However, the use of ineffective or unstructured data for business analysis minimizes the quality of decision. In this scenario, Six Sigma can be used to ensure quality of data and decision making. In addition, many organizations use Six Sigma to measure the quality that strives for near perfection. Actually, Six Sigma is a controlled and data-driven method used for removing defects (which drive towards six established standard deviations between the mean and the adjacent specification bound) in any business process varying from transactional to manufacturing and from service to product development. Additionally, the statistical expression of Six Sigma demonstrates quantitatively how a business process (i.e. business intelligence) is working and offering results. However, to attain Six Sigma, a business process (i.e. business intelligence) should not create more than 3.4 defects for one million opportunities. A Six Sigma chance is after that the whole quantity of probability for a defect (ISIXSIGMA; Morwick). As discussed above, unstructured and semi-structured data sources include data and information which is significant and critical to the business areas/departments. As well, this data is used in decision making. In this scenario, application of Six Sigma can help organizations improve this business process. However, the key issue is whether our business is ready to implement Six Sigma standards.