As the popularity of the master’s in data science at Dalarna University increases, so does the number of applicants. The aim of this thesis was to explore different approaches to provide an automated motivation letter scoring system which could emulate the human judgement and automate the process of candidate selection. Several steps such as image processing and text processing were required to enable the authors to retrieve numerous features which could lead to the identification of the factors graded by the program managers. Grammatical based features and Advanced textual features were extracted from the motivation letters followed by the application of Topic Modelling methods to extract the probability of each topics occurring within a motivation letter. Furthermore, correlation analysis was applied to quantify the association between the features and the different factors graded by the program managers, followed by Ordinal Logistic Regression and Random Forest to build models with the most impactful variables. Finally, Naïve Bayes Algorithm, Random Forest and Support Vector Machine were used, first for classification and then for prediction purposes. These results were not promising as the factors were not accurately identified. Nevertheless, the authors suspected that the factors may be strongly related to the highlight of specific topics within a motivation letter which can lead to further research.

PhD (Business Management) / Department of Business Management / Contemporary cloud-based computing is crucial for the efficient delivery of ICT systems to users, as well as for versatile disaster recovery and business continuity management (BCM) platforms. Based on the need for efficient and fault-tolerant port operations, this study proposes a cloud-based business continuity framework (BCM) for the container terminal operations (CTO) in South Africa. The study examined the impact of ICT systems and services on Container Terminal Operations (CTO); determined Critical Business Functions in operations that must stay operational and analysed the impact of the unavailability of ICT systems and services on critical operations. This empirical study employed both quantitative and qualitative research designs and collecting data through self-constructed and self-administered questionnaires and interviews. Quantitative data was analysed using the IBM Statistical Package of Social Science (SPSS) Version 23 while qualitative data was analysed through thematic analysis of interviews. Results show that to realize effective organizational resilience using BCM, three insights, as underlying mechanisms for assimilating cloud computing in BCM can be inferred: the first is that a digitalized BCM architecture ‘fits’ the cloud computing model. The specific BCM characteristics that befits cloud computing are continuous data processing; continuous data access and delivery; multi-platform data access; always – on ICT Services; and better decision making. Secondly, the cloud computing model is a ‘viable’ model that can contribute to managing complex organizations characterized by business units that are highly differentiated in terms of size, structure, ICT and investment levels. For such complex organizations, viability is visible in terms of how the multi-units can harness collective intelligence (CI) for more effective BCM. Collective intelligence, as a form of universally distributed intelligence that is constantly enhanced, coordinated in real time, and which results in effective mobilization of organizational competence, is a core organizing metaphor for achieving BCM in a complex organization. Lastly, to realize BCM, underpinned by greater digitalization of BCM and harnessing of CI; there is need for rethinking strategy towards adoption of an ‘Intelliport strategy’ or ‘smart’ BCM for ports, currently intertwined with the notion of the 4IR. That the ‘smart’ nature of BCM require the assimilation of 4IR technologies that enable ubiquitous presence and real time information regarding organizational processes. Adopting an ‘Intelliport strategy’ is likely to have two main implications for BCM and practice: the first is linked to the development of a circular economy, in which aggregation of BCM activities can enhance sustainable development of the seaports; and secondly, adoption of a cloud computing model that can result in the enhancement of business growth of the units promote collaborative problem solving and decision making in BCM. / NRF

This thesis study evaluates access to care at an internal medicine unit with solely semi-private rooms at Baystate Medical Center (BMC). Patients are divided into two types: Type I patient consumes one bed; Type II patient occupies two beds or an entire semi-private room as a private space for clinical reasons, resulting in one empty but unavailable (blocked) bed per Type II patient. Because little data is available on blocked beds and Type II patients, unit-level hospital bed planning studies that consider blocked beds have been lacking. This thesis study bridges that gap by building a single-stream and a two-stream discrete micro-simulation model in Excel VBA to describe unit-level bed queue dynamics at hourly granularity in the next 48-hour time horizon, using historical arrival rates and census-dependent discharge rates, supplemented with qualitative results on complexity of patient-level discharge prediction. Results showed that while we increase additional semiprivate beds, there was notable difference between the traditional single-stream model and the two-stream model concerning improvement in bed queue size. Possible directions for future research include patient-level discharge prediction considering both clinical and nonclinical milestones, and strategic redesign of hospital unit(s) considering overflows and internal transfers.

The diploma thesis focuses on the creation of a business plan in the field of construction of an operational building, which is used for renting free space, for storage and for setting up a locksmith and metalworking workshop. The thesis contains a theoretical description of the business plan and the necessary analyzes. The practical part focuses on the business plan itself consisting of the construction of a new building and the transfer of existing locksmiths' production into their own business premises and the extension of the offered services of metalworking. In conclusion, the business plan is assessed, considering its feasibility under realistic conditions and determining the point of reversal in the implementation of the business plan.

The diploma thesis focuses on the analysis of the current state of reporting and data analysis of the ALVAO Service Desk system in the company's internal operation. Based on the findings of deficiencies, a new method of reporting and data analysis on the Microsoft Power BI platform is proposed. The proposal includes the entire Power BI feature cycle from data accessing to sharing.

En la actualidad, entender la experiencia del cliente en sus canales digitales se ha vuelto un reto para los analistas y alta gerencia del sector retail, al ser un mercado con crecimiento anual se necesita brindar una buena experiencia en todos los medios digitales lo cual debe ser medible para establecer objetivos y toma de decisiones a nivel estratégico. La captura y análisis de la información de la experiencia del cliente en el sector retail, aún es un reto para las empresas peruanas ya que la mayoría realiza el esfuerzo en la captura o análisis de la información, cuando deben combinar ambas para un mejor resultado. Los antecedentes mencionados anteriormente, implica que las empresas del sector retail no aprovechan la experiencia de los clientes en los canales digitales, al no contar con herramientas y metodologías adecuadas para la medición de la experiencia. Por eso se recomienda utilizar la metodología del Customer Journey que nos ayuda a medir dicha experiencia y entender al cliente en todo el proceso de interacción con los distintos canales digitales de la empresa. El proyecto propone un modelo tecnológico, que utiliza la metodología del Customer Journey que contiene las siguientes fases (conciencia, consideración, compra, uso y fidelización). El modelo permite capturar la información de los canales digitales de las distintas fases, evaluar la información mediante los indicadores establecidos y visualizar los reportes mediante un dashboard, con la finalidad de tomar decisiones para mejorar la experiencia del cliente y fidelizarlo. A través de la evaluación se da seguimiento del proceso de pre-compra, compra y post-compra. También se realizó un análisis de herramientas de TI que den soporte al modelo propuesto, y pueda ser implementado en una empresa del sector retail considerando los distintos canales de contacto digital. El modelo se implementó en una empresa del sector retail, luego de 4 meses se identificó un incremento en las compras y en la fidelización de los clientes. / At present, understanding the customer experience in its digital channels has become a challenge for analysts and senior management of the retail sector, as it is a market with annual growth, it is necessary to provide a good experience in all digital media, which should be measurable to set objectives and make decisions at the strategic level. Capturing and analyzing information about customer experience in the retail sector is still a challenge for Peruvian companies since most focus their efforts on capturing or analyzing information, without combining both. The aforementioned background implies that companies in the retail sector do not take advantage of customer experience in digital channels, as they do not have adequate tools and methodologies for measuring experience. That is why it is recommended to use the Customer Journey methodology that helps us measure this experience and understand the customer throughout the interaction process with the different digital channels of the company. The project proposes a technological model, which uses the Customer Journey methodology that contains the following phases (awareness, consideration, purchase, use and loyalty). The model allows you to capture the information from the digital channels of the different phases, evaluate the information through the established indicators and view the reports through a dashboard, in order to make decisions to improve the customer experience and retain them. Through the evaluation, the pre-purchase, purchase and post-purchase process is monitored. An analysis of IT tools that support the proposed model was also carried out, and can be implemented in a company in the retail sector considering the different digital contact channels. The model was implemented in a company in the retail sector, after 4 months an increase in purchases and customer loyalty was identified. / Tesis

This diploma thesis proposes the use of business intelligence working above complex economic system in a real joint-stock company for planning, cost management of cost centers and job orders and for control of managerial accounting in relation between cost centers and job orders. Furthermore thesis resolves the problems of data transition to the new information system to ensure the complexity of data entry to business intelligence.

Scope of this master’s thesis contains agile data warehouse design. It begins with a brief demonstration of data warehouse issues, shows the architectures dimensional data warehouse, corporate information factory and data vault. Furthermore, the thesis introduces agile methodologies suitable for data warehouses. Main part of this thesis focuses on the data warehouse design and development in Kentico Software s.r.o. using the modelstorming, shows implementation of universal ETL process for loading dimensional data warehouse, designs ETL processes, data warehouse storage and presentation layer. In the end, the thesis discusses future extensions to the data warehouse such as knowledge discovery module or large-scale data expansion.

The diploma thesis deals with migration of SAP Business Warehouse system to the new in-memory technology SAP HANA. Theoretical basis defines basic terms, usage in-memory technology in Business Intelligence and migration options. In the practical part, the best option of migration and best practices for the company was designed.

The target of the thesis is to propose an appropriate information system that ensures the implementation of the business strategy for the garden division of the company AGRO CS a.s. Specifically it targets evaluating the use of enterprise information systems and the application of business intelligence according to the information base describing the company's business strategy. The thesis is divided into three parts. The first one is the theoretical part that outlines the methods used for analysing the business strategy and the theory background about business strategy itself. It also contains information system theory. The second part, the analysis part, presents the company and is based on the theoretical part. It also implements methods used for analysing the business strategy and analysing the appropriateness of the use of EIS systems or business intelligence applications. In the last part, the proposal part, an appropriate EIS or BI system is chosen based on consultations, requirements and targets that are the outcome of the previous part.