of the mentioned units could be selected on the basis of the achieved association rules.

Keywords: Analysis, Strategic Planning, Data, Apriori, Association Rules

JEL classification:   C39 - Other,   R58 - Regional Development Planning and Policy

SciPap 2016, 24(2), 813

Received: 30 April 2016 / Accepted: 8 September 2016 / Published: 16 September 2016