Essay About Business Organizations And Difficulties Of Information Overload

Ba 501 – Overview Business Intelligence
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Data WarehousingBrian T. HillBA501 Overview Business Intelligence / Week 2- May 12, 2015Grantham UniversityDr. Camille JacksonMay 13, 2015AbstractThis paper analyses the collected works on the difficulties of information overload, with specific reference to business organizations. The paper will disclose how information overload can affect an organization and how to better manage the information received. Organizations are receiving information at a rapid past and the information received can slow the process down for them to make and adequate decision based on the evidence collected. This paper will also show how data warehousing can help an organization to improve in quality and move forward to the top of one’s industry by examining trends and managing the information through marketing, inventory, money, and transactions.How Information Overload Affects OrganizationsMany decision support systems can generate profits for organizations and can have progressive benefits, however constructing and consuming decision support system can generate negative consequences in some conditions. Information overload exposes and organization to an abundance amount of information that can make them less productive and creative. Leaders who receive this information can become inclined to make poor judgments, and possibility suffer from constant worrying about decision made within one’s organization. (Sauter, et al., 2010), suggest DSS involves financing in information systems to gather data from other bases and evaluate organizations to support the decision making. Organizations have to hire high charging specialist to build the systems to collect the data in which they plan to receive. Employing decision support equipment can have unforeseen concerns. It is possible and established that decision support systems can decrease the ability required to implement a decision for an organization when information is overloaded. Creativity can be hindered when organizations deflect particular accountability to a DSS. Leaders in an organization need to be frequently prompted that the high-tech decision support system is an intercessor amongst individuals who constructed the system and the individuals who use the systems. Standardized computer software can inspire more balanced actions; however, managers can also use decision support technologies to give good reason for one’s actions (Bettis, 2012). Some managers or leaders may dispute with a DSS will weaken one’s position and force them to do secretarial work (Bettis, 2012). With this view of DSS, it can be a drawback of employing a Decision Support System in an organization. Data Warehousing HelpsData warehousing locations aim to support organizations acquire a complex understanding of what it takes to implement an effective data warehousing plan. Data warehousing should be used to help the users find information that will help one limit his or her focus to one main area (Sauter, et al., 2010).  Providing information from numerous resources, managers and other officials will not need to make tough organizational judgment calls constructed on inadequate statistics or one’s intuitive. Furthermore, data warehousing and connected to business intelligence can be functional openly to industry developments with marketing division, inventory controlling, monetary managing, and transactions. Data warehousing can help organizations save time due to the quick access organizations have retrieving data from many sources. Managers and executives can access the data themselves to save time asking one’s personnel to get it for them. A data warehouse implementation includes the conversion of data from numerous source systems into a common format.  Since each data from the various departments is standardized, each department will produce results that are in line with all the other departments. So you can have more confidence in the accuracy of your data. And accurate data is the basis for strong business decisions (Sauter, et al., 2010).