Statistically measuring every process

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Abhijeet S
Statistically measuring every process


Since Six Sigma is heavily dependent on numbers to underline the number of defects it becomes difficult to measure each and every process mathematically and statistically. Puthucode of SQC says, "It is easier to measure each and every process in a production environment but when it comes to software there is this problem of lack of repeatability.


A lot of dedication is required, especially while measuring people processes, as it means a complete change in the attitude of the employees." However some companies like Wipro Technologies have created a data driven system and have made it mandatory to collect data for each of the processes running on Six Sigma.


This system solved the problem of statistically measuring processes running on Six Sigma for Wipro Technologies. Ramaswami K, Viswanathan, consultant at QAI India says, "When it comes to measuring Six Sigma it can be applied in any field of operation from manufacturing to software design, from sales and marketing to customer service, from financial back offices to call centres.


The difference in IT organisations is that it may be applicable for ‘product design’ oriented projects while ITeS may use process improvement projects." No proper assessing body: The absence of any assessing body to monitor the applicability of the Six Sigma process is also a major challenge which Indian IT and ITeS companies face.


The lack of good consultants in the space who can assess and monitor the adoption of the Six Sigma practice has compelled companies to go in for self-assessment of the practice, which at times may not be accurate.
 
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