Sirvi Autor "Milani, Fredrik Payman, juhendaja" järgi

Nüüd näidatakse 1 - 20 30

A Blockchain Solution for Auditing of Timber-to-Charcoal Process
(Tartu Ülikool, 2021) Zubair, Muhammad; Iqbal, Mubashar, juhendaja; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Blockchain technology is emerging not only in cryptocurrencies like bitcoin and ethereum but also expanding in other business fields. Due to its diverse nature of architecture, it can easily integrate with such environments, e.g., permissioned or permissionless, state-full or stateless. This article mainly focuses on permissioned blockchain, the hyperledger fabric, how to implement it, and how to use it to automate the audit to the timber-tocharcoal business process. In order to accomplish this study, a design science approach is selected. In this thesis, a timber-to-charcoal case study is analyzed, designed the software architecture, developed the solution using hyperledger fabric, tested and evaluated it with defined evaluation criteria. The technology stack to develop the smart contract and web services to invoke the chaincode and access the ledger is NodeJs. The final evaluation shows that hyperledger fabric is a secure, fast, and decentralized immutable ledger. In conclusion, it is a suitable approach and benefits the audit to timber-to-charcoal business process.
A Systematic Literature Review on Business Rule Modeling
(Tartu Ülikool, 2020) Abubakar, Fodio Tureta; Maggi, Fabrizio Maria, juhendaja; Milani, Fredrik Payman, juhendaja; Sarini, Marcelo, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Business processes are constantly evolving and the ways in which processes are managed are also evolving. To keep track of, modify, and manage business processes, business owners are looking for ways to organize their business processes in a way that they are easy to manage. Beyond that, there is also the need to not just manage those processes but also to manage the rules upon which those processes are executed. The business rules that govern an organization's policies are, in most cases, written as documents within the organization’s files. To make it easier to choose alternative languages to model those rules that regulate business processes, this paper presents a Systematic Literature Review (SLR) on how business rules can be modeled. We looked at the different notations that can be used to model business rules. We also looked at how they can be incorporated within the business processes. We then provide a list of tools that help to model, verify, and execute business process models enhanced with business rules. To identify these characteristics, we conducted an SLR and built a framework for classifying existing notations to model business rules.
Case Study: Blockchain and E-prescription Process
(Tartu Ülikool, 2020) Liba, Martin Johannes; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Healthcare is an industry that highly values security, privacy and accessibility of data between patients and healthcare service providers. Prescriptions are an important part of healthcare services that enable patients to get medicine required for their treatment. About a decade ago, prescriptions were mostly handwritten on paper, today most countries use some form of e-prescription systems. E-prescriptions solved many problems that paper prescriptions had, for example pharmacists correctly not understanding what is written on the prescription and dispensing wrong medicine. E-prescription systems still have problems like lack of interoperability between providers and data security and fragmentation issues. Blockchain is one of the new emerging technologies that enables to securely store data using shared ledger, communicate the data between participants of the blockchain network, perform computational tasks via smart contracts and manage assets. These characteristics have potential to impact healthcare sector including e-prescription process. The thesis investigates how Estonian e-prescription process could be redesigned using blockchain technology. For that a case study is conducted to examine the Estonian as-is state of the e-prescription process and propose redesign based on blockchain technology. During the case study, systematic literature review was conducted on the subject to discover blockchain based redesign opportunities. In addition, redesign heuristics were applied on the as-is model. The results of the case study showed that using blockchain as the underlying technology is possible in Estonian case, but it would no bring significant value compared to existing process and Estonia has solved issues that blockchain can improve using different technologies.
Compliance by Design for Robo Advisors: A Case Study of SEB Robo Advisor
(Tartu Ülikool, 2024) Moskalenko, Veronika; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Käesolevas töös vaadeldakse kasutajakeskse disaini, regulatiivse vastavuse ja andmete privaatsuse lõikumist finantstehnoloogia sektoris, keskendudes SEB robonõustaja teekonna optimeerimisele vastavuse põhimõtete kaudu, kasutades juhtumiuuringu metoodikat, et uurida selle keerulise teemaga kaasnevaid väljakutseid ja võimalusi. SEB robonõustajate analüüs on eeskujuks laiematele haldusküsimustele ning selle eesmärk on tuletada praktilisi teadmisi teooriast ja praktikast. Narratiivipõhise analüüsi ja sidusrühmade kaasamise kaudu aitab projekt kaasa käimasolevale arutelule kasutajakeskse disaini üle finantstehnoloogias, mille eesmärk on parandada kasutajakogemust, tagades samal ajal õigusnormide täitmise.
