Indigo DQM represents the ultimate in professional and secure data management and reporting. Featuring a significant range of expert capabilities included in an all-in-one solution, all your data requirements are satisfied with this powerful software system.

Ultimate Data Management

Indigo DQM is an information and data reporting powerhouse and includes all the tools required for managing, querying and processing data as a valuable asset and resource.

	Data Queries and Execution Plans on Demand
	Data Analysis, Extraction and Migration
	Data Consolidation, Collection and Aggregation
	Data Ingestion and Interchange
	Data Transformation and Conversion
	Data SQL, XPath, XQuery, XSLT and Python
	Data Mapping, Filtering, Sorting and Processing
	Data Reporting and Document Generation
	Data Reports in HTML, PDF, DocX and RSS
	Data Web Scraping and Crawling
	Data Mining, Harvesting and Warehousing
	Data Downloads and Feeds from the Internet
	Data Execution Plans, Logs and Auditing
	Data Automation, Scheduling and Scripting
	Data Security and Encryption
	Data Backup, Restore and Data Migration
	Data from multiple Sources and Types supported
	Data Assets Stores for multiple Data Projects

With an impressive array of features, flexible and advanced functionality Indigo DQM represents the ultimate in professional and secure Data Management and Reporting increasing business intelligence, opportunities and value.

Product Features Table

Working with Data, on or off the cloud, Indigo DQM's software platform is optimised for sensitive and secure handling of Data on both private and public networks offering far superior security and functionality to any cloud based solutions.

Whatever your type of business or organization Indigo DQM can help make the best of your most important asset.

Data Queries, Transforms and Scripting

The Data Management Engine can run queries and process data against any type of Data Source using standard relational SQL queries and / or XQuery / XPath. Indigo DQM supports multiple Data Sources and Types including Microsoft SQL Server, Microsoft Access, ODBC, OLEDB, MySQL, Oracle, Postgre, Firebird, XML, JSon, CSV, XLS and XLSX.

XQuery can be used to query Data Sources and contains a superset of XPath expression syntax to address specific parts of an XML document. The language is based on the XQuery and XPath Data Model (XDM) which uses a tree-structured model of the information content of an XML document.

XSLT and is designed for use as part of XSL, which is a stylesheet language for XML. In addition to XSLT, XSL includes an XML vocabulary for specifying formatting. XSL specifies the styling of an XML document by using XSLT to describe how the document is transformed into another XML document that uses the formatting vocabulary.

In addition to XQuery Indigo DQM can use IronPython an open-source implementation of the Python programming language which is tightly integrated with the .NET Framework. IronPython can use the .NET Framework and Python libraries, and other .NET languages can use Python code just as easily. Python Scripting can be used to Query, Analyze and Transform Data Sources.

Data Security

Indigo DQM is the most secure way to manage, query, process and report on your Data Assets.

Because Indigo DQM is a software application that is installed on private computers it has the best security for managing Data on both private and public networks where Data security is of the utmost concern and priority.

Delivering a far higher level of security and functionality than any cloud based solutions Indigo DQM ensures your Data Assets are protected at all times.

Data Transparency

The Indigo DQM Data Management Engine is unique in its ability to handle multiple Data Sources and Types simultaneously making it transparent to virtually all Data Sources.

Indigo DQM can read, write, convert and translate data into many different formats and types allowing data to be compatible between different applications and databases. The ability to easily access, process and work with data no matter where it is located or what application created it makes Indigo DQM unique.

Data Encryption

Featuring AES 256 Encryption your Data Assets can be stored and transmitted across the Internet / Cloud in the most secure way possible.

The Advanced Encryption System (AES) 256 is a symmetrical encryption algorithm that uses a 256-bit Encryption Key. It is accepted by the U.S. and Canadian governments as the most secure way to store sensitive Data.

With AES-256 bit encryption you can be assured that you will be the only one who can access your critical information.

Data Consolidation and Ingestion

Data consolidation allows the collection and integration of data from multiple sources into a single destination. During this process, different data sources and types are put together, or consolidated, into the Indigo DQM Data Store.

Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. Indigo DQM makes both these tasks effortless!

