Introduction
JIT can be defined as a philosophy which came into existence in the early 1970’s and for the first time it was developed in Toyota manufacturing plants under Taiichi Ohno. So it can be said that JIT is a Japanese philosophy.

According to Taiichi Ohno, waste is anything other than minimum amount of equipment, materials, parts and working time absolutely essential for the production. So waste can be defined as anything that provides no value to the operation,here JIT plays a very crucial and essential role.

JIT helps in eliminating or at least minimizing the various wasteful activities like moving work around, loading,unloading, carrying, storing, stocking etc. and hence allows the employees and the whole organization to keep a look on and concentrate on the various activities that provide value to the company.
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Introduction and Meaning of Observation
The most common method used for getting information about the various things around us, is to observe those things and also the various processes related to those things. Hence, it can be said that observation acts as a fundamental and the basic method of getting information about anything. But it must be kept in mind that observation is not just seeing things but it is carefully watching the things and trying to understand them in depth, in order to get some information about them.

Observations sometimes act scientifically, when used by the researchers in various research works but it should be noted that all observations are not scientific in nature.
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Introduction
Data warehousing acts as a great facility for the various users, as it consists of some tools that are very effective in the storage of the summarized information from multiple, heterogeneous databases in a single repository. In today’s corporate world, the organizations are able to generate data in a very large amount during the day to day business activities. This data acts as a very strong plus point for an organization but only if this data is able to provide very good information and is not just a collection of data. In such a scenario, where it is required to get valuable and important material extracted from a collection of data, data warehousing play a very essential and crucial role.

W.H Inmon is considered as the “father of data warehousing” and according to him data warehouse ‘is a subject – oriented, integrated, time – varying, non – volatile collection of data in support of the management’s decision making processes.’

Evolution of Data Warehousing
A typical data warehouse, in the starting evolves as a very large database (VLDBs) – consisting of data records in a very large amount. As a process, this technology develops gradually within an enterprise and the longer a data warehouse is used, the more it evolves. In the beginning, data warehousing was generally used in the processes like generation of reports, answering predefined queries etc. but now data warehouse finds its use not only in these operations but also in the analyzation of the data.
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1. Pure research
a. Also called as the fundamental or the theoretical research.
b. Is basic and original.
c. Can lead to the discovery of a new theory.
d. Can result in the development or refinement of a theory that already exists.
e. Helps in getting knowledge without thinking formally of implementing it in practice based on the honesty, love and integrity of the researcher for discovering the truth.

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Meaning and Definition of Research
Research in simplified terms means searching for the facts searching for the replies to the various queries and also for the solutions to the various problems. Research is an inquiry or an investigation with a specific purpose to fulfill, it helps in clearing the various doubtful concepts and tries to solve or explain the various unexplained procedures or phenomenons.

According to the encyclopedia of social science, research can be explained as ‘the manipulation of generalizing to extend, connect or verify knowledge.’

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