1.
Ashish .k. Sharma
2.
Jitendra .r. Sharma
3.
Sangita A. Sharma
4.
Pankaj S. Agrawal
Abstract
In today’s fast-paced business environment, with floods of data available, decisionmaking
has become a complex task. These data contains nuggets of valuable information
in hidden form, which are often not effectively utilized due to lack of suitable analytic
tools and techniques. Data Mining is a buzzword for the present era. Data Mining is the
non-trivial process of identifying the valid, novel, potentially useful and ultimately
understandable patterns in data. However, with the advent of some technology like Data
Mining, the data can now be suitably analyzed and mined to yield valuable outcomes.
Quality Function Deployment (QFD) is an extensive customer oriented product
development process that strives for improving quality and gaining higher customer
satisfaction. QFD contains voluminous data, which can be suitably mined to deduce
important and pertinent information. As is the case with QFD – since the data happens to
be voluminous, suitable mining of data may lead to product quality improvement and
hence higher customer satisfaction. The paper thus aims to analyze the Data Mining in
context of QFD process. In the light of above the paper talks about the QFD and Data
Mining and then discusses the ways and means of incorporating Data Mining in the QFD.