Data Mapping, Filtering, Sorting and Processing

Data Filtering is the process of choosing a smaller part of a Data Set and using that subset for viewing or analysis. Data Sorting is the process that involves rearranging the Data into some meaningful order to make it easier to understand, analyze or visualize. Data Source Mapping can be used to map data and add additional custom Data Columns to a Data Table using formulas, expressions and queries.

When working with Data, Indigo DQM's Sorting and Filtering methods make it easy to visualize data in a form that makes it easier to comprehend the story the Data is telling.

Data Mining

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.

Web Data Scraping and Crawling

Web scraping is used for content scraping and data extraction, and as a component of applications used for web indexing, data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.

Data Warehousing

Data warehousing emphasizes the capture of data from diverse sources for useful analysis and access. Indigo DQM can create and manage Data warehouses / marts for query, analysis and reporting.

Data Transformation

Data transformation is the process of converting Data from one format (e.g. a database file, XML document, or Excel sheet) to another. Typically Data often resides in different locations and formats so Data transformation is necessary to ensure Data from one application or database is intelligible to other applications and databases.

The Data Management Engine can process XSLT (Extensible Stylesheet Language Transformations) which is a language for transforming XML documents into other XML documents or other formats such as HTML for web pages or plain text.

Indigo DQM can convert and translate Data into many different formats and types allowing Data to be intelligible and interchangeable between different applications and databases. The ability to easily access and work with data no matter where it is located or what application created it makes Indigo DQM unique...

Electronic Data Interchange

Indigo DQM can convert and translate Data into many different formats and types allowing Data to be intelligible and interchangeable between different applications and databases.

The ability to easily process and work with data no matter where it is located or what application created it makes Indigo DQM unique and opens up endless opportunities to businesses that may be accessing and sharing their data via a variety of different data platforms.

Data Reporting and Document Generation

Indigo DQM Data Management System uses the Indigo DRS Data Reporting and Document Generation System to create advanced reports, charts and documents.

Indigo DRS is an advanced reusable Data Reporting and Document Generation platform that represents the ultimate in Data Reporting and is an information and Data Reporting powerhouse. Indigo DRS is totally unique in its ability to Query in both XQuery and Python and use Data from multiple Data Sources and Types simultaneously.

Advanced reporting features, unmatched functionality, flexibility and effortless integration of this technology into your projects you can be assured of having the best reporting capabilities.

The optional Indigo DRD Report Designer Tools, not included, can quickly create advanced reports rich in content with many options for styling, formatting and customisation. Tables, Charts and Graphs can be added to the report effortlessly allowing complex data to be presented in a visual and meaningful format with the minimum of effort.

Indigo DRS reports give the best functionality and compatibility and because they use standard HTML for reporting the reports can be displayed on any type of device and in any type of browser.

Data Migration

Data migration is seamless with Indigo DQM which can map and transfer data between different formats, storage systems and types. 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 you’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.

Data Execution Plans

Execution Plans can run multiple Data Command Queries against multiple Data Sources in one operation. This powerful feature allows Data from different locations to be brought together into one result with the outputs being available for snapshots, saving, migration and reporting.

Data Scripting with IronPython

Indigo DQM Data Management Engine can run IronPython Scripts for additional Data Processing. IronPython is an implementation of the Python programming language targeting the .NET Framework and Mono.

Data Automation

Data Commands and Execution Plans can be scheduled to Execute automatically. This allows automation of certain operations such as downloading a Data Feed from the Internet.

Data Execution Log

Indigo DQM includes an Execution Log which keeps a detailed record of what queries and plans have been run, by whom and when. Additionally Snapshots of the Data can be taken at the time of execution allowing a Data state record to be kept over time for analysis and comparison.

Data Assets Store

Data Assets are stored in a shared Data Repository for shared access, editing, reporting and execution. The Indigo DQM Data Asset Store allows Data Queries, Data Sources, Data Reports and Execution Plans to be organized into Data Folders for the most effective management and availability of Data Assets.

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*NOTE: Indigo DQM is compatible with the Indigo DRS Data Reporting and Document Generation System. However, Indigo DQM does not include the Indigo DRS Report Designer Tools or the Reusable Report Engine Component SDK these are optional extras that require licensing separately!