

The Core of
Meaningful Information
Leveraging Artificial Intelligence
A single platform designed to provide end to end digital asset discovery, cataloguing, insight, and automated outcomes
MiCore™ Process
Accelerating Digital Transformations and Asset Identification.
Discover and transform unknown digital assets into valuable business information.


MiCore: Analyst
– Metadata Visualization Widgets: Using a variety of visualizations (e.g. pie charts, aggregate tables, etc.), drill down by any combination of metadata attributes and entities such as sender and recipient names or domains, file types, author, date modified, and document location using a point and click interface
– Aggregate Grids: Compare two metadata attributes to uncover how they relate or discover patterns
– Storage Timeline Visualizations: Uncover usage patterns over time
– Document Similarity Visualizations: Pick a document set and visualize clusters of similar documents.
Analyst equips its users with the right tools to conduct their content assessment, clean-up, migration plan, or investigation.
– Simple but Powerful Search: Supports advanced keyword and metadata queries. Queries can use any combination of text, custodian, sender, recipient, attachment name and type, tags and other metadata across all repository type and document formats.
– Save and re-use your Queries: Full query states can be saved that include not only the query string but also the selected data sources and state of visual analytics (e.g. tables, charts, etc.). These saved queries can also be accessed by the rules engine to act on your data.
– Date Filters: Cull and organize your data based on date ranges
– Organize with Tags: Create new tags and assign them to individual or sets of documents based on queries or current selection.
– De-duplication and Document Similarity Analysis: Select one or more documents and quickly find their exact and near-duplicates. Duplicate processing can be customized and performed across different sources. Supports advanced and configurable near-duplicate analysis using various similarity detection tools.
Users can test business rules for the classification, migration or deletion of information from the stores in a non-destructive process using the Enterprise Catalogue; changes made to the catalogue cannot harm the original sources.


MiCore: Cataloguer
Cataloguer is the MiCore tool used to exhaustively collect structured and unstructured content from various information sources such as file shares, Email (Microsoft Exchange, IMAP), document management systems (OpenText Content Server, Microsoft SharePoint), WCMS (Adobe Experience Manager, Drupal, WordPress), RDBMS (SQL, Oracle, NoSQL & more), Web Servers, etc.
Cataloguer supports all types of digital assets and extracts external and internal metadata, DOM information, crypto and semantic digests and any resource and file attributes it can find. It can also extract text and entity information such as people’s’ names, phone numbers, Social Insurance Numbers, Credit Card numbers, etc.
Using advanced compression algorithms, the catalogues generated during the discovery process are extremely comprehensive while remaining very compact.



MiCore: Analyst
Analyst provides a single, unified view across the entirety of an organization’s unstructured and structured content. By assembling catalogues collected throughout the organization by Cataloguer, Analyst can create an Enterprise Catalogue — a centralized, unified perspective of all of the information holdings of an organization. Analyst users can slice information in any direction they want, dynamically building and modifying the dashboard that best serves the way they work.
Powerful Analytics at your Fingertips
Explore your collections using simple, interactive visualizations to rapidly gauge the state of your enterprise contents, determine key metrics, and discover usage patterns. Analyst has high-performance tools for detecting duplicates, derivation, plagiarism, and other types of similarity.
MiCore: Analyst
Analyst provides a single, unified view across the entirety of an organization’s unstructured and structured content. By assembling catalogues collected throughout the organization by Cataloguer, Analyst can create an Enterprise Catalogue — a centralized, unified perspective of all of the information holdings of an organization. Analyst users can slice information in any direction they want, dynamically building and modifying the dashboard that best serves the way they work.
Powerful Analytics at your Fingertips
Explore your collections using simple, interactive visualizations to rapidly gauge the state of your enterprise contents, determine key metrics, and discover usage patterns. Analyst has high-performance tools for detecting duplicates, derivation, plagiarism, and other types of similarity.





MiCore: Governor
Governor is a powerful tool for manipulating files and resources from a catalogue file or from a running instance of Analyst. Fully customizable using scripts written in either Groovy or ECMAscript. Governor works with and manipulates catalogues. It can be used to create, modify, and act on catalogues.
Some examples of its use are:
- Connecting to a RDBMS (Relational Database Management System) such as Oracle / SQL / MySQL / NoSQL and creating a catalogue of structured references.
- Classifying references based on a set of custom rules.
- Tidying up a source system based on tags assigned in Analyst
- Migrating content from a source system to a new EDMS (Enterprise Document Management System) such as OpenText, LiveLink, or SharePoint.
Governor is designed to integrate with the greatest possible number of third party systems including:
- Java client libraries,
- SOAP and REST web services,
- File systems / File Shares,
- DAV,
- IMAP,
- and command line utilities.



MiCore: Orchard
Orchard is a GUI application, which when partnered with Analyst allows users to build and deploy a customized taxonomy to enable automatic classification of their content.
- Simple Visualization: Explorer-like tree makes connections between nodes easy to see.
- Drag-and-Drop Organization: Move nodes anywhere within the tree.
- Inherited Classification: Child nodes inherit parent node classification.
- Duplicate Repeating Nodes: Simple copy/paste of nodes which occur under multiple parent nodes.
- Integrated scripting model with Groovy.
- Integrated jsoup query/parsing for real-time DOM element/class extraction.
MiCore: Orchard
Orchard is a GUI application, which when partnered with Analyst allows users to build and deploy a customized taxonomy to enable automatic classification of their content.
- Simple Visualization: Explorer-like tree makes connections between nodes easy to see.
- Drag-and-Drop Organization: Move nodes anywhere within the tree.
- Inherited Classification: Child nodes inherit parent node classification.
- Duplicate Repeating Nodes: Simple copy/paste of nodes which occur under multiple parent nodes.
- Integrated scripting model with Groovy.
- Integrated jsoup query/parsing for real-time DOM element/class extraction.



Anatomy of a Migration
White Paper

