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Forget the Errors with Six Sigma<\/strong><\/p>\n\n\n\n Even the echo of the word computers toady does not come without data. Data, piles of data, metadata, data analytics, data science and what not. But the amazing fact is that the two brimming technologies revolve around the same thing. Six Sigma<\/a><\/em><\/strong> is in fact synonymous to lots of data. The key to both of them goes via statistical tools and then the entire mathematics comes. While statistics is just one element of the Six Sigma software. Different software developers provide data using different tools.<\/p>\n\n\n\n But is the availability of data enough?<\/p>\n\n\n\n Does your process variance meets your customer requirements?<\/p>\n\n\n\n Do the services provided by your IT firm fall within the acceptable range?<\/p>\n\n\n\n Six sigma has nothing to do with the computers and mathematics engineering is an entirely false notion. The Computing industry depends largely on its users and their demands. There is a reason why the term \u2018user friendly\u2019 was coined. But amidst creating powerful applications and managing updated customer demands it is difficult to maintain consistency in the quality and as well reduce process waste. The crux revolves around identifying even the tiniest glitches of the technology because this is a field where advancements are being made every second practically. So Six Sigma plays the following roles in the computing and mathematics industry<\/p>\n\n\n\n