Data mining is different from data analysis. Yet, both are used together. Market Research Consultants studying a business first mine important data out of various repositories. Then they begin to analyze it piece by piece.

Now my question is, is it necessary to use data mining analysis together or can it be used separately? It may be a bizarre question, but I think it has merit. Any data mined has to be analyzed. Or else, it can never be decided whether it is good or bogus.

But if one constantly keeps mining data out and concurrently analyzes it, it not only disturbs the flow of mining data but prolongs the time period that otherwise would be consumed in mining the entire data set out. So rather than analyzing it piece by piece and consuming an eternity, it is more beneficial if all the data is collected at once and then analyzed.

Data mining analysis this way becomes more effective. Market Research Consultants often say that this gives them enough time in hand to first take a good look at the data set they have gathered and ponder a strategy as to how they would go about analyzing it.

They can work out all permutations and combinations and see how they would love to begin analyzing the data they have in hand.

It often happens that not all the data is useful, and in the final stages some has to be discarded as well.

If data is analyzed simultaneously in a jiffy, there is a sharp possibility that not-so-useful data also gets analyzed which kills time.

What is your take on this? All market research consultants out there, do you second my opinion or have something different to say?

Source: b3Intelligence.com