Data mining

Sometimes even the best reports won’t give us accurate insight into the relations of our data.

Data mining techniques allow us to notice the relation between data. They’re useful in:

  • implementation of cross-selling strategy,
  • sales forecasting,
  • create targeted ads,
  • fraud detection.

The advantages of data mining techniques

One of the main features offered by Microsoft Business Intelligence is a market basket analysis, which allows you to examine the goods sold with other goods. This type of analysis will help in the decision to cross-selling strategy and verify its results.

There we have many advanced algorithms to help detect hidden correct type:

  • the probability of purchase of goods by the customer,
  • forecast sales for the next year,
  • prompt the customer to buy the next product,
  • determine the credit risk on the basis of characteristics of a potential customer.

Why Microsoft BI?

Microsoft has been a leader when it comes to Gartner Magic Quadrant in the Business Intelligence and  Analytics Platform categories. Some companies consider even appearing in the Quadrant a great  success. 

This leading position is a result of good reviews from Microsoft Business Intelligence’s clients. 

Various capabilities of the BI platform and its very good cooperation with MS Excel have also been a  deciding factor. 

The Gartner Magic Quadrant experts have also noticed how easily adaptable the platform is when it  comes to its organization and that its users tend to stay loyal to it.

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