Data Mining is an artificial intelligence process to identify uncovering hidden patterns from data. Data Mining is used in marketing, surveillance, fraud detection and scientific industries to discover uncovering hidden patterns from data.
Neural Networks, Clustering, Genetic Algorithms, Decision Trees and Support Vector Machines are traditional artificial intelligence process method that helps to identify uncovering hidden patterns from data.
Data Mining is a modern technique to identify hidden patterns from Data warehouse. An instance, a Sales Data Mart can be used to mine data to identify fast moving product or slow moving product in particular period of time or geographical area.
Data Mining is helps to identify answer for the following questions…
Where is the product demand?
Where to market particular product?
What is the seasonal product demand?
When to reduce particular product production?
When to increase particular product production?
What is the Risk Time to avoid Sales and Production?
What is the Risk Place to avoid Sales and Production?
Who achieved target product sales over period of time?
Why the sales people failed to market particular product?
Who didn’t achieved target product sales over period of time?
What is alternative solution to increase Sales and Production?
OLAP is helps to provide past business transaction aggregate information based on Product, Time, Geographical and Customer or Supplier or Employee of the Organization.
Data Mining is helps to design decision trees for future business plan based on the uncovering hidden patterns of data.
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