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MIS781 Business Intelligence and Report for Social Enterprise

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Added on  2020-02-19

MIS781 Business Intelligence and Report for Social Enterprise

   Added on 2020-02-19

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MIS781 Business IntelligenceBusiness Intelligence Solution Development and Report for SocialEnterpriseName of the studentName of the UniversityAuthor Note
MIS781 Business Intelligence and Report for Social Enterprise_1
Table of ContentsIntroduction......................................................................................................................................3Objective of BI solution...................................................................................................................3BI Dashboards.................................................................................................................................5Predictive Models..........................................................................................................................12Benefits of BI solutions.................................................................................................................13Conclusion.....................................................................................................................................14Reference.......................................................................................................................................15
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IntroductionBusiness Intelligence is programming framework intended to get the Business Values from aBusiness and basically, it is no intended to execute the real business and related exercises likecost figure, generation administration and so forth (Kumar, Morstatter and Liu, 2014, p. 25). Itsprosperity relies upon different components like satisfaction of client necessities, clientencounter and adaptability of the arrangement, force of BI-Savvy methodology at administrationlevel and the authoritative IT strategies made for the reception BI framework. It is important totake after the accepted procedures and rules made by an individual or a counseling association tomake the BI activity a major accomplishment with sensationalized ROI (Laursen and Thorlund,2016, p. 123). With ordinary associations no matter how you look at it are digitizing the data.This data might be caught in various framework and arrangements. Business Intelligence (BI)speaks to a corporate activity to move from static representation of information to a moreexamination, dynamic and self-administration driven type of detailing. A successful Informationtechnique, and Business Intelligence arrangement is ending up progressively fundamental forcompelling basic leadership in the current scenario (Kambatla et al. 2014, p. 87). BusinessIntelligence is tied in with appearing well and good out of the colossal wellsprings ofinformation inside the organization and changing over them to significant data that can beutilized to settle on shrewd business choices.There are several BI tools available that enables mangers to visualize information in a moremethodical way and therefore business decision making becomes comparatively easier. This isnot only applicable for business purpose. In modern day, application of BI enables socialenterprises to understand historical records effectively (Kimball et al. 2015, p. 12). Thisparticular study has considered air quality information as one of the significant environmentalissue and prepared a set of dashboards to analyze the aspect clearly. Objective of BI solutionIn order to visualize the air quality data, the analyst has used IBM Watson analytics tool. Thestudy has been performed considering the G20 nations. The data is comprised of 16 variables,which are as follows:
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Sl.no. Property Definition 1 Air Pollution PM2.5 air pollution, population exposed to levels exceedingWHO guideline value (% of total)2 CO2 Emissions CO2 emissions (kt)3 Electric Power Use Electric power consumption (kWh per capita)4 Electricity Access Access to electricity (% of population)5 Energy Intensity Energy intensity level of primary energy (MJ/$2011 PPPGDP)6 Energy Use Energy use (kg of oil equivalent per capita)7 Forest Area Forest area (% of land area)8 Fossil Fuel Fossil fuel energy consumption (% of total)9 Fresh Water Annual freshwater withdrawals, total (% of internalresources)10 Greenhouse Gases Total greenhouse gas emissions (kt of CO2 equivalent)11 Methane Emissions Methane emissions (kt of CO2 equivalent)12 Nitrous OxideEmissions Nitrous oxide emissions (thousand metric tons of CO2equivalent)13 Non-Solid FuelAccess Access to non-solid fuel (% of population)14Nuclear Energy Alternative and nuclear energy (% of total energy use)15 Renewable ElectricityRenewable electricity output (% of total electricity output)16 Renewable EnergyUse Renewable energy consumption (% of total final energyconsumption)AssumptionsIn order to perform this study, the analyst has considered below mentioned assumptions:The study is mainly limited to G20 nations only;All the dashboard were designed based on latest available information; Only air pollution and associated aspects were taken into consideration. Otherenvironmental issues were overlooked to narrow done the research area.
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