This study investigated, in an experimental setting, the existence, nature and causes of the differences in the completeness of logical data specifications generated by professional systems analysts having training and experience in the use of one of two modeling approaches. The approach used primarily modeled either the data flows or the data structure of an object system. The systems analysts were asked to analyze a case and to generate logical file specifications which were evaluated for completeness. The results of the study indicate that the data structure analysts produced logical data specifications which contained a greater number of entity views and attributes than those of the data flow analysts. Data flow analysts had greater difficulty with the concepts involved in specifying logical data specifications and consequently derived less complete data specifications than data structure analysts.
This article presents the results of a study which analyzes skills perceived as useful by information systems (IS) managers and systems analysts in IS organizations of different levels of maturity. These IS skills were examined under two major subgroups of generalist/managerial and specialist/technical skills as well as under more detailed categories of organizations, people, society, systems, computers, and models skills. Generalist, i.e., organizational and people skills, were rated highest. Based on these rankings, which deviated little between managers and analysts and across the maturity spectrum, recommendations concerning graduate IS curriculum are suggested.