Research problem
Typically, the reach of a database management system (DBMS) extends beyond the individual file management systems, such as inventory files and accounts receivable files of the past, to an entire database or databases, consisting of corporate planning, marketing, manufacturing, finance, human resources, and other data elements. Furthermore, a DBMS allows procedure independence of the database for a large number of data elements. Currently, there are several directions in corporate databases that have and will continue to impact the typical company. They include relational databases, object-oriented databases, and multidimensional databases. Each of these types should be an integral part of a company’s total database infrastructure (Huerta & Koslow 2000). Consideration should be given to consolidating storage management under an enterprise management platform that provides centralized access to the control mechanisms for managing not only storage but also data, systems, networks, security, and output. These mechanisms existed in the computer mainframe world and were largely overlooked as corporate computing moved out of the glasshouse. They need to be added to distributed computing environments. From a different perspective, companies may find that building a data warehouse may be more than they are able to undertake at the present time. A vendor allows companies to migrate to storage-focused and subject-area databases as needed. The end product is just-in-time data warehousing that is a rapid approach to providing infrastructure transparency for companies while enabling immediate end user access to enterprise information and knowledge (Thierauf 1999). This proposed paper is a research into the building blocks to a database management system.
Importance of research
The proposed research will assist in understanding the concept of database management system. The proposed research will give some idea on how a successful database management system is built. The proposed research will help in analyzing the blocks to a successful database management system.
Literature review
A most important factor in an effective Smart Business Systems (SBS) framework is the development of a data infrastructure. Because the ability to get at vast amounts of data and its results provides that all-important competitive edge, a company needs to share these results across the organization. The bottom line is that layers of management can be eliminated and the organizational structure can be flattened. These flattened organizations can make and implement decisions quickly. Moreover, sharing data, information, and knowledge, along with the resulting business intelligence with customers and suppliers, helps break down the organizational boundaries. When people share and work together, teamwork is enhanced, and when employees are empowered to deal directly with their customers, the quality of service improves, thereby cementing relationships with the customers. Capturing an organization’s data and making it accessible to users across the company requires an investment of time and money. Not only must the right systems be put in place and the right applications chosen for accessing the data, but also the company’s employees must learn how to use the appropriate database tools. The issues involved in providing the right technology are complex. The centralized information systems organizations are no longer the clearing houses, but rather provide guidance and standards while the line organizations of individual business units own the systems. Thus, the development of an appropriate data infrastructure within a smart business system environment must take this important fact into account (Chu 2004). Essentially, the development of an appropriate data infrastructure for an SBS operating mode can reduce costs and increase profit margins. It enables the reorganization of business processes and functions. Moreover, the new data infrastructure should facilitate the development of strategic alliances, whereby companies and their suppliers form long-term relationships, or companies join together to provide a wider range of services than any one of them can provide on its own. To assist in the development of an appropriate infrastructure, there may be a need to develop very large databases, knowledge-bases, corporate-wide knowledge bases, data marts, data warehouses, and data federation systems. In turn, these approaches can be related to the need for backing data and guarding against its loss. All of these important areas recognize that there is a need to go outside the organization itself since the Internet has emerged as the central point where supply chain partners of all sizes and locations come together to exchange data (Hoctor & Thierauf 2003).
Methodology
Qualitative method will be used in the study. Qualitative method thrives on understanding data through giving emphasis on determining people’s words and actions. Qualitative method has an orientation that it should gather data that can be acquired through quantitative methods. The tasks of understanding and presenting qualitative research can be very demanding.
References
Chu, MY 2004, Blissful data: Wisdom and strategies for providing
meaningful, useful, and accessible data for all employees,
AMACOM, New York.
Hoctor, JJ & Thierauf, RJ 2003, Smart business systems for the
optimized organization, Praeger, Westport, CT.
Huerta, ME & Koslow, SH (eds.) 2000, Electronic collaboration in
science, Lawrence Erlbaum Associates, Mahwah, NJ.
Thierauf, RJ 1999, Knowledge management systems for business,
Quorum Books, Westport, CT.
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