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020			_aTHE0010038 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aPSM .A37 2023 r Bc.
100	0		_aNur Aishah Mohd Rahim, _eauthor.
245	1	0	_aSupply chain dashboard accelerator (advanced visualization) / _cNur Aishah Bt Mohd Rahim
264		1	_aKuantan Pahang : _bUMPSA, _c2023
264		4	_c© 2023
300			_axiii, 97 pages : _billustrations ; _e1 CD-ROM
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aCenter for Mathematical Sciences
502			_aBachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023
504			_aIncludes bibliographical references
520	3		_aThe 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.
610	2	0	_aCenter for Mathematical Sciences _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aFinal Year Report _xDissertations
942			_2lcc _cPSM