I need to do assignment 1. It means I need to do presentation with speaker notes. Speaker notes must be your own words. Please don't copy and paste from the presentation slides. We cannot read the...

PowerPoint Presentation
MITS6002 BUSINESS ANALYTICS
Mention Member Name
Please add the name of Presenters
1
CONTENTS
1) INTRODUCTION
2) DATA DESCRIPTION
3) VISUALIZATION & INSIGHTS
4) CONCLUSION
5) REFERENCES
Greetings !!
Here is the list of contents I have captured in the upcoming slides.
I will start with the Introduction
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1. INTRODUCTION
DOMAIN SELECTED
Manufacturing – Financial & Operational Efficiency
OBJECTIVE
The purpose of the assignment is to understand the importance of Analytics in handling large data sets. There are lot many Business Analytics tools available to handle large datasets. We are considering Tableau for our further analysis
TABLEAU
Tableau is a powerful data visualization tool used in the Data Analytics and Business Intelligence Industry
SAMPLE DASHBOARD
The basic purpose to carry out this activity is to understand handling the big data.
There are lot many BI tools available to understand & analyse the big data, however, I have considered Tableau software for my details study
Here is the snap shot of sample dashboards output from Tableau. To understand our objective in details, I have considered the dataset of a manufacturing organization. I shall be analysing the whole dataset through Tableau to understand the Financial & Operational efficiency
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2 DATA DESCRIPTION
SUMMARY
Analytics in manufacturing is one of the emergent verticals adopted by most of the leading Industries across the sector. It has empowered the firms to identify the leakages in transaction & to do future predictions for Financial growth of any organization
SAMPLE IMAGE OF DATASET CONSIDERED
We all are witnessing Industrialization 4.0 & the major manufacturing sector is adopting various analytics tool to understand their transactional data & further bringing their leakages onto the surface. The objective behind this is to improve the overall Financial & Operational efficiency
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2 DATA DESCRIPTION
    VARIABLE    DESCRIPTION    DATA TYPE
    PO #    Purchase Order ID    Nominal
    Location    Location     Nominal
    Item    Items purchased for Purchase Order ID    Nominal
    Description    Description    Nominal
    Item Quantity    Number of Quantity purchased    Numeric
    Unit Cost    Unist cost of Item    Numeric
    Total Amount    Total amount of goods purchased    Numeric
    Vendor #    Vendor ID    Nominal
    Creator ID    Creator     Nominal
    Creation Date    Date on which Puchase Order is created    Date
    Creation Time    Time Puchase Order is created    Time
    Approver ID    Approver ID of the Purchase Order    Nominal
    Approver Date    Approved date of the Purchase Order    Date
    Approver Time    Approved Time of the Purchase Order    Time
Since we have considered the manufacturing dataset, it is necessary to understand the variables, its significance & data type before moving to next step.
Pls see the variables considered in the analysis (Read the variables one by one along with the data type)...