IT Infrastructure Procurement: Analytics Approach for Effective Decision Making at ICL Netherlands

Syahputra, Abyan Arya (2025) IT Infrastructure Procurement: Analytics Approach for Effective Decision Making at ICL Netherlands. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

This thesis documents the assignment, process, and outcomes of an internship project for the Global Indirect Procurement in PS FM&IT department at ICL Netherlands. The project was conducted by Abyan Arya Syahputra, student at Fontys University of Applied Science, to complete his bachelor’s degree. ICL Group is a leading global specialty minerals and chemicals company that provides a wide range of products and solutions across diverse industries. The PS FM & IT Department, responsible for managing IT infrastructure procurement. Managing procurement efficiently is important to ICL's operations, especially given the complex procurement processes involving multiple suppliers. However, the PS, FM & IT department currently faces challenges in effectively analyzing procurement data and streamlining decision-making processes. To address these challenges, the goal was to assist the PS, FM & IT department in developing a structured approach to optimize procurement processes through data analysis and visualization. The waterfall project management method was selected to guide the project, ensuring a clear defined stages. Each phase followed a sequential order, from initial research and analysis to tool implementation and dashboard development. To align sub-research questions with the project goals, the DOT Framework was used. This helped to structure each research phase and ensure every aspect of the project was addressed with a specific output. The project began with an analysis of ICL current procurement process, focusing on key components such as purchase requisitions (PRs), purchase orders (POs), and goods receipts (GRs). Process mining capabilities were used to map these stages and uncover inefficiencies such as delays in approval and extended delivery periods. Identifying these delays allowed for a more thorough understanding of the procurement lifecycle. In selecting the right tools for data analysis and visualization, the BARC Score methodology then was utilized. This methodology provided a structured approach for evaluating several platforms based on functionality, and cost effectiveness.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Data Visualization, Process Mining, Global Indirect Procurement, IT Infrastructure Procurement, Procurement Process
Subjects:	T Technology > T Technology (General) > T385 Visualization--Technique
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis
Depositing User:	Abyan Arya Syahputra
Date Deposited:	11 Feb 2025 00:45
Last Modified:	11 Feb 2025 00:45
URI:	http://repository.its.ac.id/id/eprint/118604

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