TY  - MANSCPT
AU  - Nur Aishah Mohd Rahim,
TI  - Supply chain dashboard accelerator (advanced visualization)
SN  - THE0010038 (Local)
PY  - 2023///
CY  - Kuantan Pahang
PB  - UMPSA
KW  - Center for Mathematical Sciences
KW  - Dissertations
KW  - Universities and colleges
KW  - Final Year Report
N1  - Center for Mathematical Sciences; Bachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023; Includes bibliographical references
N2  - The supply chain is the flow of products and services provided by the company  to customers and suppliers from raw materials to the final products. Precisely,  procurement is the main part in the supply chain that helps businesses to achieve their  objectives especially in expenditure. However, only looking at the procurement dataset  will not give an understanding of information for the businesses. Inability to identify the  groups that impact spending in procurement also give some challenges to the businesses.  Lastly, there are always problems that need to be solved in order to achieve the objectives  of the businesses. Hence, this research aims to give better insight regarding the  procurement to the businesses in order to enhance and improve the company. Therefore,  the first aim is creating an informative dashboard regarding the procurement in supply  chain. The goal of the procurement dashboard is to give better insight into the businesses.  Thus, businesses are able to predict and achieve their goals to improve their company. Next aim that needs to be achieve is to cluster the spending in the procurement by using  machine learning models which are DBSCAN and K-Means. In order to analyze the  procurement analytics, spending is the key to improve procurement. K-Means has a  higher accuracy in fitting the model compared to DBSCAN. K-Means give the best result  in clustering the spending in procurement. Hence, by clustering spending, businesses are  able to suggest the best recommendations based on the insight of dashboards to improve  spending which will be the last objective that need to be achieved. Through this research,  businesses are able to suggest better solutions for supply chain problems for the  company’s growth
ER  -