Assignment:
DSS is an interactive software system that is meant to help managers at a company in the decision-making process. DSS are so prevalent in companies now that most aren't even considered anything outside the norm. Excel or similar spreadsheets are simple DSS systems that are commonly used for many situations. A search engine is a DSS that organizes a huge amount of information, including text files, images, and videos.
The architecture that the data warehouse (DW) is based upon can play an important part in determining the success of the system. The architectural considerations can vary based upon the use of an enterprise DW, operational data store, decision support DW, or a data mart.
The DW that is chosen must be based strongly on architectural design considerations, environmental factors for the data, and the anticipated growth rate of the data source.
Additionally, it is important to consider that data warehousing can be used to help improve the business processes that support an organization. Utilizing an appropriate DW can make an organization's enterprise more competitive and efficient. Of course, there are different factors that can affect the success of a successful DW adaptation. These factors usually include organizational size, management support, skill level, barriers, organizational support, and leadership. Supporting these factors can ensure that the DSS and DW are successful in improving the organization's effectiveness in data modeling and analysis.
Be sure to review the readings carefully. You will be expected to apply the information from these resources in your paper.
Your paper focuses on factors that can enable a successful DW and DSS strategy. Focus on at least two organizations and identify appropriate strategies that can be followed to improve the DSS of each organization.
Length: 7 to 8 pages
References: Include a minimum of 6 scholarly resources.
Readings:
- AHRQ. (2016). Clinical decision support (CSD)
- Trivedi, M. H., Daly, E. J., Kern, J. K., Grannemann, B. D., Sunderajan, P., & Claassen, C. A. (2009). Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings.