Data Analytics Research Project: Enhancing E-commerce Performance Through Predictive Modeling

ICT706
Data Analytics
Assignment Task 2
Research Project

Executive Summary
This project is for an E-commerce company which is market leader provide various kinds of products.
Nowadays compete with the market is not an easy task so, this organisation want to grow and
compete with the market and to enhance this company hires a data scientist who analyse the sale of
company, provide business analytics to grow their business and analyse the product segments in
various geographic regions.
The aim of this document is to find the solution by giving business analytics which might be affect the
performance of organisation which is decreasing on daily basis. The data scientist analysing the
company’s sale for each product domain through dataset which contains attributes of organisations
product. For analysing the product attributes, a dataset is composed which contain at least 1000
products which will help to analyse.
1

Table of Contents
Assumptions Made..................................................................................................................................4
Introduction..............................................................................................................................................5
Research Methodology............................................................................................................................6
Quantitative Research..........................................................................................................................6
Qualitative Research............................................................................................................................6
Analytical Findings..................................................................................................................................7
Data mining..........................................................................................................................................7
Data clustering.....................................................................................................................................8
Predictions after result.........................................................................................................................9
Predictive Modelling..........................................................................................................................10
Implemented Code:............................................................................................................................13
Recommendations from analysis:..........................................................................................................15
First Recommendation.......................................................................................................................15
Second Recommendation..................................................................................................................15
Third recommendation.......................................................................................................................15
Fourth Recommendation....................................................................................................................15
Recommendation for the company........................................................................................................16
Implementation plan for the recommendations.....................................................................................16
Conclusion.............................................................................................................................................17
Appendix................................................................................................................................................18
List of Figures
Figure 1: Toys Dataset.............................................................................................................................8
Figure 2: Linear Regression Graph........................................................................................................10
Figure 3: Polynomial Regression...........................................................................................................11
Figure 4: Final Regression.....................................................................................................................12
Figure 5: Code for Regression...............................................................................................................13
Figure 6: Histogram generation Function..............................................................................................14
Figure 7: Test and Training Data...........................................................................................................14
2

Assumptions Made
There are some assumptions made for analyse the performance to accomplish better result as follows:
1. A toys Dataset is produced for analysing
2. Dataset composed on the basis of products attributes for Toys
3. Dataset comprise of different geographic regions where items are delivered through
organisation
4. Various product attributes are included in dataset
5. Delivery department delivers the products provided by organisation
3