What is Data Mining at Brains and Business?
 Data Mining is an internal innovative business process where data is analyzed by intelligent mathematical algorithms. These algorithms compute, describe and predict interesting patterns in data such as:
Fraud
Patient illness
Customer financial risk
Customer payment behavior
Supplier reliability score
Cash Flow fluctuations
Optimal transportation route
Intention to buy
Customer buy behavior
Energy consumption
Our human brain is unable to analyze large data sets because we cannot process many associations and calculations between variables within a limited time period. For example, a relatively small set of data consisting of 10,000 rows (records) and 50 columns (variables) is already pretty complex for a human brain to analyze. For simplicity, suppose that every variable only holds two possible values, then our human brain must analyze 10,000x50x2 = 1 million combinations. This means that 1 million calculations must be made AND evaluated. Yet, we are not done
out of all these evaluations we must filter out interesting patterns by means of mathematical algorithms. This easy example illustrates that the human brain, how intelligent as we already are today, is unable to perform such kind of analyses.
If we transform the intelligence of a human brain into a computer algorithm then the computer is able to, like a human, perform intelligent reasoning. Moreover, the computerized brain, compared to a human brain, is much less limited to calculate and memorize operations. This is what we call Data Mining.
Based on scientific research Brains and Business develops intelligent mathematical Data Mining algorithms and employs these algorithms in user friendly, innovating and present business applications.
|