Predictive models with regards to environment

Reference no: EM132307207

Data Analysis Assignment

Learning Outcomes

Purpose: To encourage and provide students on-hands experiences of using SAP or Watson Analytics tools to explore, extract and analyse enterprise data

This is a business analytics project aimed at generating innovative analytics solutions. It will allow students to show innovation and creativity in applying SAP Business Object/Predictive Analytics or Watson Analytics in designing useful visualization solutions and predictive models for different types of analytics problems.

The topic will be on environmental issues. Your main task is to apply any of the analytical tools to develop innovative analytics visualization solutions and predictive models with regards to environment, e.g. climate change, energy consumption, carbon footprint, greenhouse gas emission, pollution dashboard, etc. Besides the suggested datasets/sources, you may apply any other real-world dataset to illustrate your approach (the different datasets can be combined too).

What are the BI reporting solution/dashboards you will need to develop for the Senior Executives of chosen data Set- You must have at least two types of analytics i.e Predictive/prescriptive/ descriptive

Design Mobile application using QSR code for your insights /solutions/dashboard - Please provide your QSR code in your assignment

Justify why these BI reporting solution/dashboards are chosen and why those attributes are present and laid out in the fashion you proposed (feel free to include all other relevant justifications using the academic articles).

Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use 'Snipping tool'), and also include any assumptions that you may have made about the analysis in yourassignment report (i.e. the report to the senior executive team of the company).

Furthermore, the CEO would like to improve the operations. Based on your BI analysis and the insights gained from "Data Set". make some logical recommendations to the CEO. and justify why/how your proposal could enhance company operations, sales etc. Include the relevant screenshots of the BI analysis, and also any assumptions that you may have made about the analysis.

Report is well-written and presented professionally, containing:
• Title page
• Executive Summary (outlining tit scope of report. key findings and recommendations)
• Table of Contents
• Appropriate use of headings within report
• Appropriate use of figures (i.e. graphs, summary tables) and
• References (APA Style)- in text and bibliography (10 articles)

Attachment:- Data Analytic.rar

Reference no: EM132307207

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