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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
	Data Security and Encryption

Indigo DQM News Page

Data Management
The DQM data management system allows multiple data queries and reports to be stored and organized in a shared repository allowing critical information to be available on demand across networks. The Indigo DQM Data Management Engine is unique in its ability to handle multiple Data Sources and Types simultaneously. Furthermore the impressive array of features and advanced functionality make it like no other. 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 query engine can run queries against any type of Data Source using standard relational SQL queries and / or XQuery / XPath.
Data Transparency
Indigo DQM supports multiple Data Sources and Types including Microsoft SQL Server, Microsoft Access, ODBC, OLEDB, MySQL, Oracle, Postgre, Firebird, XML 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... Supported formats for the data query outputs are CSV, XML, HTML and RDL. Custom RDL reports can be used to generate advanced management and statistical analysis reports for the data queries.
Data Consolidation
Data consolidation allows the collection and integration of data from multiple sources into a single destination. During this process, different data sources are put together, or consolidated, into a single Data Store.
Data Migration
Data migration is seamless with Indigo DQM which can translate and map data from one Data Source or format to another. Data migration can also be included in Execution Plans so multiple migrations can be performed in one go. Typically Data migration takes 30 to 40 percent of the effort in any new application project. Whether youâ€™re implementing an entirely new enterprise application or consolidating, upgrading, or modernizing an existing one, Indigo DQM data migration effortlessly handles all migration requirements ensuring your projects are a success.

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