Customer Centricity Assessment Tool for Digital Business Processes
(Tartu Ülikool, 2025) Samadova, Gular; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The digital-first economy has positioned user experience (UX) and customer expectations as critical product design and service delivery determinants. While digital products have evolved rapidly to meet these demands, the underlying business processes that enable them often remain internally focused, optimised primarily for efficiency rather than user satisfaction. Business Process Management (BPM) as a discipline has traditionally prioritised cost reduction, standardisation, and automation, offering limited support for evaluating customer-centricity within digital workflows. This thesis addresses the emerging need to evaluate the customer-centricity of digital processes. It develops a structured assessment framework to support product owners and managers in identifying to what extent their digital product’s underlying processes empower users, provide real-time feedback, and adapt to individual needs. The framework is grounded in a systematic literature review on customer-centric BPM and UX-related process features, emphasising the proposed design heuristics. From academic and industry sources, the study translates theoretical principles into practical evaluation criteria organised across dimensions such as process flexibility, transparency, and execution efficiency. The resulting assessment tool was validated through expert feedback and applied to a real-world digital business process to examine its usability and relevance. The Technology Acceptance Model (TAM) was also used to evaluate how practitioners perceive the framework regarding usefulness, ease of use, and applicability in practice. This research contributes to the field of BPM by bridging the gap between process efficiency and customer engagement. The proposed framework provides a practical resource for organisations that align their internal workflows with customer expectations, helping them deliver more adaptive, transparent, and customer-friendly digital services.
Customer-Centric Redesign of the Mortgage Application Process in Baltic Banks
(Tartu Ülikool, 2025) Beisembayev, Merey; Milani, Fredrik Payman, juhendaja; Halas, Yana, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Placing customers firmly at the center of the business underpins the main idea behind customer centricity. Previous studies have effectively indicated the benefits of integrating customer centricity into business processes, such as gaining a competitive advantage and increased customer satisfaction. However, the mortgage process remains understudied from a customer perspective, particularly in the context of the digital environment. This thesis investigates how Baltic banks can redesign their digital mortgage application process to be more customer-centric, focusing on the experiences and pain points of private mortgage clients in Estonia, Latvia, and Lithuania. For this purpose, the research adopted a qualitative approach to analyze collected data from competitor analysis of Baltic banks' mortgage webpages and semi-structured interviews with borrowers. The competitor analysis resulted in 40 content elements and features, identifying customer service gaps in how banks communicate mortgage information to prospective borrowers before application. Furthermore, through thematic analysis of the semi-structured interviews, we extracted 6 themes and 22 subthemes, characterizing customers' unmet needs, challenges, and overall experience dealing with the mortgage process. Finally, the empirical findings were synthesized to propose 12 actionable customer-centric recommendations for improving the customer-centricity of the mortgage process. This thesis provides a deeper insight into the mortgage experience of Baltic banks' borrowers and contributes to the implementation of customer-centric business redesign in the banking industry.
