Veiklos analizavimas bei sprendimų priėmimas labai svarbus šiandieninėje įmonių veikloje. Norėdamos atlikti veiklos statistinę analizę, įmonės perka brangius ir sudėtingus produktus nesigilindamos apie tų produktų nauda įmonės veikloje. Vienas iš sprendimo būdų kaip efektyviai atlikti statistinę duomenų analizę neinvestuojant didelių resursų – naudoti standartines DBVS statistines priemones. Šiomis priemonėmis įmonės gali atlikti įvairią statistinę analizę kasdienėje veikloje naudojant statistinės analizės metodus: linijinę regresiją, koreliacijos analizę, nuspėjamąją duomenų analitika, Pareto analitika, Chi kvadrato analitika, ANOVA. / This work reviews advantages and disadvantages of existing statistical analysis tools usage for small and mid sized enterprises, explores usage of statistical analysis of enterprise data in data warehouse, reviews integrated statistical analysis functions in existing database management systems and integrated graphical software for graphical statistical analysis usage. In this work were analyzed Oracle, Microsoft SQL Server and DB2 DBMS. The new statistical analysis solution was offered. This solution allows statistical analysis of existing data using integrated statistical functions of the database management systems and integrated graphical tool. Proposed solution has been designed and realized for the statistical analysis of insurance company‘s data. Oracle DBMS was selected for statistical analysis, because this DBMS is used by insurance company. Oracle has a large number of integrated statistical analysis functions; it ensures more diverse and rapid analysis. Graphic depiction of the selected Oracle Discoverer tool to optimally exploit data analysis potential of Oracle DBMS. The proposed statistical analysis process is versatile and suitable for different business areas and can be applied to other DBMS, which has an integrated analytical functions and graphical tools for the results display.

Coronary arteries stenosis causes ischemic heart disease which is the main fatality reason all over the world. For diagnosis arteries stenosis invasive and noninvasive methods are used. These methods are quite expensive and not all medical institutions can carry out such tests. Analysis of electrocardiogram could be one of the cheapest and current methods to diagnose arteries stenosis. Despite the fact, that in some cases such analysis is not very informative, medics look for the informative ECG parameters and their combinations in order to predict stenosis. The goal of this work is to create statistical methods and software for prognosis of coronary arteries stenosis using digital ECG parameters. Data was colecet and prepared for this reseach in Clinic of Cardiology of Kaunas Medical University. In this work are presented: 1.Statistical analysis models for prognosis of coronary arteries stenosis. 2.Software for uses. 3.Comparative analysis of statistical analysis models. 4.Results of real data analysis, which were obtained by using, developed statistical models and software. Obtained results will be used to improve methods of diagnosis ischemic heart disease and arteries stenosis in Clinic of Cardiology of Kaunas Medical University.