Data Management, Data Query, Data Processing, Data Mining, Web Scraping and Data Reporting Software by Indigo DQM
 
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Featuring Advanced Data Management, Reporting and AI

 
Data Management Overview
Data Reporting Overview
Data Management Tools
Data Queries and Processing
Data Reporting and Documents
Data Statistics and Analysis
Data Consolidation, Aggregation
Data Ingestion / Conversion
Data Mapping, Filtering / Sorting
Data Migration
Data Warehousing
Data Mining / Harvesting, ETL
Data AI, Machine Learning
Data Web Scraping
Data Interchanging
Data Backup and Restore
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Data Mining by Indigo DQM

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 customer segments.

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.

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