Research methods of supply chain management - Essay Example

various processes that include inspecting, transforming as well as emulating useful information that guides the researchers during their decision making. Based on the wide range of data analyses techniques that can be used by the researchers it is imperative to consider their usefulness in producing reliable results. This paper discusses the applicability, advantages as well as the disadvantages of various types of data that is collected either through qualitative research or by quantitative research.

Data mining is one of the major types of data analysis that entails generation of new patterns from an expansive set of data. One of the key objectives of data mining is to extract proper knowledge from a data that can be easily understood by a human being. This type of data analysis involves intersection of database systems, statistics and intelligence that is artificial in nature (Donald & Pamela 47). In order to extract patterns that are unknown through automatic analysis of large quantity of data, various techniques such as spatial indexes are emulated.

One of the chief uses of the data mining is to identify multiple groups that exist in a data and through a decision making support system, more accurate prediction can be obtained from the data. One of the areas that data mining is applicable is in the management of customer relationship. For example, in order to be aware of the customer response towards a certain offer, an organization can concentrate on the prospects that have high possibility of triggering buying behavior of the customers.

In addition, the use of sophisticated systems can be used to optimally allocate resources in order to predict the channel through which an offer is likely to attract most customers. In the same way, data mining is applicable in human resources department in terms of identifying the most productive employee. Data mining is advantageous in that it depicts accurate and useful information about the research subject. In this