Grau en Enginyeria Informàtica i Administració i Direcció d'Empreses (Doble Grau)
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Treballs finals del doble grau en Enginyeria Informàtica i Administració i Direcció de l'Escola Politècnica Superior [Més informació].
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- ItemOpen AccessDesign and Implementation of a Financial Operations Management System(2024-09) Guasch Llobera, JaumeDisseny i desenvolupament d'una solució per a la gestió d'operacions financeres a través d'una aplicació web. El disseny consisteix en tot el procés des de l'obtenció de requeriments funcionals i no funcionals, la definició dels diferents fluxos de treball fins la modelització de la solució amb les seves corresponents estructures de dades i interaccions amb sistemes externs. La solució està basada en una aplicació web desenvolupada amb Vue.js i Django Framework.
- ItemOpen AccessFrom Data To Decisions, Visualizing Success: A Business Intelligence System For Analysing and Optimizing Marketing Campaigns(2024-05) Baró Noguero, ÀngelThe goal of this project is to design and develop a comprehensive Business Intelligence system for monitoring and analysing various marketing campaigns of a corporation. This entails the creation of a new data structure capable of classifying distinct campaign types, products and customers categories to facilitate in-depth studies of the different marketing campaigns that the company has. A pivotal element of this system is an interactive Power BI dashboard designed for monitoring, tracking and analysing campaigns while compiling crucial data for practical insights. For developing this project are necessary diverse skills and knowledge acquired through the Double Bachelor’s Degree. From the Business Administration and Management perspective is necessary a full understanding of the company operational framework, strategic objectives and marketing methodologies. This includes an in-depth analysis of the different existing marketing campaigns, the application of statistical and mathematical methods for data analysis, and budgetary considerations for the implementation of the desired strategies. The Computer Engineering aspects focuses on the technical implementation, including the analysis of the company’s existing database architecture, the utilization of SQL language for database management, the employment of various ETL (Extract, Transform, Load) methodologies for data integration. This segment also covers the adoption of best practices in BI system development, data modelling, and processing, utilizing a hybrid agile – waterfall methodology for project execution. By integrating these dual perspectives, the project establishes a BI solution that empowers the marketing department to effectively evaluate and refine their campaign strategies facilitating informed decision-making based on comprehensive data analysis.
- ItemOpen AccessIntegration and Analysis of Company Reporting Data: A Business Intelligence Approach to Enhance Economic Activity Insights(2024-05) Torné Enrich, PauFor a company, it is essential to have different reports where commercial and financial data can be analysed. These indicators are called KPIs, and it is crucial that the information they contain is reliable and accurate. The problem in our case consists of several factors, led by the inconsistency of data between reports, which is caused by the different data sources and constantly changing criteria set by the various departments of the company. The proposed solution involves building a new dataset with a standardized criterion that unifies all reporting information and can represent all data of this type, so that all company reports dealing with this data can rely solely on this set. This solution requires knowledge of Computer Engineering such as software engineering and databases. However, it is also essential to understand the company's business model because if we do not understand the commercial and financial structure of a company, we cannot discern what we want and do not want to include. This is why knowledge of Business Administration and Management plays an important role, emphasizing management control and budgeting. The methodology chosen for the project development has been SCRUM, belonging to the AGILE type methodologies, since given the characteristics of the project, it was considered the one that fits best. Thanks to the successful development of this project, the company has been provided with a solution to the previously described problem, providing homogeneity and consistency in the data and including various visualizations in Power BI, according to the analysis to be carried out, also improving efficiency in the company's reporting structure, since a single dataset now feeds numerous reports.
- ItemOpen AccessDevelopment of a voice recognition clocking-in system within the business environment using an Alexa skill(2023-06) Girabet Sala , SergiThis document presents a comprehensive exploration of the integration of a voice clocking-in-in system into SEMIC Group’s business operations, focusing on the development of an Alexa skill capable of recognizing and distinguishing the voice of the workers to facilitate clocking-in. The introduction provides the context and motivation behind the study, along with the objectives to be achieved. The SEMIC Group and its registration system is introduced. The document delves into the business case for implementing a voice clocking-in-in system, analyzing existing clocking-in-in systems and highlighting the potential benefits for SEMIC Group. Voice assistants and their history are examined, emphasizing the fundamental technologies such as artificial intelligence, machine learning, and natural language processing. The impact of voice technology in the market is explored, considering worldwide usage of voice assistants and the implications for consumers and the overall market. The entry of new AI technologies and barriers to voice technology adoption are also discussed. Specifically, the document focuses on the Alexa voice assistant, its functioning, and the Alexa Skill Kit, including voice interaction models and skill development workflows. The integration of the clocking-in API with the Alexa skill is explained, along with the prototype development process and tools used. The cost of implementing the clocking-in-in system is analyzed, taking into account hardware and software costs as well as human costs. Finally, the document concludes with key findings and future perspectives for the integration of voice technology into SEMIC Group's operations. Overall, this document provides a comprehensive analysis of the integration of a voice clocking-in-in system into SEMIC Group, offering insights into the potential benefits, implementation process, and cost considerations.
- ItemOpen AccessFull cycle of creating an application to optimise agricultural harvests(2023-06) Mahdiyan Moussaoui, IlyassThis project consisted of the complete development of a reactive web application adapted to farmers. Both the back-end and front-end were developed, incorporating APIs that provide real-time data. In addition, a comprehensive analysis of micro and macro-environmental factors, along with an in-depth interview, survey, SWOT analysis and marketing plan, was conducted to facilitate the successful commercialisation of the application. In this project, a farmer-specific reactive web application was designed and built, covering both the technical implementation and strategic considerations for its commercialisation. The development of the back-end involved the creation of a robust infrastructure that seamlessly integrates with external APIs, enabling real-time data retrieval. The front-end has been designed to be intuitive and easy to use, making it easy for farmers to access essential information and functions. To ensure the viability of the application and its market readiness, a thorough analysis of the micro and macro-environment has been carried out. This analysis has examined various factors such as market trends, the competitive landscape, regulatory considerations, and target audience preferences. In addition, an in-depth interview with farmers provided valuable information on their specific needs and challenges, which guided the development process and the prioritisation of features. In addition, a comprehensive survey has been conducted to collect quantitative data on the demographics, preferences, and expectations of farmers in relation to the functionalities of the application. This data, together with the findings of the SWOT analysis, helped to define the app's value proposition and strengths. To launch the application on the market, a well-defined marketing plan was developed. This plan encompassed various strategies, such as digital marketing techniques and referral programmes. These strategies aim to raise awareness of the application, attract many users, and make it a reliable and indispensable tool for farmers.