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 Data Mining and Database Interrogation for Intelligence Gathering

The use of these procedures and the integration of our databases and software with the client’s in-house data will yield considerable End User/Customer, Distribution, Corporate, Market, Product, Financial, and Industry intelligence. The interface of the client’s databases with national & international intelligence databases produces very powerful real world data and tools for planning purposes.

Data Mining Procedures:

• Classification: This arranges the data into user groups, whereby one may get insight from common algorithms for decision trees, associative networks, Bayesian classification, neural networks, and similar processes.

• Clustering: Algorithms which group associated intelligence into networks.

• Regression: Functions which models the data to increase data reliability.

• Association Rule Learning: Hierarchical searches for relationships between variables, whereby one can measure recurring relationships, frequency, and variable weight.

• Structured Data Analysis: Structure is applied to data sets whereby one can gain insight into comparative situations, predictive situations, variable modification and manipulation, et al.

Data Mining Projects:

Data Mining Projects are established on a bespoke basis after the results of a consultative study have been produced. All the options available for structured data analysis are considered, including: