Design Research: How to Find Unexpected Connections Between Analyzed Objects for Sustainable Development with the Support of Information Technology?

摘要

A large volume of data is the basic characteristic of modern information and a global society. A natural requirement is to use this data for resolution of the everyday needs of companies, organizations and individuals. In this situation, cooperation, innovation and user-friendly IT (information technology) products are needed for the support of sustainable development. The aim is to seeking out unexpected connections between data. This paper is focused on complex work with data with respect to needs of global society. There are many approaches and to find suitable relations between stored data is difficult. Key is a complete perception of reality based on an optimal design research. Such approach works with many objects and continuous exploration of different contexts using available analytical disciplines (layers). Needed spectrum of suitable analytical disciplines is wide. In this paper, presented design is focused on browsing selected layers via disciplines such as Artificial Intelligence, Business Intelligence, Customer Intelligence, Competitive Intelligence and Swarm Intelligence. For active work with data in various layers, a good helper is simulation and multidimensional approach. Work with simulation has to be adapted to a wide range of researched reality. The resolution is verification identified with business limits and improved results in additional layers from selected analytical disciplines. These layers such as indicators involve internal map reality. A natural request is simple and intuitive movement from one layer to another in the form of a zoom to needed data.