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Implementation of a new reporting process in a group x
Sara Črešnik, 2021, master's thesis

Abstract: Reporting is present in every company. Whether it is small or big, it cannot be avoided. It plays a crucial role in the process and progress of business. The quality of reporting affects the development of the work environment and the company. Since business report is a document that contains business information, which supports the decisions about the future-oriented business decisions, it is very important for it to be designed in such a way that it contains the key information for the recipient and provides support for business decisions. The reporting process can take place horizontally upwards or downwards. Content and structure vary depending on the recipient of the report. We live in an age when our every step is accompanied by digitization, computerization, artificial intelligence, mass data, the Internet of Things, machine learning, and robotics. These changes have also affected the reporting process as well as its processes. The processes of data acquisition, processing and sharing have changed. Furthermore, the data quantity has increased, whereas the speed of the time in which to prepare the reports has decreased. We can have data without information, but we cannot have information without data. There is never enough time, especially nowadays when we are used to having everything at our fingertips. These are two conflicting factors – having more data and less time to prepare quality reports. The systems are developed to optimize the process, increase efficiency and quality and, what is nowadays most important, they have been created to obtain mass data in the shortest possible time. Therefore, it is important to adapt and implement software that can help achieve our daily tasks. We must know how to process huge amounts of real-time data and deliver the information they contain. It is crucial for companies to keep up with the environment and implement changes and innovations into their business process. A company is like a living organism for it must constantly evolve and grow. As soon as it stops growing and evolving, it can fail because it starts lagging and is therefore no longer competitive to others. To deliver faster feedback, companies need data of better quality. There are tools that can improve the business process, better facilitating the capacity of the human agents. The goal is to harness the employees’ full potential and knowledge for important tasks, such as analyzing, reviewing, and understanding data and acting upon them, invoking information technology to automate repetitive processes and facilitate better communication. The focus in this master’s thesis is on the reporting process in Group X. Group X is one of the world leaders in the automotive industry, a multinational corporation based in Canada with subsidiaries around the world. The complexity of the business reporting that is implemented for the Headquarters in Canada has to address the complexity of the multinational corporation to support the decision process. The aim of the thesis is to propose a reporting process for preparing and producing reports with a huge amount of data in a very time-efficient manner. We start by examining the existing processes and upon that, identifying the processes required for the reports to reach the final recipients. Our goal is to identify the toolset, which would increase efficiency, accuracy, credibility, and reduce errors in the fastest possible time. We investigate a short-term and a long-term solution. By a short-term solution, we mean a system, program, or a tool that can help us increase our potential by using digital resources, which are already existing in the organization. By a long-term solution, we mean a solution, which requires employment of specialized future tools in the field of reporting and in repetitive processes, which we can identify with current knowledge and expectations for development. This includes machine learning, robotic process automatization, artificial intelligence.
Keywords: Consolidated reporting, reporting process, robotic process automatization, business intelligence, artificial intelligence, machine learning, SharePoint, Big Data, digital transformation, electronic data interchange.
Published in DKUM: 01.09.2021; Views: 812; Downloads: 3
.pdf Full text (1,71 MB)

Primerjava platform za vzpostavitev spletne trgovine
Sara Črešnik, 2018, undergraduate thesis

Abstract: V diplomskem projektu Primerjava platform za vzpostavitev spletne trgovine smo se osredotočili na tri osnovne tematike – spletne trgovine in platformi, ki smo ju primerjali, torej Wix in Shopify. Spletno nakupovanje je postalo del našega vsakdanjika. Razlogov za to je več. Ljubša nam je ideja, da opravimo nakup, ne da bi za to porabili ure in ure v gneči, trgovinah polnih ljudi, kjer je premalo prodajalk. Raje opravimo nakup preko spleta, med nakupom smo v udobju svojega doma, hkrati pa lahko počnemo več različnih stvari. Porast tega trenda je tudi posledica razvoja tehnologije. Splet nam dandanes omogoča ogromno informacij, ki so nam na voljo v vsakem trenutku, povsod po svetu ... Trgovci so ugotovili, kako bi lahko to možnost dostopa od kjerkoli izkoristili. Vzpostavili so spletne trgovine, ki so revolucionirale nakupovanje in ga spremenile za vedno. Ta trend še samo raste. Zaradi porasta spletnega trgovanja in velikega povpraševanja po teh, ki bi lahko izdelali spletno trgovino, so ugotovili, da lahko stvari mnogo olajšajo. Omogočili so platforme, ki so baza za vzpostavitev popolnoma delujoče trgovine. Platforme so olajšale zadevo in omogočile vsakemu, tudi laiku, da ustvari svoje spletno mesto in začne s poslovanjem. Ker je na voljo ogromno platform, ki to omogočajo, s podobnimi funkcijami, smo naredili primerjavo lastnosti, funkcionalnosti, prednosti in slabosti dveh izbranih.
Keywords: spletna trgovina, spletno nakupovanje, platforma, primerjava
Published in DKUM: 25.10.2018; Views: 1905; Downloads: 362
.pdf Full text (1,83 MB)

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