Indigo DQM Data Management System (DMS) represents the ultimate in professional and secure data management and reporting. Our software empowers data with a significant range of expert capabilities included in an all-in-one solution all your data requirements are satisfied with this powerful software system.
Featuring advanced query, processing and reporting capabilities with AI / Machine Learning* our software is designed to maximise data assets, increase business value and intelligence.
Working with data, on or off the cloud, Indigo DQM's secure application 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.
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.
Indigo DQM Advanced Features
- Data Queries and Execution Plans on Demand
- Data Management of all Data Types and Sources
- Data Analysis, Extraction and Migration
- Data SQL, NoSQL, XPath, XQuery, XSLT, JSon and Python
- Data Transformation, Conversion and ETL
- Data Mapping, Filtering, Sorting and Processing
- Data Manipulation, Modelling and Forecasting
- Data Artificial Intelligence / Machine Learning*
- Data Reporting and Document Generation
- Data Reports in HTML, PDF, DocX and RSS
- Data Consolidation, Collection and Aggregation
- Data Ingestion, Conversion and Interchange
- Data Web Scraping and Crawling
- Data Mining, Harvesting and Warehousing
- Data Downloads and Feeds from the Internet
- Data Outputs, Writing and Publishing
- Data Backup, Restore and Data Migration
- Data Execution Plans, Logs and Auditing
- Data Automation, Scheduling and Scripting
- Data Security, Encryption and Password Management
- Data File Packaging, Compression and Encryption
- Data Assets Stores for multiple Data Projects
Indigo DQM Applications and Usage
- Data Management, Query and Reporting
- Data Analysis, Information and Statistics
- Data Processing, Security and Encryption
- Sales Prospecting and Marketing Tool
- Customer, Client and Product Analysis
- Financial Data, Trends and Market Analysis
- Management Information Reports
- Data Mining and Harvesting
- Web Data Scraping and Crawling
- Business Information and Data Intelligence
- Scientific Research and Experiments
- Data Harvesting and Warehousing
- Data Migration to other systems / platforms
- Database Administration and Reporting
- Data Outputs, Reports and Publishing
- Software Development and Design
- Quality Assurance Engineering
- Business Intelligence and Data Analytics
- Educational and Training Tool
- Electronic Data Interchange
- Plus much more .
Indigo DQM Benefits and Advantages
- Maximises Data Assets
- Increases Business Value and Intelligence
- Rapid Data Report Development
- Boosts Competitive Advantage
- Reduces Business Costs
- Centralizes Technology Solutions
- Manages any Data Source and Type
- Superior Data Security
- Consolidation of Data
- Seamless Migration of Data
- Effortless Data Conversion
- Publish Data and Reports Globally
- Reusable Reporting platform
- Complete All-In-One Solution
- Secures and Encrypts Data Assets
- Reduces IT and Support Overhead
- Total Data Expertise and Intelligence
The ability to easily access and work with data no matter where it is located or what application created it makes Indigo DQM unique. This opens up endless opportunities to businesses using various different platforms ensuring the best is made of important business data.
Whatever your type of business or organization our software can help make the best of your most important asset.
Indigo DQM Technology
Indigo DQM's core Data Management Engine (DME) is a reusable .NET SDK software component library which is an information and data reporting powerhouse totally unique in its ability to query and manage multiple data sources and types simultaneously.
Our Data Management Engine efficiently manages and consolidates all your Data Assets in a central shared Data Store for the most efficient and effective Querying, Processing and Data Reporting.
The reusability allows Data Asset Stores to be shared between applications and / or websites in the .NET framework using the Indigo DQM core Data Management Engine which can also be built into and reused separately in other projects.
Indigo DQM can read, write, process, convert and translate data into many different formats and types allowing data to be compatible between different applications and databases.
The powerful Data Management Engine can run queries and process data against any source and type using standard relational SQL queries and / or XQuery / XPath and Python. Indigo DQM supports data from multiple different sources and types simultaneously including Microsoft SQL Server, Microsoft Access, ODBC, OLEDB, MySQL, Oracle, Postgre, Firebird, XML, JSon, XLSX and CSV.
XQuery can be used to query data 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. Python scripting can be used to
query, analyze and transform data.
Indigo DQM Data Management Engine (DME) can use Python for Machine Learning / AI and Statistical Modelling.
An optional add-in software component for Indigo DQM facilitates the use of the Accord .NET Framework for Machine Learning and enhances the presentation and formatting of data making it suitable for enhanced reporting and analysis.
Data Consolidation, Ingestion and Aggregation
Indigo DQM manages data consolidation by allowing the query, collection and integration of data from multiple data sources and types into a single destination. During this process, different data sources are put together, or consolidated. Data aggregation is the compiling of information from databases with intent to prepare combined datasets for data processing.
Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. Indigo DQM makes all these tasks effortless!
Data Mapping, Filtering and Sorting
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.
Data Manipulators provides methods to prepare and manipulate data for technical analysis, apply formulas on the data and prepare output data. Advanced formulas and financial analysis such as forecasting can be used to output forecast data and trends.
When working with data, Indigo DQM's advanced filtering and sorting methods make it easy to visualize data in a form that makes it easier to comprehend the story the data is telling.
Data Reporting Tools*
Indigo DQM Data Management Systems uses the separate Indigo Scape DRS Data Reporting and Document Generation System to create advanced Data Reports.
Representing the ultimate in reporting software our advanced technology and reusable reporting platform is a powerhouse in data reporting. Indigo DRS is totally unique in its ability to query in both XQuery and Python and use data from multiple sources and types simultaneously making it the only choice for demanding business, financial, scientific and engineering reporting.
With advanced reporting features, unmatched functionality and effortless integration of this powerful software technology into your business you can be assured of having the best reporting capabilities!
The optional Indigo DRS Report Designer, 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.
In addition to the Report Designer, Indigo DRS also includes a selection of powerful Report Management Tools and utilities to assist with the design, development, implementation and deployment of reports and the querying of report data.
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.
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 Commands and Execution Plans can output and automatically save
data and reports in various formats including HTML, PDF, RSS, XML,
JSon, XLSX and CSV. This content can be saved locally, to a network
location or uploaded to web servers on Internet / Intranet allowing
the automatic distribution of content, reports and data.
Data Execution Log
Indigo DQM includes a detailed Data Execution Log of all the executed Data Command Queries and Execution Plans in the Data Asset Store. Execution Logs record information including User Name, Computer, IP Address and Execution Time.
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 Transparency
Indigo DQM's Data Management Engine (DME) is unique in its ability to handle data from multiple different sources and types simultaneously making it transparent to virtually all data.
The ability to easily access, process and work with data no matter where it is located or what application created it makes Indigo DQM a unique software solution. Our software can read, write, convert and translate data into many different formats and types allowing it to be compatible between different applications and databases.
Data File Packaging, Compression and Encryption
The File Package and Deployment Manager is a tool for deploying multiple files into a compressed ZIP File with the option to encrypt the packaged files using AES 256 Advanced Encryption.
Data Files can be packaged and deployed rapidly and data assets protected with encryption with this powerful tool.
Data Security, Encryption and Password Management
Indigo DQM is the most secure way to manage, query, process and report on your Data Assets with 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.
Featuring AES 256 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.
The Password Management Tool allows passwords to be securely stored in an encrypted data file. With AES-256 bit encryption you can be assured that you will be the only one who can access your critical information.
Data Assets Stores
Indigo DQM's Data Asset Store (DAS) is a Database that contains all the Data Command Queries, Data Folders, Data Sources, Data Reports, Data Execution Plans and Execution Logs in a shared Data Asset Repository (DAR).
Data Asset Stores are essentially Data Projects with purpose of consolidating Data Assets into a shared repository for the most efficient and effective data management and data reporting.
Data Queries, Data Sources, Data Reports and Execution Plans can be organized into Data Folders for the most effective management and availability of Data Assets.
Data Consolidation allows the collection and integration of data from multiple sources and types into a single destination. During this process, different data sources and types are put together, or consolidated, into the Indigo DQM Data Asset Store.
Indigo DQM allows multiple Data Assets Stores and Data Projects to be configured with Data Asset Stores Tool. Data Stores can be easily added, edited, deleted and activated.
Installation requires any Win32 or Win64 operating system (server or workstation): Windows Vista, Windows 7, Windows 8, Windows 10 or Windows Server 2003, 2008, 2012 etc.
Compatibility
The system is compatible with data on most operating systems such as Windows, Linux, Unix, Mac OS etc. using ODBC, XML, CSV and JSon.
Licensing
One software license is required per user. Run time licenses and server licenses are required for the Data Management Engine SDK.
Compatibility
Operating Systems for Deployment
Windows 2012
Windows 2008
Windows 10
Windows 8
Windows 7
Windows Vista
Windows 2003
Windows
XP
Architecture of Product
32Bit, 64Bit
Tool Type
Application
Business Function
Data Management,
Data Query,
Data Processing,
Data Reporting
Data Analysis,
Data Mining
Microsoft
SQL Server
MySQL
Oracle
Postgre
Firebird
ODBC
OLEDB
XML
HTML
Reporting Formats
HTML,
PDF, RSS
RDL
*NOTE: Indigo DQM is compatible with the Indigo DRS (Data
Reporting System). However, Indigo DQM does not include the Indigo
DRS Report Designer Tools or the reusable Report Engine component
library SDK these are optional extras that require licensing separately!
AI / Machine Learning require a separate licensing entitlement to
be purchased!