Data Mining is the process of analysing data from different
perspectives and summarizing it into useful information.
This information can be used to increase business intelligence,
revenue, cuts costs, or both.
Indigo DQM's Data Mining capabilities allows users
to process and report on data from many different dimensions
or angles, categorize it, and summarize the relationships
identified. Technically, data mining is the process
of finding correlations or patterns among dozens of
fields in large relational databases.
Data Mining and Data Harvesting is primarily used
today by companies with a strong consumer focus - retail,
financial, communication, and marketing organizations.
It enables these companies to determine relationships
among "internal" factors such as price, product positioning,
or staff skills, and "external" factors such as economic
indicators, competition, and customer demographics.
And, it enables them to determine the impact on sales,
customer satisfaction, and corporate profits.
Finally, it enables them to "drill down" into summary
information to view detail transactional data. With
data mining, a retailer could use point-of-sale records
of customer purchases to send targeted promotions based
on an individual's purchase history. By mining demographic
data from comment or warranty cards, the retailer could
develop products and promotions to appeal to specific
The Indigo DQM Data Management Engine is unique in
its ability to harvest multiple Data Sources and Types
simultaneously and can process Microsoft SQL Server,
Microsoft Access, ODBC, OLEDB, MySQL, Oracle, Postgre,
Firebird, XML, JSon and CSV making it transparent to
virtually all Data Sources.
The ability to easily access and work with data no
matter where it is located or what application created
it makes Indigo DQM unique... The
Data Management Engine can run Data Queries against
any type of Data Source using standard relational SQL
queries and / or XQuery / XPath.
The impressive array of features and advanced
functionality make DQM the ultimate Data Management
and Reporting System.