Data-driven analysis and optimization of waiting times in business processes
(Tartu Ülikooli Kirjastus, 2024-12-18) Lashkevich, Katsiaryna; Milani, Fredrik Payman, juhendaja; Dumas Menjivar, Marlon Gerardo, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond
Ooteajad on äriprotsessides vältimatud, kuid nende ignoreerimine võib viia märkimisväärsete ebaefektiivsusteni. Mõelge näiteks oma teadusartiklile, mis on valmis laiemale avalikulasele esitamiseks, kuid takerdub sellegipoolest retsensendi lauale — miks? Mis põhjustab sarnaseid ooteaegu ja kuidas neid vähendada? Enamik äriprotsesse toetuvad tarkvararakendustele, nagu näiteks retsensentide poolt kasutatavad käsikirjade haldamise süsteemid. Need süsteemid jälgivad protsessis osalejate tegevusi ja genereerivad sündmuslogisid, kuhu salvestatakse protsessi täitmise andmed. Protsessikaevetehnikad võimaldavad selliste sündmuslogide analüüsi, pakkudes seeläbi täiendavat informatsiooni protsessi jõudluse kohta. See väitekiri pakub välja komplekti protsessikaevele tuginevaid lähenemisviise tuvastamaks ooteaegade põhjuseid sündmuslogidest ja soovitamaks tõhusaid protsessideümberkorraldusi. Nendest esimene võimaldab rühmitamisest põhjustatud ooteaegade tuvastamist (näiteks suurema hulga käsikirjade ootamine enne retsenseerimisega alustamist) ja analüüsi paljastamaks võimalikke parendamisvõimalusi. Seejärel laiendatakse antud analüüsi teistele põhjustele, tutvustades lähenemisviisi, mis võimaldab viit tüüpi ooteaegade põhjuste tuvastamist: rühmitamine, ressursside hõivatus (retsensendid tegelevad teiste käsikirjadega), prioriseerimine (retsensendid eelistavad teatud käsikirju teie omale), ressursside puudumine (retsensendid on puhkusel) ja välised tegurid (retsensendid tegelevad teiste protsesside ülesannetega, näiteks valmistavad ette teadusprojektide taotlusi). Nende põhjuste analüüs aitab võimalikke parendusvõimalusi täpsemalt fokuseerida. Viimaks, tutvustatakse meetodit suurte keelemudelite peenhäälestamiseks eesmärgiga täiendavalt analüüsida tuvastatud ooteaegade põhjuseid ja soovitada protsesside ümberkorraldusi (näiteks artiklite arvu vähendamine rühmas või retsensentide töökoormuse ühtlasem tasakaalustamine), mis on suunatud tuvastatud põhjustele. Pakutud lähenemisviisid on rakendatud tarkvaratööriistas Kronos, mis võimaldab analüütikutel diagnoosida ooteaegade põhjuseid ja saada ettepanekuid protsesside ümberkorraldamiseks. See on samm äriprotsesside sujuvamaks muutmise poole, sealhulgas kiirendades ka teie uurimistöö avaldamise protsessi.
Digital Transformation and the Role of the Business Analyst
(Tartu Ülikool, 2021) Joosepson, Alo; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Digital Treasure Hunt: Discovering Central Bank Digital Currencies
(Tartu Ülikool, 2024) Karimli, Ismayil; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Central Bank Digital Currencies (CBDCs) represent a significant shift in the financial landscape, merging traditional banking with digital technology. As central banks explore CBDCs, understanding their foundational aspects is crucial. CBDCs, issued and regulated by central banks, enhance financial inclusion, increase payment efficiency, maintain monetary sovereignty, and improve cross-border transactions. This study comprehensively examines these motivations, technical designs, challenges, and impacts. This study demonstrates that while CBDCs offer significant benefits, they also pose technological, financial, societal, and legal challenges. The paper's detailed analysis, including a table of current CBDC projects, provides valuable insights for future research and implementation. These findings are vital for central banks, policymakers, technologists, economists, and researchers in the evolving landscape of digital currencies.
Digital Twin Technology for Financial Industry
(Tartu Ülikool, 2023) Manafov, Matin; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The focus of this thesis is the potential use cases of digital twins in the financial sector. This study explores these use cases, their benefits, and the challenges of the adoption to identify the value and impact this technology can bring to the financial services industry. As a result of interviews and thematic analysis, six potential use cases of digital twins were identified as well as four benefits and 6 challenges of digital twin incorporation. The main contribution of this research is a framework that can help practitioners and researchers understand how digital twins can be utilized in the financial sector.
Digital Twin Technology in Financial Services
(Tartu Ülikool, 2024) Kazakbaeva, Azhar; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The focus of this thesis is the exploration of potential use cases of digital twins in financial services. This study explores the use cases, benefits, and challenges of the implementation to define the value and impact this technology can bring to financial services. As a result of the case study, four potential use cases of digital twins were identified, as well as four benefits and four challenges of digital twin adoption. The main contribution of this research is a framework that can help practitioners and researchers understand how digital twins can be utilized in financial companies
Exploring How Digital Technologies Can Be Used to Im-prove Business Processes
(Tartu Ülikool, 2020) Leego, Steven; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The world is becoming more and more digital. The use of digital technologies to improve business operations is becoming increasingly important and companies are interested in embarking on digital transformation journeys, but there is little research on how digital technologies can be used to bring business value. This paper aims to fill that gap and shed some light on what the capabilities of digital technologies are and how they enable process redesign. A systematic literature review is carried out to identify real-life use cases and extract information. This information is used to derive a list of digital technology capabilities. A framework is created by combining the capabilities with process redesign heuristics to ex-plain how digital technologies enable business process redesign.
