In the modern business society, data management is mostly the cornerstone and the epicenter of success and excellence. Firms with impressive database management systems are way ahead of those who lack smooth systems for managing data in terms of business intelligence, knowledge, and wisdom. Decisions made based on data analytics...

There are five important steps in database system life cycle. They include analysis/planning stage, design stage, development stage, implementation stage and maintenance stage (Wernet et al., 2016). In the analysis/planning stage, overall database panning is carried out including the development of the overall layout of the database and data conceptualization....