The stages of Data Mining

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soniya55531
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The stages of Data Mining

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In order to execute data mining strategies, it is essential to adopt a solid plan with well-defined phases. Thus, Data Mining can be structured in the following steps:

Understanding the business and identifying problems : understanding the business model and the main challenges within the market allows us to establish objectives that must be achieved by mining;

Data exploration and cleaning : when performing Data Mining, it is important to understand what each data reveals, its sources, variables and the best ways for its applications. In addition, it is essential to clean data that presents problems, such as duplicates and conflicting information, for example;

Preparation and modeling : analyzing the data, creating groups or china mobile database categorizing them using pre-established criteria facilitates the process of obtaining better results. In addition, at this stage it is also important to develop techniques, estimate models and implement algorithms that are in line with the objectives initially proposed.

Analysis of results and implementation : of fundamental importance, the analysis of results phase must include experts who can evaluate the discoveries made during the modeling period. Based on the results obtained and the validation of the analyses, the process is concluded with implementation.

Conducting data management in a phased manner allows companies to ensure good use of information and, consequently, acquire greater capacity to deliver the expected results.


Data Mining: applications and influence on decision making
In general, Data Mining enables the filtering of Big Data and, therefore, the extraction of truly relevant data from a whirlwind of information. With this, through data management, it is possible to find opportunities and even flaws in the business model.


It can be used to classify customers based on their purchasing potential and, therefore, to direct more assertive offers. Another example of its application, aimed at selling goods, especially for e-commerce, is the possibility of discovering the most viewed products and, from there, offering items that can be purchased together.


More than that, the use of Data Mining allows organizations to anticipate and identify market trends by mining information from social networks, which will allow them to know and understand the behavior of users and potential customers, for example.
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