Exploring Prescriptive Process Mining and Visualisation
(Tartu Ülikool, 2021) Bennett, Andrew James David; Nolte, Alexander, juhendaja; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Process mining is a modern field and fundamentally is involved with the analysis of event logs and the results subsequent to such an event log. Even newer is the inception of prescriptive process mining, whereby recommendations are derived via machine learning methods which originate from process mining logs. Visualising modern innovations in business and technology can be challenging to ensure that standards and users’ needs are met. Thus this thesis analyses the visualisations drawn from prescriptive process mining and how it may be possible to build a guideline in the format of a dashboard to support case workers with ongoing work utilising the power of prescriptive recommendations. This can provide a base design which can be used across a variety of industries or organisational settings to support case workers completing their day to day tasks while utilising the power of prescriptive recommendations derived from process mining.
From Legacy to Microservices: A Case Study on Automatic Investment at LHV
(Tartu Ülikool, 2023) Männik, Kert; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Microservices are a popular choice as an enterprise application architecture because they offer many benefits when compared to monolithic applications. Monolithic application is a good choice when an enterprise is small, but as the engineering department expands, the monolithic architecture drawbacks become even more visible. Then comes a moment when a monolithic application needs to be split to make use of the microservices architecture. This study is a case study in a large banking enterprise where a part of monolithic application was migrated to a microservice.
GDPR and Blockchain Solutions
(Tartu Ülikool, 2020) Pavlenkova, Ilona; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Within the last years, there has been an increased attention for the development of Blockchain technologies and solutions. Blockchain represents one of the major headways’ technologies of the past decade, giving large groups of people and companies a possibility to reach agreement on record information without a central authority. Partially this can be achieved because data once stored on a Blockchain is immutable. The General Data Protection Regulation (GDPR) was developed in the European Union (EU) with the aim to standardize the privacy regulations across Europe and introduce the changes on how the personal data should be processed. The GDPR consists of a series of articles and chapters that require, among other things, provision a consent to collect and store data, identification of data controller, provision of encryption, and anonymization of data. This thesis explores the connection between Blockchain and GDPR. In particular, the thesis presents a decision framework that can help developers and decision-makers in their design of the GDPR-compliant blockchain projects. The framework, presented in the thesis, is developed based on Systematic Literature Review of existing studies on the interplay of technology and regulation. The provided findings will help the Blockchain development teams to consider the GDPR-related factors when designing and implementing the blockchain projects.
How AI is used in Digital Marketing
(Tartu Ülikool, 2021) Golubovic, Danijel; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
There is a recognized need for Artificial Intelligence and Digital Marketing, and their popularity has been noticed in the past decade. Companies have raised significant interest in the development of AI implementation in Digital Marketing. Furthermore, they strive to explore which Artificial Intelligence algorithms are the most effective within Marketing strategy. In addition to this, big data become a central figure of investment toward data-driven decisions in companies. This is due to empirical findings of how the company's users behave, their actions, and how to boost revenue by processing such data. If we take into consideration how worldwide, multinational companies are putting tremendous resources into R&D departments to go ahead of the competition in terms of AI-powered Digital Marketing, it can be said that traditional advertising will be replaced in full capacity by 'intelligent' Digital Marketing campaigns. Thus, this study investigates which AI approaches are applicable in Digital Marketing, which Digital Marketing aspects are most flexible to be under AI impact and how AI can shape the Digital Marketing process to evolve as a better version of itself. The outcome of this thesis can be a good base for further research about combin-ing Digital Marketing and AI, and also it can contribute to other persons of interest in the profes-sional sense.
