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Data Collection and Quality Management Data Collection and Quality Management Paper Data is collected to learn the effectiveness of a particular tool in preventing
Quality Management tools Quality Management Tools Brainstorming Brainstorming is a very powerful creative thinking and idea generating technique. It is a decision-making
Field Research Grounded Theory Case study Action Research Narrative research Qualitative Data Collection Techniques Interviews Workshops / Focus Groups Literature
ORGANIZATION (Todd) 5 ANALYSIS OF ISSUES (Todd: why only this year and not 2005) Data collection (Todd) 7 OVERALL MANAGEMENT PLAN 10 IDENTIFICATION OF SUGGESTED MAJOR
collection methods and then briefly discuss why other listed information should be included in the data collection process. TYPES OF INFORMATION COLLECTED PAIN MANAGEMENT
Submitted by ATumo on April 7, 2008
Category: Business
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Data Collection and Quality Management Paper
Data is collected to learn the effectiveness of a particular tool in preventing defects or to look into the cause of a particular defect (Burrill, Ledolter, p.381 ¶1). Data removes the trepidation and uncertainty of an unknown element. For example, opinions vary from person to person and what one person thinks as good, there is another that thinks otherwise and yet another that may have a neutral opinion. One reason for collecting data is to gain an understanding of the data by organizing and graphing the individual values (Albert, Rossman, p.1 ¶2). Secondly, and most importantly, collecting data helps draw conclusions about a larger group of information (Albert, Rossman, p.1 ¶3).
There are other reasons to collect data. Data also helps people to understand the processes with which they work. Data can also be collected for the purpose of process control. Numerous manufacturing processes use feedback data to adjust an input, such as temperature, in order to keep the output at the desired level. Feedback data from quality control activities can be used to make adjustments that result in more products meeting their requirements (Burrill, Ledolter, p. 381, ¶ 1). Data can also be used to improve processes with the intent of increasing productivity.
For example, a delivery service makes a guarantee that all domestic packages will be delivered within 24 hours. What happens when a package is delivered in 25 hours or later? Will the delivery service make amends by waiving the delivery fee, or did the delivery company make a reasonable guarantee? The data gathered for this delivery company will determine the variables associated with each delivery and paint a clearer picture on whether the time interval for delivery is enough to continue with the 48-hour delivery guarantee policy. What the delivery company can do is to measure the distribution of all times it will take to deliver a package...
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