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Technical Benefits
Autonomy Service Dashboard
User Interfaces
Connectors
Administration
Voice & Video
Europe
Asia-Pacific
VAR & SI Partners
User Interfaces
Connectors
Administration
Voice & Video
 
CEN Functionality
Personalization
Automated Explicit User Profiling
Automated Implicit User Profiling
Cross-device Profiling
Expertise Networks
Expertise Location
Communities of Practice
Free-text Expertise Assignment
Collaboration Networks
Virtual Communities
Collaborative Feedback
Virtual Libraries
Proactive Document Recommendation
Enterprise Performance Management
CEN Cluster Mapping
CEN Visualization
Network Profiling
Alerting
Alerting via E-mail, Internet, SMS, Mobile, PDA
Desktop Suite
Peer-to-Peer
Auto-Answer
Legacy Integration
Integration with legacy collaboration systems
CEN Benefits
Retain control and true insight of all the business activities regardless of scale
Understanding who the experts are in the organization and who should collaborate
Build a culture of accountability
Eliminate the threat of communication breakdown and duplication of effort
React to information changes faster through automatic delivery and personalization of timely and relevant data
Identify knowledge gaps
Integrate multiple expertise repositories
Reconcile collaboration schema

Collaboration & Expertise Networks - CEN

Autonomy's Collaboration and Expertise Networks - CEN, leads the way in delivering a powerful infrastructure solution that enables organizations of any size and complexity to automatically discover, visualize and effectively manage a cohesive community, driving individuals and teams of people effectively at every stage of the value chain towards their goals.

The Issues

"...the fragmentation of the collaboration market has led to many ways of representing collaboration, which results in fragmented systems and an increasing reliance on people to bridge the gaps between systems" - Dan Rasmus, Giga Information Group

The successes and failures of B2B, B2E and B2C tools, - including Intranet, KM, CRM, ERP and EIP applications - has highlighted that identifying and managing the interactions between people and the information they read, create and share, is just as important as providing the information in the first place.

However, until recently, organizations have been forced to deploy legacy collaboration solutions that are heavily reliant on people describing their areas of interest using either a list of predefined keywords or through the filling out of forms.

This approach incurs significant manual intervention and ignores the root cause of the challenges organisations face when trying to maximise the efficiency and expertise of their people using technology: computers nor manual legacy software understands the content of information itself or the behaviours of users, all of whom have multiple interests and requirements which change unpredictably.

Furthermore, the wide availability of fragmented collaboration solutions, from instant messaging, chat facilities, and work flow to personal/team calendaring, (each with their own incompatible proprietary expertise repository, non-uniform schemas and distinctive interfaces), inadvertently promotes the segregation of information and expertise repositories, further hindering the elevation of best practices and interoperability within organizations.

The Solution

"the current modes of operation... do not reflect the way people work...[computers], must gain an understanding of the content they store and serve, including its context. More importantly, computing devices must gain an understanding of context related to their users." - Dan Rasmus, Giga Information Group

With the advent of Autonomy's Collaboration and Expertise Networks, organizations now have the ability to automatically form a contextual understanding of people's interests, behaviour and on-going interaction with any type of information, regardless of format, location or device.

Delivering a new breed of intelligent information technology to drive personalization, collaboration and expertise, CEN provides a data agnostic infrastructure solution that automatically combines the power of all the information assets in the organization, seamlessly facilitating interoperability between all isolated collaboration applications, data repositories and people. CEN in turn helps organizations regain true insight and control of all the business activities, enabling them to proactively understand who the network of experts are and who should collaborate.

Personalization

There is a direct correlation between the time it takes to make a business decision and the amount of time and effort needed to gather the data input for the decision. The ability of a knowledge worker to monitor, decide and act across the value chain faster than competitors creates a sustainable business advantage.

Accurately link people & information "in context", in real time, using concepts identified from:

  • Explicit Profiling

    Registered explicit interests determined by individual using:

    • Natural Language Description
    • Refine by example
    • Keyword and Boolean Operators
  • Implicit Profiling

    Implicit behaviour, i.e. consumption of information inc. reading, creating, sharing of information adds further insight into each user's activities and interests.

  • Cross-device Profiling

    Profiling can take place across multiple devices. A profile generated through a user's interaction with Mobile Phone/ PDA content for example can then be used to recommend Internet content on the Web or news content via email or SMS.

Expertise Networks

Employees in large-scale geographically dispersed offices typically have a limited view of what others are doing and who is best to address problems they encounter.

Losing sight of the knowledge community weakens the entire business process, leading to duplication of effort and an overall reduction in productivity levels. CEN overcomes these limitations facilitating the recognition of highly focused experts within the knowledge community:

  • Expertise Location

    • Locate experts using example data (documents, e-mails etc.)
    • Discover tacit knowledge through natural language querying
    • Identify experts using Legacy Keyword and Boolean Rules
    • Find experts based on geographic location, department, availability
  • Communities of Practice

    Each member of the community has the ability to proactively define their own expertise using natural language definitions. The information rich concepts identified from these definitions are updated within the user's own profile and further contributes towards finding the right expert in that organization. The ability to define roles, skills and expertise can also be performed using Keywords.

Collaboration Networks

CEN overcomes business process myopia and focuses organizations on building communities of expertise, driving collaboration and bringing employees together into discussion forums to realize goal congruence, the reduction of duplicated effort and increasing productivity levels.

  • Virtual Communities

    Build entire Collaboration Networks matching users with common explicit or implicit user profiles or even proactive expertise assignments.

  • Similar People in the Community

    CEN notifies users of other people in the community who have been consuming the same type of data as they have, utilizing either the implicit/explicit consumption of information or combining both, to discover synergies between people.

  • Collaborative Feedback

    Based on constructive collaborative feedback from the community, Virtual Libraries are created that ensures that only the most highly regarded information is biased in any results from information that is of less significance:

    • Document Recommendation using natural language citation
    • Document Rating / Scoring

Enterprise Performance Management

In order to keep track of these organizational activities and monitor the business process, the automated enterprise will need real-time performance measurement tools to enable real-time analysis and management of its most valuable resources - information and the people that interact with that data.

CEN presents EPM results as customizable graphics and displays the innumerable correlations that exists between the interactions of users and the information they process in a single field of view: