Auflistung nach Autor:in "Horn, Daniel"
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- PublikationCreating Value in Private Banks by Successfully Using Recommender Systems(Hochschule für Wirtschaft FHNW, 2019) Horn, Daniel; Pilorget, LionelWith the advent of emerging technologies in the banking industry and the rise of new competitors, banks are forced to become more innovative in order to overcome the ever-increasing margin pressure. In addition to new services recently introduced by private banks such as chatbot support and enhanced mobile capabilities, the industry is focusing on intelligent portfolio advisory robots. Whereas some Fintech solutions offer a fully automated approach, some banks have decided to adapt a hybrid approach which is led by a customer relationship manager and supported by a robo-advisor. Due to the importance of personal relationships between the customer and the relationship manager, private banks may not be fond of fully replacing the customer relationship manager by a robot. Accompanying a Swiss based private bank during the implementation of a machine-learning based recommender system which is generating the next best personalized investment recommendation for customer relationship managers (CRM), this master thesis aims to confirm that the successful use of this system increases the financial performance of the bank. Furthermore, the main goal of this thesis is to identify the critical success factors of a project dealing with the introduction of an AI recommender system as well as to assess, what impact the solution has on the banks' relationship managers and customers....11 - Studentische Arbeit
- PublikationThe technology matrix – A tool-based method for technology scouting(2019) Peter, Marco; Gatziu Grivas, Stella; Horn, Daniel; Rüegg, Florian; Barba, Renato; Graf, Manuela; Baptista Nunes, Miguel; Isaás, Pedro; Powell, Philip; Ravesteijn, Pascal; Ongena, Guido [in: Proceedings of the 12th IADIS International Conference Information Systems 2019]The digital transformation of businesses is crucial when initiating business model innovations and using technology as added value. The difficulty today for businesses is to keep track of emerging technology trends that are relevant and could significantly support their digitalization process. Especially for small and medium-sized enterprises, which often do not have the resources for a proper investigation of emerging technologies. This research paper presents the technology matrix, a new tool-based method of scouting technology trends, based on the relevant factors business impact, project size, and feasibility of the incorporation of the technologies. Existing technology scouting tools on the markets where analyzed on their strength and weaknesses and best practices were incorporated into the developed technology matrix. Furthermore, expert interviews have led to important inputs when designing the technology matrix.04B - Beitrag Konferenzschrift