Business Analytics

Theidea of this project is familiarize MBA candidates with the industry and areaof expertise. The project allows the opportunity to address problems oropportunities in various facets of industry domains as well as fields ofinterest (Finance, Marketing and so on). 

Candidateswill be expected to use data to identify the problems or trends and patterns intheir area of interest. The process of identifying patterns or trends would beprimarily based on the use and analytics of data using various tools andtechniques discussed in the class. The candidates should be able to explain thesignificant changes in their data. Here are some techniques/tools : singel & multiple regression, correlation, Dta segregation and Analysis techniques: Averages, Moving Averages, Weighted Averages, Minimum, Maximum, % Change YOY-QOQ-MOM.

1.0  Introduction(~400)

1.1  Introduction

        Discussthe background of the analysis/research

        Explainthe relevance to the industry or company used in the analysis in conjunctionwith the current business environment

        Ina paragraph explain the purpose of the research, the relevance of the problemto the current business environment

1.2  Scopeand Objectives (deliverables)

        Scope:Clarify the scope of the analysis or research

        Objectives:clearly state the objective (similar to a research statement)

2.0  BackgroundResearch/Literature Review (~600-800)

2.1  Business

        Usemore than 3 reputed media articles/opinions

        Thearticles/opinions must be associated with the area of analysis/research andshould be cohesively analyzed

3.0  Methodology(~300)

3.1  Data

        Discussthe data** collected

        Theremust be at least 15 observations **No later than 2010 i.e. last 11 yearsonly For example: Minimum 15 observations 15 weeks, 15 months, 15 quartersand so on.

        Explainhow does it relate to the research/Analysis

        Mentionthe time frames and sources of the data

3.2  Tools/Analytics

        Mentionthe tools and techniques used to analyze the data

        Explainhow it addresses the analysis or research

4.0  Analysis(~1200-1500)

        Alignthis section with 3.2 and explain how the data was analyzed

        Notechanges in tools or methodology (if any)

4.1  Analysis

        Elaboratethe results found in 4.1 and explain how it addresses the objectives

        Explainhow the results are in conjunction to section 2.0

        Graphsand explanation

5.0  Conclusion(~200-300)

        Usesections 2, 3, and 4 and provide conclusive remarks

        Providesolution to the problem along with some empirical evidence

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