From Business Intelligence: The Savvy Manager's Guide: Getting Onboard with Emerging IT


The term data mining evokes an image of the old-time panner for gold sifting through mounds of dirt trying to find those elusive valuable nuggets that make the whole process worthwhile. The translation into the information world is the data analyst sifting through terabytes of data looking for the corresponding knowledge nugget. This image is so powerful that the original meaning of data mining has been lost in the media hype that surrounds information exploitation. Now any information worker with a query tool connected to a database running ad hoc queries is called a "data miner," and the concepts that I discuss in this chapter are lost in that translation.

As an alternative to proactive business intelligence (BI) operations, the knowledge discovery process is a means for finding new intelligence from collections of data. Although the methods discussed in this chapter have traditionally been referred to as data mining, that term has become overloaded and so we will use the more correct term, knowledge discovery. Knowledge discovery refers to the process of discovering patterns that lead to actionable knowledge from large data sets through one or more traditional data mining techniques, such as market basket analysis and clustering. A lot of the knowledge discovery methodology has evolved from the combination of the worlds of statistics and computer science.

In this chapter, a lot of which is adapted from the very fine writings of Michael Berry and Gordon Linoff, we will look at the business use of...

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Products & Services
Data Mining Software
Data mining software is used to sort large amounts of data and identify or mine relevant information. Applications use advanced search capabilities and statistical algorithms to identify patterns and correlations in a large database, data warehouse, or corpus.
Business Intelligence Software
Business Intelligence Software (also BI, Analytics, Analytics Software) is software that assists decision makers with sophisticated forms of business data analysis.
Highwall Miners
Highwall miners link underground and surface mining operations by extracting coal from exposed horizontal seams in open-pit mines.
Data Warehousing Software
Data warehousing software is used to design, build, manage, implement, and improve data warehouses, repositories of electronically-stored data.
Research and Development Services
Research and development services perform original investigation to gain new knowledge (research) and/or apply research findings to create or improve products and processes (development).

Topics of Interest

Overview Throughout this book I have tried to emphasize the ultimate extraction of actionable value from aggregated sets of data. So what would you say if you were told there was a huge data resource...

Chapter List Chapter 5: The Information Technology of Business Intelligence Chapter 6: The Data in Data Mining Chapter 7: The Mathematics of Data Mining Chapter 8: Data Mining Techniques:...

Knowledge Discovery and Data Mining Presents many fundamental technologies and recent advances in data mining and knowledge discovery.

Sanghamitra Bandyopadhyay and Ujjwal Maulik Summary. Knowledge discovery and data mining has recently emerged as an important research direction for extracting useful information from vast...

Pieter Adriaans and Dolf Zantinge. Data Mining. Addison-Wesley, 1996. Michael J. A. Berry and Gordon Linoff. Data Mining Techniques for Marketing, Sales, and Customer Support. John Wiley & Sons,...