To identify and solve business problems, use information systems concepts
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Communicate information system concepts to both technical as well as non-technical audiences in a business context.
Technological advances and emerging trends in technology have provided organizations with many benefits and additional capabilities.
Many systems and packages have been developed as a result technological advancements.
Decision Support Systems (DSS), is an example of such a development.
This report explains the purpose and details of the systems as well as how they are implemented in an organization, as described in the case study.
Decision Support Systems (DSS).
DSS stands for Decision Support Systems. These systems are often abbreviated DSS. They are information applications that collect and analyze data in order to support business decisions.
They support business analysts and business experts in the decision-making process for the company and the business processes (Marin 2017).
These systems’ role is to access, analyze and manipulate data.
Decision Support Systems can collaborate with many Business Intelligence tools.
These tools include data warehouses, Online Analytical Processing Systems (OLAP), and others.
DSS can also be used to aid in data mining and data analysis.
These tools provide business professionals and experts with all relevant information and details that can assist in making effective decisions.
Decision Support Systems are extremely useful and valuable.
However, managers must take part in the development and deployment of the Decision Support System (DSS) within their organizations to ensure that every detail is known.
Audits and reviews are also required to gain a better grasp of the system’s functionalities and features.
The tool must be understood not only in relation to the project activities, but also how the data is handled, gathered and managed.
The compatibility of the tool as well as its effectiveness should be examined.
Once all these areas have been covered, it is certain that the systems will offer many benefits and benefits to the organizations in which they are deployed.
Decision Support Systems can be used by anyone.
It operates solely on the inputs of the user (Kock (2005)
Utility of DSS in the Organization
The Decision Support Systems would be required by the organization mentioned in the case study to analyse sales and other related processes, so that strategies can be developed accordingly.
The organization has suppliers from Ireland and New Zealand. They are required to supply the company with supplies based on the exchange rate.
The following are reasons Decision Support Systems can be applied to your company and provide many benefits.
A system would allow the organization to track sales activities and their relationship with it.
DSS would pull data from multiple sources (internal and extern) and process it in relation to trends and sales patterns (Maynard Burstein, Arnott, 2001).
The decision support systems will help to analyze and record sales data for the period specified.
The sales team and specialists will then have a better understanding of the trends and will make the right decisions regarding strategies and tactics.
Many users will use the services provided by the company.
The sales trends and patterns will vary depending on the user group.
DSS will display the patterns and related trends for each user group.
This will allow the sales team to make informed decisions (Ludwig 2010).
You can also have suppliers that are related to the organization, but they may be located in different regions.
The system will decide which supplier to choose from and the relevant supplier quotients.
It is not uncommon for organizations to spend a lot time making decisions.
Because of this, it is often difficult to gather information from multiple sources and analyze all of them.
With the implementation and use of Decision Support Systems (DSS), the time spent on all of these activities will be cut.
It will take less time to do the activities that enable quick decision making (Merkert (2015)).
Because of the lengthy decision-making process, conflicts and problems can arise.
Implementing DSS will help to avoid such problems.
There are many activities and managerial tasks within an organization.
Because of the number of activities in an organization, it can be difficult to manage them all at once.
Decision making activities can be automated by the use of Decision Support Systems within the organization.
These tools can also be used to improve overall organizational control (Liu, 2009).
Decision Support Systems are an important tool for business organizations because decision making is one that requires a lot of attention.
These systems can also be used to improve organizational control and problem solving.
These systems are useful in the analysis and presentation of sales data.
This system will offer many benefits.
The Most Mark-up Type SUPPLIER provides the greatest profits for the company.
Impact of markup type – This is a linked Selling price that directly impacts the selling price. This helps in decision-making.
Impact of huge discounts – When a company offers large discounts, it can adversely affect the profit margins.
It will bring in more customers.
Sarah Jane Smith Transport is a recommended freight type. This is because it has low quarterly costs and the exchange rate.
This will increase the company’s revenue.
If the business profits are transferred to customers instead of businesses, the company’s image will improve and its brand value will increase.
NZ is the most popular company due to its exchange rates.
Problems can arise when the company faces legal problems.
What impact would different Recommended Freight Types have on a business’s profit if they were transferred to them instead of the customer (as explained in the preamble).
Which country is best for your business to import?
What factors could lead to the company having to reconsider choosing a country for import?
Chapter 2: Knowledge-based Decision Support Systems.
Integration of decision-support systems to improve decision support performance.
Semantic web technologies are used to deploy decision support systems.
International Journal of Decision Support System Technology. 2(1). pp. 49–59.
Decision Support Systems.
Maynard S., Burstein F., Arnott D. (2001).
Journal of Decision System 10(3-4), 395-428.
A Survey of the Application of Machine Learning in Decision Support Systems.