Data Mining to the 3rd Power

Data mining is a technique that enables the automatic extraction of information from vast amounts of data. Data mining has evolved over the years from less sophisticated first generation techniques to today's cutting-edge third generation applications that are best epitomized by Sagarmatha's family of Personal Promotion Builder systems.

First generation data mining applications:
Strong data mining engine with a friendly GUI enables the user to retrieve data mining information from a general database.
Advantage: Versatile, can be used to find solutions in different fields.
Disadvantage: Only data mining professionals can operate the system.

Second generation data mining applications:
Data mining engine with an interface that allows the user to browse among different questions in specific areas that the data mining engine can answer.
Advantage: Ease of use - no professional experience required.
Disadvantage: DSS (decision support system) is able to show problems, but does not provide solutions.

Third generation data mining applications:
Data mining engines integrated into a general solution.
Advantage: Provides a fully automatic environment, or application envelope, surrounding a highly sophisticated data mining engine.
Disadvantage: Since it's specifically designed for retailers and credit card companies, Sagarmatha's PPB is not as applicable to other markets.

Sagarmatha's PPB system is one of the only 3rd generation DM applications in the world. Embedded inside the PPB system is a 1st generation DM engine developed by Sagarmatha, one of the most sophisticated of its kind in the world, with the unique ability to work with noisy data.

The great advantage of the PPB system is its ability to perform a completely automatic action that will influence the businesses bottom line, unlike 1st and 2nd generation engines that can provide (at the most) interesting reports where the distance between them and influencing the businesses bottom line is great.