Data analysis is most mysterious and complex among all the phases of the qualitative project, and one which receive least thoughtful discussion regarding the literature. For the neophyte nurse researcher, most of a data collection strategy that has being involved in the qualitative project might feel comfortable and familiar. Data collection and the analysis could be the avenue into science, meaningful mathematics, and also being problem-solving skills required by the students during twenty-first century. It can't be done automatically. It can be rather approached in number of ways. However there are some tools which can be applied to it.
During the past few years data management has gain a lot of importance. Nowadays it has become a crucial business asset. It really important for the companies as regards the volume of information is being concerned. It is basically strong key component for the next generation data warehouses. It is the essential requirement so as to organize and cope with the large amount of information easily. It provides management, map-reading and guidance for the whole organization. It clearly states logical organization of a database. It involves both essential construction as regards the storage of an information and condition of mechanism for controlling a database.
Globalization gave rise to the implementation of the successful projects. A business analyst looks after the successful implementation of the plans. They usually make qualitative analysis of the business. They must possess good analytical and the problem-solving skill. Some of their main responsibilities are as follows:
To develop system design specification and functional specification
To follow the industry trend
To submit the report regularly
Capable of documenting and analyzing the business process
To look after the coordination between the customers and the development team