Data Visibility and Accuracy is Key to BI Success
By now, all businesses have realized the significance of Business Intelligence (BI) tools, and the advantages that they offer to decision making. However, most people are also struggling to come to terms with how to use BI effectively. What professionals in the industry do not understand is the fact that data is the key to the success of business intelligence tools. However, random and inaccurate data will not work. The data available should be accurate, and more importantly, visible for analysis. This will enable individuals to use business intelligence efficiently.
What is Data Visibility?
If you have enrolled for tutorials, or have taken OBIEE training, you will know for a fact that data that is available to business intelligence tools must be easily accessible and organized. There is so much available data, and it is because of lack of organization that data cannot be accessed when required. For example, if a team needs sales data for a particular week, it should be easily accessible. It should not be part of tons of other sales data. This is only a generic example, taken to explain what data visibility is. Visibility, in terms of business intelligence tools, is accessibility more than anything else.
Importance of Data Accuracy
With the number of sources of data increasing on a daily basis, managers and employees are unable to verify the information that they have access to. There are only a few ways in which you can collect and compile accurate data. If inaccurate information or statistics are used for business analyses, it will complicate the decision making process, and this will ultimately impact on the company’s prospects. So, it is always important that you use accurate data when you are using BI tools to make decisions and arriving at conclusions.
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