IROSOFT INTELLIGENCE

Solutions
Examples

Solutions Adapted to your Needs

20 to 30%
operating costs come from poor data quality.

- Source: Big Data News.

Docuthèque

It is vital for businesses to perfectly control its data

Data Acquisition Platform

Sharing and Collaboration

  • Remote access to content using tablets and mobile phones via CMIS and offline
  • Collaborative and annotative tools
  • Automatic PDF, PDF/A conversion
  • Configurable notifications (activités document/folder activity and access)

Intelligent Storing and Archiving

  • Absence of supplicates and digital debris
  • Long-term preservation of the information’s quality
  • Automatic metadata capture via Microsoft® Office smart templates
  • Complete document and version life cycle management (digital and physical content)

Compliance
A better control of information that enables regulation compliance and standard certification

Strengthened Security

  • Sensitive document preservation
  • Access rights management (via inheritance)
  • Password-protected signature
  • Digital fingerprint that ensures content integrity

FUNCTIONALITIES

Guidelines, Standards, and Legislative Frameworks

Hybrid Content Management (Digital and Physical)

  • Complete document life cycle management (digital and physical content)
  • Version control
  • Universal display interface to preview documents without having to launch the native application
  • Automatic PDF, PDF/A conversion
  • Complete activity log
  • Bilingual interface (French, English)
  • Online documentation and tool tips

Governance and Records Management

Governance and Records Management

  • Automatic classification
  • Unlimited number of retention schedules and classification schemes
  • Unlimited number of warehouses, physical and digital folders, and documents
  • Several predefined reports, including BAnQ, labels, etc.
  • Loan management
  • Compliance to the spirit of standards, such as ISO 15489, RDDA, CRGGID, SMQ, L.R.Q C-1.1, etc.

Metadata Search and Management

Metadata Search and Management

  • Metadata entered automatically via Microsoft® Office smart templates
  • Simple and advanced search (full text, metadata, and annotations)
  • Web semantics-oriented, centralized registry to manage metadata profiles
  • Metadata inheritance

Collaboration

Collaboration

  • Collaborative and annotative tools
  • Discussion forum
  • Remote content access
  • Paperless Meetings module
  • Configurable notifications (document/folder activity and access)

Connectivity

Connectivity

  • Native integration into Microsoft®Office®, including Outlook® for email management
  • Native integration into Microsoft® SharePoint®
  • Connectivity with GroupWise®, Lotus Notes®, LibreOffice®, AutoCAD®, Adobe® Acrobat, WordPerfect®, etc.

Web and Mobile Publication

Web and Mobile Publication

  • Web search, publication, and publication online as well as open data via RESTful
  • Remote access to content using tablets and mobile phones via CMIS

Security and Integrity

Security and Integrity

  • Password-protected signature
  • LDAP/Active Directory/SSO support
  • Several security levels (inherited) and access by role and group
  • Digital fingerprint that ensures content integrity

Scalability

Scalability

  • Scalable database, up to several terabytes
  • Ability to manage several thousands of users

Technical Characteristics

Caractéristiques techniques

  • Windows XP or later (32 and 64 bits)
  • Internet Explorer 8.x or later
  • API SOAP, CMIS and REST

Guidelines, Standards and Legislative Frameworks

Guidelines, Standards and Legislative Frameworks

  • ISO 15489 standard on Information and documentation—Records management
  • MoReq2
  • RFC 1738
  • Avery 5159, 5162 & 5168
  • Personal Information Protection and Electronic Documents Act (2000, c. 5) — PIPED
  • L.R.Q., c. A-2.1—Act respecting access to documents held by public bodies and the protection of personal information
  • L.R.Q., c A-21.1—Archives Act
  • L.R.Q., c P-9.002 – Cultural Heritage Act (Protected objects Act)
  • Directive sur la sécurité de l’information gouvernementale (Directive on government information security), April 11, 2006
  • L.R.Q., c. C-1.1 —Act to establish a legal framework for information technology
  • Canada Evidence Act (R.S.C., 1985, c. C-5)
  • RDDA (Règles de Description Des Archives) et SMQ (Info-Muse from Société des Musées du Québec)
  • Cadre de référence gouvernemental en gestion intégrée des documents (CRGGID—Governmental frame of reference on integrated document management)
  • Governmental metadata profiles
  • Bibliothèque et Archives nationales du Québec (Quebec library and archives)

PAPERLESS MEETINGS

More Efficient and Collaborative Meetings

Sharing and Collaboration

  • Intuitive and complete interface
  • Unlimited access for users as well as committee and board members
  • Creation of agendas and calendars with notifications to members

Strengthened Security

  • High-level of protection for confidential information
  • Authenticity of documents via a password-protected signature

Compliance

  • Version control and automatic capturing of data stored on the Cloud
  • Compliance with the Act to establish a legal framework for information technology requirements

Solution for valorization
of non-structured information

Extract. Valorize. Enrich.

SLS is a document structuring solution designed to acquire, enrich, and analyze a very large body of information. It enables users to bulk import documents as well as structure, analyze, and manipulate them.

Used techniques
Machine learning
NLAP
Automatic classification
Metadata Extraction
Structured and exploitable repository
Enriched and structured corpus

Example

Initial Observation:
Corpus polluted by digital debris, uncontrollable exploitation costs.

Techno-Linguistic Toolbox

Tools adapted to your needs.

The Techno-Linguistic Toolbox is a group of technologies and algorthims developed over the years that we grouped under the same name

Examples of created algorithms

  • Analysis of non-structured text to automatically recognize and extract metadata
  • Vocabulary extraction for a given field: considering a group of texts categorized under different themes, we extract the field-specific vocabulary
  • Aggregation of similar documents
  • Automatic document classification
  • Metadata extraction