The term Data Warehouse was first coined by Bill Inmon, who has been commonly recognized as the “father of data warehousing” and is the lead proponent of the normalized or sometimes referred to as the top-down, approach to Data Warehouse design (Reed, M.)(Data Warehouse).
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Some WMS systems provide functionality related to labor reporting and capacity planning. Anyone that has worked in manufacturing should be familiar with this type of logic. Basically, you set up standard labor hours and machine (usually lift trucks) hours per task and set the available labor and machine hours per shift. The WMS system will use this info to determine capacity and load. Manufacturing has been using capacity planning for decades with mixed results. The need to factor in efficiency and utilization to determine rated capacity is an example of the shortcomings of this process. Not that I’m necessarily against capacity planning in warehousing, I just think most operations don’t really need it and can avoid the disappointment of trying to make it work. I am, however, a big advocate of labor tracking for individual productivity measurement. Most WMS maintain enough data to create productivity reporting. Since productivity is measured differently from one operation to another you can assume you will have to do some minor modifications here (usually in the form of ).
To write a good research paper on data mining as well as data warehousing, the investigators should focus on comparing the critical components that compile the totality of the knowledge discovering methods. You should be able to analyze all the nuances that can be recognized only by painstaking inspection. But it is not enough to know perfectly the subject. The results of your research should be present in such a manner so that not one small part of your immense research left undisclosed. To find out how to approach proper writing of a first-class research paper, you can familiarize yourself with sample research papers. These free examples will teach you how to write good research proposals on data mining techniques. You can find a lot of them on the Web, but be cautious to choose.
Nowadays, high technologies are taking more and more important role in the process of taking the most important decisions. Information processing by super-powered cluster computers yield results comparable to usefulness of mining. The students, who write their research paper on data mining, have to by all means take into account the value of the knowledge discovery processes in the modern world. In their studies, students of universities and colleges are required to examine strictly the etymology of the term “data mining”, study the history of the emergence of this phenomenon and its evolution. It is very important to identify carefully all the methods that make up the process of data mining, to navigate freely in the wilds of this complicated issue. Your own ideas on how to further develop the technology, which in the future will be more and more widespread, will certainly be appreciated.