Data Warehouse, Data Marts and Online Analytical Processing (OLAP)
Introduction One of the critical components in the information technology age is the data. Data is the source of all the information and information is valuable for decision making process. Decision support systems are developed to support executive management and relevant decision makers. In the modern era, there is large volume of information is available. […]
International Businesses and the Need to Harmonize Global Policies with Local Regulations
Globalization, Localization, and Glocalization It is a known facet of globalization that businesses that operate across the world have to contend with global policies and local regulations at the same time. In other words, these international businesses have to not only follow the global rules set by world trade bodies like the WTO (World Trade […]
The Promise and Peril of the Digital Economy
Much is being said and written about the emerging digital economy with all its promise of techno-utopia and the perils of technology taking control of our lives. Indeed, while some experts have cautioned against surmising that technology would solve all the problems of humankind and lead us into a future of abundance, the mainstream view […]
Behavioural Models for Project Managers
There are several models of behaviour that the project manager can draw upon in his or her work. These include Maslow’s need hierarchy theory, Herzberg’s Hygiene theory and McGregor’s theory X and theory Y as applied to project management. All these behavioural models point to the ability of the project manager to motivate the people […]
The AT&T – Time Warner Merger
AT&T is one of the biggest phone companies in the world. In fact, this was the company that first started building telephones. On the other hand, Time Warner is a giant in the media space. It owns major media channels like HBO and CNN. Each of these companies is gigantic in their own right. This […]
The Six Sigma philosophy believes in statistical facts. There is no room for error and therefore there is no room for guessing or judgement. Therefore the few inputs that were guessed for being the critical ones in the earlier stages of define and measure now need to be confirmed with statistical analysis.
The purpose of the analyze module is two phased:
Before the introduction of Six Sigma into business, the common practise was to have a business problem and then quickly start working towards a business solution. However in Six Sigma the approach is process focussed and data driven.
The approach is to first convert the business problem into a statistical problem. The data collected in the measure phase is then used to solve this statistical problem and come to a statistical conclusion. This statistical conclusion guides the appropriate plan of action which is then put into effect in a very controlled manner.
The analyze phase receives inputs in the form of identification of the possible few critical inputs to the process being improved. For instance if a cars servicing service process is being improved, the critical inputs that may make it to the analyze stage could be the technical expertise of the workers, the place of service, the time required for service and so on. This information acts as the raw data. However, it is not only this list that must come as the input. Six Sigma professionals can do little more than look at such lists. For each input that has been classified as critical, the measurements collected by running the process must also be available. This will enable the Six Sigma team to statistically prove the inputs which are critical.
The following are the outputs from the Analyze phase:
It is this thorough methodical approach that is used by Six Sigma in finding out issues that makes it more successful than any other quality tool. Reliance on facts is the main feature of Analyze phase as well as of the Six Sigma methodology.
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