Transformation into Platform - How can an organisation move from a single-sided business to platforms? A case study at Lyyti

The research studies the transformation from a single-sided offering to a multi-sided platform. The study aims to define platforms and their benefits, creating a theoretical framework by applying change management models with the platform theory, and by finding critical change points of the transformation. The empirical research was done by utilizing action research. The researcher worked as project manager in the case company, and studied the transformation project by working actively and leading the project team. The result of the project was a study of how the company would be able to manage the transformation. The results clearly showed that the company didn’t have the capabilities to finish the transformation. As a conclusion, the study showed that the critical change points that led to the project failure were, that the project was managed with insufficient change managerial efforts, which later resulted as lack of commitment to re-allocating the resources to complete the transformation. Many of the critical change points were results of combined change managerial and platform-related issues.

Improving reporting management with relational database management system

Data management consists of collecting, storing, and processing the data into the format which provides value-adding information for decision-making process. The development of data management has enabled of designing increasingly effective database management systems to support business needs. Therefore as well as advanced systems are designed for reporting purposes, also operational systems allow reporting and data analyzing. The used research method in the theory part is qualitative research and the research type in the empirical part is case study. Objective of this paper is to examine database management system requirements from reporting managements and data managements perspectives. In the theory part these requirements are identified and the appropriateness of the relational data model is evaluated. In addition key performance indicators applied to the operational monitoring of production are studied. The study has revealed that the appropriate operational key performance indicators of production takes into account time, quality, flexibility and cost aspects. Especially manufacturing efficiency has been highlighted. In this paper, reporting management is defined as a continuous monitoring of given performance measures. According to the literature review, the data management tool should cover performance, usability, reliability, scalability, and data privacy aspects in order to fulfill reporting managements demands. A framework is created for the system development phase based on requirements, and is used in the empirical part of the thesis where such a system is designed and created for reporting management purposes for a company which operates in the manufacturing industry. Relational data modeling and database architectures are utilized when the system is built for relational database platform.