SQL Server is mainly used as a storage tool in many organizations. Data mining can be utilized for Predictive Analysis (What will happen) and Prescriptive Analysis (How can we make it happen). However, business needs to do analysis beyond that. The data warehouse is used for descriptive analysis (What happened) and diagnostic analysis (Why it happened). Data Mining should allow businesses to make proactive, knowledge-driven decisions that will make the place better ahead of their competitors.ĭata warehouse, from its mandate to store a large volume of data including the last years of data. Data mining is a practice that will automatically search a large volume of data to discover behaviors, patterns, and trends that are not possible with the simple analysis. There are several definitions for data mining with respect to business as well as for academics.
That is just a simple example of data mining implementation. Well, you might have heard of the famous story of Beer-Nappy at the popular supermarket chain.
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The next question would be how to implement any data mining solution in a real-world scenario. By looking at this simple example, you will understand how critical it is to predict and you understand that all these predictions are done with your experience but not by any scientific method. If so, you don’t need to worry about the rain but you need to consider the fuel level you need to have to reach to the office. If you are using your vehicle then the prediction time would be different. Before you leave your home, you might predict whether it will rain today and you might want to take an umbrella or necessary clothes with you. Time may vary by considering the time and the day of the week, and the traffic condition etc. If you are using public transport, you need to predict at what time you have to leave so that you can reach the office for the meeting on time. Just imagine, you have a meeting at 9 AM at the office. Prediction, is it a new thing for you? You won’t believe you are predicting from the bed to the office and to back to the bed.
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