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.

CSR Reporting in the Finnish Banking Sector – Status and Recent Development

This thesis reviews the development of CSR reporting in the Finnish banking sector. This was achieved by analyzing the content of specific CSR reports published by three banks during years 2012-2014. The banks selected represent the three largest banks operating in Finland according to their market share, constituting approximately 70 percent of the total perceived market share. The purpose of the analysis is to establish a clear descriptive overview of the status of CSR reporting and how it has thematically developed over the years. The research was conducted with the qualitative content analysis method. By analyzing the contents of the CSR reports it was found that CSR reporting is understood in 3 different themes that reflect the general CSR theory: economic, social and environmental responsibility. The following research focused on analyzing these three core themes separately during years 2012-2014 in order to find specific tendencies in the development of CSR reporting. The results confirm that CSR reporting is developing in the Finnish banking sector. Reporting about economic responsibility is based on core financial performance reporting, and it’s mainly developing in the assessment of the global recession and how the potential fiscal reforms affect to the bank sector’s performance. Economic responsibility is also being understood and reported as a wider concept, including intertwined and shared meanings with the other responsibility reporting themes. The research also suggests that banks value social responsibility reporting increasingly each year. Environmental responsibility reporting is the most standardized form of reporting, however, the reporting development includes the increased use of digitalization as source of lessening the environmental impact.