Impact of Open Finance on Financial Product Innovation
(Tartu Ülikool, 2025) Ohri, Devak; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The aim of this study is to explore and better understand the potential impact of open finance on financial product innovation. To achieve this goal, it is important to understand what drives innovation in the financial ecosystem, what are consumer opportunities, how this impacts the consumer journey, and what challenges they face in the process. Bringing out the industry perspective, it is also necessary to understand the opportunities and challenges for financial institutions, how these impact their business processes, and the industry’s readiness and acceptance of open finance. To explore the research objectives, I conducted semi-structured qualitative interviews with 12 experts from different fields, which were recorded and later transcribed for thematic analysis. The analysis involved coding the transcripts based on pre-defined themes and sub-themes. The results highlight that open finance is catalyzing a new wave of innovation in financial products with a multifaceted impact. The main themes of our findings include customer-centric personalization, ease of product switching and contextual innovation, the role of trust and decision-making, market disruptions, and operational and strategic challenges for service providers. As a result, the thesis provides an overview of how companies can benefit from open finance in terms of product range, business process improvements, and the challenges of implementing the new directive. The contribution of this thesis will be useful for organizations and individuals seeking to understand where innovation is most likely to occur in financial products and what barriers need to be addressed in terms of open finance.
Improving Agile Processes with Customized Mission-based Practices. Case Study
(Tartu Ülikool, 2020) Lashkevich, Kiryl; Milani, Fredrik Payman, juhendaja; Scott, Mario Ezequiel, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
There is no silver bullet when it comes to software development approaches, methodologies and practices, since every IT business is unique. Selecting a suitable software development model is one of the recipes for effective IT company functioning and growth. However, quite often in order to keep up with company scaling the initially chosen model has to be revisited. In this paper, a case study about a new Agile software development framework adoption for scaling engineering at Pipedrive will be presented. The main research goal is to find out what the impact of such software development process redesign is.
Keelemudeli põhine protsessijuhtimine ettevõtte registreerimise näitel
(Tartu Ülikool, 2025) Ojaveer, Kevin; Milani, Fredrik Payman, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The aim of the bachelor's thesis is to investigate how agents based on language models can be applied to support process management, focusing on a specific case: the company registration process in Estonia. Within the framework of the thesis, a prototype AI agent was developed with the goal of guiding the user step by step through the company registration process, providing explanations, clarifications and decision support information. The thesis contains an overview of generative artificial intelligence and the development of large language models, their technological foundations and areas of use. The thesis discusses the risks and ethical issues related to generative artificial intelligence; the company registration process in Estonia is introduced, including various forms of entrepreneurship and digital tools that users encounter during the process. The practical part of the thesis describes the architecture, workflow and testing results of the created agent based on the language model, which demonstrate the usability and practical value of the agent.
LLM-based Interface for Data-Driven Waiting Time Analysis of Business Processes
(Tartu Ülikool, 2024) Avramenko, Maksym; Milani, Fredrik Payman, juhendaja; Lashkevich, Katsiaryna, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Hiljutised edusammud andmeteaduse ja äriprotsesside juhtimise ristumiskohas paiknevas protsessikaeve valdkonnas on avanud märkimisväärse potentsiaali äriprotsesside analüüsimisel, seda eriti tegevuste vahele jäävate ooteaegade analüüsimisel, eesmärgiga tuvastada võimalikke kitsaskohti ja ebatõhususi. See lõputöö käsitleb olemasolevate protsessikaeve tööriistade ühte tüüpilist piirangut: andmeanalüüsi fikseeritud kasutusliidesed, mis piiravad andmete dünaamilist käsitlemist ja kasutajakeskset protsessianalüüsi. Lisaks takistavad fikseeritud kasutusliidesed sageli ka protsessi spetsiifikale vastavate arusaamade teket ja analüüside kohandamist vastavalt äritegevuse muutuvatele vajadustele. Selle probleemi lahendamiseks integreerib käesolev lõputöö suurel keelemudelil põhineva vestlusliidese konkreetse protsessikaeve tööriistaga, eesmärgiga soodustada interaktiivset andmetöötlust, võimaldada isikupärastatud vastuseid, ja pakkuda rakendatavaid soovitusi ooteaegade vähendamiseks. Need eesmärgid seonduvad ühtlasi ka teiste hiljutiste uuringutega, milledes rakendatakse suuri keelemudeleid protsessikaeve tööriistades, et võimendada tulemuste käsitlemist ja tõlgendamist. Käesoleva lõputöö peamine panus on suurel keelemudelil põhineva vestlusliidese kavandamine, rakendamine ja hindamine protsessikaeve tööriistas, mis peaks seeläbi võimaldama andmete interaktiivset navigeerimist ning lisaks pakkuma protsessi sündmuslogile tuginevat teavet selle kohta kuidas protsessi ooteaegu ümberkujundamise soovituste abil vähendada.