SALES PREDICTION AND BUSINESS DECISION MAKING / (Record no. 383326)
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000 -LEADER | |
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fixed length control field | 02555nam a2200229 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | APU |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230625191246.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 190127b2017 xxu||||| |||| 00| 0 eng d |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | PM-31-89 |
100 0# - MAIN ENTRY--PERSONAL NAME | |
Personal name | AUNG PYAE (TP052143) |
9 (RLIN) | 41581 |
245 10 - TITLE STATEMENT | |
Title | SALES PREDICTION AND BUSINESS DECISION MAKING / |
Statement of responsibility, etc | AUNG PYAE. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc | Kuala Lumpur : |
Name of publisher, distributor, etc | Asia Pacific University, |
Date of publication, distribution, etc | 2019. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xiii, 94 pages : |
Other physical details | illustrations ; |
Dimensions | 30 cm. |
502 ## - DISSERTATION NOTE | |
Dissertation note | A thesis submitted in fulfillment of the requirements for the award of the degree of MSc. in Data Science & Business Analytics (UCMF1808DSBA) |
520 ## - SUMMARY, ETC. | |
Summary, etc | The sales prediction performs an important role in every market process and the decision making for sales of products are important to follow the demand of consumers. This research focuses on the study of sales prediction and business decision making for e-commerce retail business with data science research approach. The main goal of research is to perform data science analysis on collected sales data with minimum predictor variables to create advance sales prediction model to forecast future sales performance and identify new business decisions depending on the predicted results and data analysis report. Applying business intelligence, statistical modelling and machine learning are proposed to create intelligent prediction and analytical solution of retail business and optimization methods are also applied to create business decisions. Business decisions are made depending on analysis result using mathematical programming methods to set profitable decisions which can minimize or maximize capital and control the stock with decision results. The research mainly depends on the quantitative study in which statistical modelling techniques are applied using different predictive models and results gained are also in quantitative form. The result of this research is solving additional sales problems in online retail environment using predictable machine learning, statistical data analysis, business intelligence and applied operational research. The case study, methodology and decision are made from point of data science and business analyst view. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Business intelligence. |
9 (RLIN) | 41582 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Predictive analytics. |
9 (RLIN) | 41583 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Marketing |
General subdivision | Decision making. |
9 (RLIN) | 41584 |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Dr. Booma Poolan Marikannan |
Relator term | Supervisor. |
-- | 48425 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://cas.apiit.edu.my/cas/login?service=https://library.apu.edu.my/apres/ |
Link text | Available in APres |
Public note | - Requires login to view full text. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type | Masters Theses |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Use restrictions | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Copy number | Koha item type | Public note |
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Not Withdrawn | Available | Not Damaged | Restricted access | Not for loan | Masters Theses | APU Library | APU Library | Reference Collection | 14/12/2020 | PM-31-89 | 00018451 | 14/12/2020 | 1 | Reference | Available in APres |