Wednesday, June 19, 2019

The deficiencies of using dashboards Essay Example | Topics and Well Written Essays - 500 words

The deficiencies of using dashboards - Essay ExampleThe answer given by the employees of both the brass sections are more or less similar for this question. Majority of the people who have participated in this survey believes that the dashboard are mostly used for the analytical percusses. The percentage is as mellow as 42% and 40% respectively for SAP and Oracle. Among Sap employees, 32% believes that the second most important use of dashboard in any organization is for Strategic decision making whereas among Oracle employees, 39% believes that Dashboard next best used in the operational purposes for any company.The pattern for this answer is same for both the companies and it is also at par with the response given by the people of IBM. 50% of SAP employees believe that dashboard is mostly used by the IT department whereas for Oracle, the percentage is as high as 58%. The second most popular section correspond to SAP is production and strategic department(31%) whereas according to Oracle the second most important section is the production and operation, where in their opinion the importance of dashboard is almost 25%. Unlike the people of IBM, both these companies believes that in marketing and sales department, the use of dashboard it not so much as in that department this can be helpful sole(prenominal) to record the data and to understand the trend based on which decision are taken by the top authorities.While making any dashboard application it is important for the IT companies to remember what are the needs of the client. Like IBM, SAP and Oracle both believes that grouping of relevant data accurately is the key toilet the successful implementation of dashboard in any organization. According to the people of SAP, this point is the main (51%) where as people of Oracle believes that like this point, developing an strait-laced type of dashboard also plays an important role. In their opinion both data grouping and effective type have equal importance (35%

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