This paper examines the implementation of Enterprise Database Management Systems (DBMS) and their central role in modern enterprise computing. It analyzes the critical success factors necessary for successful DBMS deployment—including executive sponsorship, user participation, and measurable performance goals—drawing parallels to Enterprise Resource Planning (ERP) implementations. The paper also evaluates the primary advantages of enterprise DBMS platforms, such as reduced data redundancy, improved data integrity, and lower Total Cost of Ownership, while acknowledging significant disadvantages including high training costs, vendor licensing expenses, and data migration challenges from legacy systems.
Enterprise Database Management Systems (DBMS) are the catalyst and foundation of many enterprise software applications, platforms, and systems in use today. Having progressed from serving as simple relational databases to functioning as the foundation for complex process workflow and transaction systems (Casati, Castano, & Fugini, 2001), the DBMS architecture has taken on a central role in enterprise computing. This paper analyzes the critical success factors for DBMS implementation in enterprises, as well as the advantages and disadvantages of enterprise DBMS systems and platforms.
In many respects, the critical success factors of Enterprise Resource Planning (ERP) systems reflect or mirror those for DBMS systems, since the latter are often platforms for ERP applications (Lungu, Velicanu, & Botha, 2009). When DBMS systems are implemented, the entire culture of a company or organization must change. As a result, the major drivers of successful change have little to do with technology and are instead focused on transforming processes and systems to make them more efficient.
The critical success factors for DBMS implementation include endorsement and active support from the CEO, the active participation of those most affected by the change, and a focus on measurable and quantifiable performance gains resulting from the investment in process change and technology (Remus, 2007). When all three of these factors are managed well, they can lead to successful DBMS development and customization to the needs of a given enterprise. When they are not managed effectively — particularly in the areas of change management and workflow redefinition — the result can be significant resistance, including employees rejecting the new system, refusing to use it, and reverting to manual approaches (Remus, 2007). Among all factors, CEO and executive buy-in remains the single most important catalyst for successful change management over time (Remus, 2007).
For a DBMS implementation to succeed and accomplish its stated objectives, all three critical success factors must be continually worked on and fine-tuned to the needs of the organization. Process-based integrations must also be completed and tested to ensure the DBMS delivers the correct responses to queries and information requests (Casati, Castano, & Fugini, 2001). In addition, supported applications must be tested and a specific change management plan created to ensure support for the various departments relying on key applications. An example of this dynamic can be found with a Customer Relationship Management (CRM) system and the integration of a DBMS to support customer data management and master data management definition (Gouldson, 2001).
The more complex the configuration of applications and DBMS platforms, the greater the reliance on all critical success factors working in combination to minimize the risk of an unsuccessful implementation. The role of the CEO and senior management team in defining a vision for how the applications and DBMS will further strengthen a company's capabilities and help it achieve its goals is essential. That unifying vision — explaining why all the work is necessary — makes the difference in many successful DBMS implementations (Remus, 2007). With a focus on results and the pursuit of a shared vision, the probability of a successful DBMS implementation increases significantly compared with implementations that lack this guiding influence (Remus, 2007).
As DBMS platforms have become the center of many enterprise systems, their advantages have grown more evident through widespread adoption. Key advantages include reduced data redundancy, more effective management of data integrity, logical separation of data structures from applications, and reduced Total Cost of Ownership (TCO) overall (Lungu, Velicanu, & Botha, 2009). Another advantage is the design of DBMS systems to ensure a high level of SQL access and sustained query performance over time (Mercioiu & Vladucu, 2010).
"Training costs, licensing fees, and migration expenses"
Despite these limitations, DBMS platforms continue to flourish for use with enterprise applications. The reliance on SQL-based platform support is also leading to greater breadth and depth of application coverage, ranging from ERP and supply chain management to customer relationship management and distributed order management applications.
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