Content Rationalization and Migration
Metaplus+ is an enterprise class, highly scalable Content Rationalization and Migration System. Built on the Microsoft .NET platform, it is designed to automate very large scale, heterogeneous content migration projects, harvesting, interpollating, deriving, enriching and enhancing metadata for automatic loading into SharePoint and other homogeneous content management systems. The product helps provide rigour and automation in unstructured data management for large and medium sized corporations.
Key features include:
- Enables heterogeneous content migration to SharePoint
- Identifies content duplications
- Identifies content for archiving based on rules
- Extracts, normalizes and unifies metadata, keywords and data from unstructured content
- Improves the organization and quality of existing corporate content
- Provides customized migration processes
- Enables enterprise search and reporting across distributed, heterogeneous corporate content
- Facilitates a unified storage architecture
- Enables content management governance
- Facilitates the application of content archiving policies
Managing information overload do you have these problems?
- Content storage in multiple systems
- Multiple metadata structures used
- Unstructured content is unmanaged
- Extensive duplication of content stored
- Storage capacity reaching its limits
- Enterprise Search is not effective
- Inability to find the right information at the right time
- Governance models are system based
- Inability to cross reference information between systems
- Limited or no quality assurance of content
- Inability to search across content and data
- No formal archiving policies in place
Companies have traditionally invested 80% of their Information Management efforts and dollars to manage only 20% of their enterprise information. Companies are now looking to exploit the value held in Content in the same way as with data.
Metaplus+ Key Attributes - Data Capture
Crawling Agents
- Ability to crawl all major content types, copy content and all associated metadata to the Metaplus+ database, including:
- Email systems
- File Systems
- Content Management Systems
- Web Sites

Capture Management
- Ability to manage the distribution and performance of each agent
- Ability to monitor:
- Email systems
- File Systems
- Content Management Systems
- Web Sites
Migration
Search and Indexing
Metaplus+ simplifies requirement for timely discovery with an easy-to-use browser interface (e.g. searching files and metadata)
Self-managing
Self-configuring and self-healing with automated policy enforcement, failover and ongoing integrity checks
Scalability
Content Archive Platform enterprise-class SAIN architecture, (SAN + Array of Independent Nodes), allows for seamless scaling of capacity with high availability
Metaplus+ enables you to:
- Analyse existing content, including,
- Web Pages
- Office Documents
- PDF’s
- Images
- CMS Systems
- Manipulate metadata and content structure through an intuitive web interface
- Improve Enterprise Search
- Identify duplicate content
- Identify and ‘Clean-up’ out-of-date content efficiently
- Identify content for archiving
- Providing Plug-ins to enable the migration of content to CMS and portal systems
- Providing free-text search of all content repositories and Auto-generating content summaries
- Obtain management reports accessible through an executive dashboard interface
- Running structured BI queries on unstructured content
- Produce Impact analysis of Content Management Policy changes
- Creation of Content rationalisation and archiving strategies and solutions
Managing information overload - Zoral Labs Solution
Metaplus+ the content rationalization and migration solution for SharePoint - Architecture

Metaplus+ the Process
Metaplus+ AI features summary
- Automatic Categorization of documents
- Entity Extraction (Clients, Prospects, Suppliers, Projects, Events, People, Location, Products, Services, Org Hierarchy, Topic, etc.)
- Automatic Document Summarization
- Granular, object-level sentiment analysis
- Relationship and relationship type data mining and discovery
- Automatic creation of structured data and transactions from unstructured heterogeneous documents
- Integration to client reference data and AiHit reference data
For a demonstration or further details please contact us at: sales@zorallabs.com



