Business Analytics was defined as one of the most important aspects of combinations of skills, technologies and practices which scrutinize a corporation’s data and performance to transpire a data driven decision making analysis for a corporation’s future direction and investment plans. In this paper, much of the focus will be given to the predictive analysis which is a branch of business analytics which scrutinize the application of input data, statistical combinations and intelligence machine learning (ML) statistics on predicting the plausibility of a particular event happening, forecast future trends or outcomes utilizing on hand data with the final objective of improving performance of the corporation. Predictive analysis has been gaining much attention in the late 20th century and it has been around for decades, but as technology advances, so does this technique and the techniques include data mining, big data analytics, and prescriptive analytics. Last but not least, the decision tree methodology (DT) which is a supervised simple classification tool for predictive analysis which be fully scrutinized below for applying predictive business analytics and DT in business applications
Zinc silicate (ZnO-SiO 2) glass system were fabricated using melt-quench method with zinc oxide (ZnO) and white rice husk ash (WRHA) with compositions of (ZnO) x (WRHA) 1−x where (x = 0.55, 0.60, 0.65 and 0.70 wt%). Energy Dispersive X-ray Fluorescence (EDXRF), X-ray diffraction (XRD), Fourier Transform Infrared (FTIR) spectroscopy and UV-Visible (UV-Vis) absorption spectroscopy were used to investigate the structural and optical properties of the samples. From XRD measurement, only one sample is glass and others were in crystalline form as WRHA is used to replace silica (SiO 2). This is because WRHA possess nucleating agents in its composition and this causes the samples to be highly crystalline. ZnO in the other hand is a highly crystalline material and encourages the formation of crystalline phase in the samples. FTIR analysis shows that the non-bridging oxygen's (NBO's) are formed as the amount of ZnO in the samples increases. The optical band gap shows that the optical band gap rises due to direct forbidden transition. ZnO-SiO 2 glass system has variety of applicable characteristic because it possesses high level of chemical inertness for variety of chemical applications and it also gives various color emission which can be used in the plasma display panels (PDPs) and cathode-ray phosphor.
Zinc silicate (ZnO-SiO 2) glass was fabricated using melt-quench technique with compositions according to the empirical formula [(ZnO) x (WRHA) 1-x ] which x = 0.50, 0.55, 0.57 wt.%. These glass series acquire zinc oxide (ZnO) and white rice husk ash (WRHA) as silica source with two different melting temperatures of 1450 °C and 1500 °C. Temperature of 1450 °C and 1500 °C were chosen in this study because the lowest melting point of ZnO-SiO 2 were at 1475 °C and by choosing a temperature within the range of 1475 °C a conclusive study on the best melting point using WRHA substituents can be done. Physical, structural and optical characteristics of fabricated glass samples were analyzed using Energy Dispersive X-ray Fluorescence (EDXRF), X-ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR) and UV-vis (UV-vis). Optical band gap of the system was obtained by approaching the optical absorption techniques from the Mott-Davis methods. Results indicate that ZnO-SiO 2 glass samples emerge in favors of direct and indirect forbidden transition and increase in ZnO causes a higher absorption thus resulting in lower band gap. Last but not least, in this study based on the increase of ZnO content, the glass samples which contains a higher amount of ZnO has a higher band gap as Zn 2+ ions reacts as good network modifier in the glass structure and formed a better arrangement and structure compared to system which has less network modifier.
Zinc silicate (ZnO-SiO 2 ) systems were fabricated using zinc oxide (ZnO) and white rice husk ash (WRHA) with compositions of (ZnO) x (WRHA) 1−x ( = 0.55, 0.60, 0.65, and 0.70 wt.%) was symbolized by S1, S2, S3, and S4, respectively. The ZnO-SiO 2 samples were fabricated by applying the melt-quench method and the physical and elastic properties of the samples were investigated. Physical properties used in this study are density and molar volume while the theoretical elastic moduli of the samples produced were obtained using direct calculation of theoretical model compared with the experimental elastic moduli obtained by acquiring ultrasonic velocities using ultrasonic pulse-echo technique. Values of experimental elastic moduli including longitudinal modulus ( ), shear modulus ( ), Young's modulus ( ), bulk modulus ( ), and Poisson's ratio ( ) were compared with theoretical model calculated using Rocherulle's model. All the configurations of the elastic moduli obtained experimentally match very well with the configuration from Rocherulle's model but Poisson's ratio obtained experimentally differs from the values of Poisson's ratio obtained through Rocherulle's model.
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