Database - Data Warehousing - Discussion

Data mining is an innovative way of gaining new and valuable business insights by analyzing the information held in your company database.

Data mining uncovers this in-depth business intelligence by using advanced analytical and modeling techniques.

Data mining can identify patterns in company data.

Data mining can identify the characteristics of a known group of customers.

Data mining tools ease and automate the process of discovering this kind of information from large stores of data.

I don't agree with the provided answer. I think the correct answer is be "C". Seems to me that data mining is more about analyzing data, looking for "hidden" information, or correlations, in order to take calculated decisions. And not so much of "explaining" an observed event or condition.

It is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytic tools for analyzing data.

Data warehouse architecture, which is based on multi-agent systems, not only improves the active and real-time performance of the data warehouse.

Data mining refers to statistical and AI algorithms to analyze correlation of variables in data.

Data mining --> Extracting useful data from large DB and also finding patterns among data.

Data mining is used as a function to find some relations, patterns among the data.

Data Warehousing is a repository of an organization's electronically stored data.

Data mining refers to extracting or mining knowledge from very large database.

Data mining means tools to access, analyse the data and store it in an db.