ITECH7406 Business Intelligence and Data Warehousing
Added on 2020-04-07
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Running head: ITECH7406- Business Intelligence And Data WarehousingITECH7406- Business Intelligence and Data WarehousingName of the StudentName of the UniversityAuthor NoteExecutive summary
1 ITECH7406- BUSINESS INTELLIGENCE AND DATA WAREHOUSINGThis report deals with the compilation and designing for the better understanding ofthe business intelligence. Business intelligence can be defines as the use of differentinfrastructures and application to analyze large sets of data collected from differentlocations to help in the decision making procedure of an organization. The reportcontains the description about the da set that has been used, the descriptiveanalysis of the data set and the prediction of the data set for the future. Accordingly,the dashboards have justified for the implementation and following this a briefrecommendation for the CEO of the organization to make their profit and objectivesbetter and innovative.
2 ITECH7406- BUSINESS INTELLIGENCE AND DATA WAREHOUSINGTable of ContentsIntroduction........................................................................................................3Description of the data set used for the analysis...............................................3Descriptive analysis...........................................................................................3Predictive analysis.............................................................................................3Justification of dashboard usage.......................................................................3Recommendation to the CEO............................................................................3Conclusion.........................................................................................................3References.........................................................................................................4Bibliography.......................................................................................................6
3 ITECH7406- BUSINESS INTELLIGENCE AND DATA WAREHOUSINGIntroductionBusiness intelligence can be defines as the use of different infrastructures andapplication to analyze large sets of data collected from different locations to help inthe decision making procedure of an organization (Shollo & Galliers, 2016). Thefollowing report follows a discussion based on the analyses of a data set made up forthe environmental issues collected from around the world (Basole, 2014) (Kulkarni,Robles-Flores & Popovič, 2017). The report contains the description about the da setthat has been used, the descriptive analysis of the data set and the prediction of thedata set for the future. Accordingly, the dashboards have justified for theimplementation and following this a brief recommendation for the CEO of theorganization to make their profit and objectives better and innovative (Arnott, Lizama& Song, 2017). Description of the data set used for the analysisThe data set that has been used for the implementation of this report hasbeen compiled based on different factors and variables. The data set, which wascollected, was large and was thus trimmed down to a limited number of rows with thefollowing factors in use. CountryPollutantsVariablesYearsAustraliaCanadaFranceGermanyItalyJapanKoreaTurkeyUnited KingdomUnited StatesCarbon MonoxideNitrogen OxidesSulphur OxidesAgricultureCombustionIndustrialcombustionPower stationsRoad Transport20102011201220132014
4 ITECH7406- BUSINESS INTELLIGENCE AND DATA WAREHOUSINGThe above table provides the brief over view of the factors and the variablesthat are present in the data set. The countries have been carefully selected form theworld to make a count of 10. The three major pollutants of the pollution has beenchosen which have the moist effect on the air pollution contribution. The variablesare the location from which the most amount of the gases are released in to the air.The data has been collected for a period of 5 years from 2010 to 2014. Due to thenature of the data set that was chosen the predictive search based on the use ofSAP Predictive Analysis could not be compiled. The prediction on the data seta hasbeen compiled for a period of three future years using the triple exponentialsmoothing technique (Laursen, & Thorlund, 2016).Descriptive analysisThis section contains the descriptive analysis produced for the data set thathas been selected for the completion of this report. The following series of chartsprovides a brief insight about the data set used: Figure 1: Bar chart of Values plotted against Variables
5 ITECH7406- BUSINESS INTELLIGENCE AND DATA WAREHOUSINGThe above chart shows the visualization of the data of the values for all thelocations of the world, which has been selected, and the variables, which are theplaces of the origin of the air pollutants. The lowest amount of pollution creation isfrom the field of agriculture. The maximum amount of air pollutants is created fromthe road traffic from all over the world. This can be due to the high increase in thepopulation of the world the people are starting to use more personal vehicles for theirown usage. This makes the number of vehicles to be increased and thus the amountof pollution from the road traffics. Moreover, the use of the fossil fuels in the vehiclespush the values of this factor to move higher up.Figure 2: Column chart of Values plotted against PollutantsFrom the overall view of the chart it can be seen that the amount of carbonmonoxide the highest amount of pollutant which is there in the air. Carbon monoxideis the highest amount of gas, which is emitted into the air. The lowest amount of air
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