Knowledge Management
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Enterprise Knowledge Management
Unify siloed data, enrich metadata, relate records, and create a secure role-aware enterprise knowledge base.
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Centralpoint automates enterprise knowledge management by centralizing siloed data, enriching each record with metadata and classification, and relating disparate records into a harmonized knowledge base tailored to each user based on their role, audience, permissions, and business context.
Rather than allowing enterprise knowledge to remain trapped inside SharePoint sites, file shares, databases, cloud repositories, emails, portals, and departmental systems, Centralpoint can aggregate, index, mine, enrich, classify, crosswalk, and govern records across the organization.
The result is a secure, role-aware, Wikipedia-like knowledge base where users can discover related information, navigate dynamic hyperlinks, follow reverse relationships, and access only the records they are authorized to see.
Centralpoint turns disconnected enterprise content into actionable knowledge. By combining aggregation, data mining, metadata enrichment, ontology, taxonomy, role-aware security, and dynamic record relationships, Centralpoint helps organizations transform scattered information into a governed knowledge ecosystem.
Enterprise Knowledge Management Across Siloed Data
Most organizations store knowledge across many different systems. Important information may live in SharePoint, Microsoft 365, file folders, SQL databases, Oracle systems, websites, portals, emails, document repositories, learning systems, HR platforms, financial systems, and custom applications.
Centralpoint uses automated and scheduled tasks to aggregate both structured and unstructured data from these silos. Once records are indexed or ingested, Centralpoint can enrich them with metadata, taxonomy, classification, security, relationships, and business rules.
This creates a federated knowledge layer where records can be searched, related, governed, and discovered according to each user’s role and rights.
A Secure Enterprise Wikipedia
Centralpoint can act as an organization’s own enterprise Wikipedia, but with enterprise governance, security, permissions, workflows, metadata, and role-aware access built in.
Users can discover related records through dynamic hyperlinks, reverse hyperlinks, crosswalks, taxonomy relationships, metadata connections, and classification rules. A policy can relate to a form, a form can relate to a workflow, a workflow can relate to a department, and a department can relate to records, reports, experts, and procedures.
Unlike a public wiki, access remains governed. Each user only sees the content appropriate to their role, audience, department, security clearance, location, or business relationship.
Metadata, Ontology & Classification
Centralpoint’s knowledge management capabilities are built around metadata, ontology, taxonomy, and classification. These structures allow records from disparate silos to be understood, organized, related, and discovered as part of a broader enterprise knowledge system.
Relationships can be controlled by business rules, metadata values, taxonomy categories, ontology models, audiences, workflow states, security rules, and content classifications.
This enables organizations to build living knowledge models that reflect how their business actually works rather than forcing all information into a single rigid repository.
Data Cleaner & Continuous Knowledge Improvement
Centralpoint Data Cleaner allows organizations to improve cognitive relationships over time. It can support automated cleansing rules, phrase replacement, misspelling correction, terminology normalization, synonym handling, metadata cleanup, and content standardization.
This allows Centralpoint to act like an organizational Grammarly for governed content, helping improve the quality, consistency, and discoverability of enterprise knowledge.
As content quality improves, search accuracy, relationship mapping, classification, reporting, governance, and user trust improve with it.
Role-Aware Knowledge Delivery
Knowledge management is most valuable when each user receives the information that matters to their role. Centralpoint can organize and deliver knowledge based on audiences, roles, departments, permissions, responsibilities, locations, security, and business context.
Executives, employees, managers, compliance teams, legal departments, HR users, public visitors, partners, customers, and administrators can all interact with the same governed knowledge ecosystem while seeing different results based on their access and relevance.
This supports secure knowledge delivery across public websites, private portals, employee intranets, customer portals, secure extranets, and departmental knowledge bases.
SharePoint, Project Cortex & Microsoft Viva Alternative
Microsoft Project Cortex and Microsoft Viva attempt to address the challenge of discovering, classifying, and connecting knowledge inside Microsoft environments. Centralpoint addresses the broader enterprise problem: knowledge does not only live in Microsoft 365.
Organizations often need to manage knowledge across SharePoint, cloud repositories, file folders, databases, web portals, third-party systems, line-of-business applications, and on-premise environments.
Centralpoint provides an alternative approach by allowing organizations to aggregate, enrich, classify, govern, and relate content across many systems while supporting on-premise, private cloud, or hybrid deployment models.
Control Over Your Knowledge Rules
An organization’s knowledge model is a strategic asset. Classification rules, workflows, metadata logic, alert rules, taxonomy, business relationships, and governance policies reflect how the organization operates.
Centralpoint allows organizations to keep those rules close to the vest while still operationalizing search, knowledge discovery, workflow, alerts, governance, and role-aware delivery.
This provides choice and control over where knowledge is managed, how it is enriched, which systems are connected, and how intelligence is delivered to each audience.
Knowledge Management for Enterprise AI
Modern AI systems depend on reliable enterprise knowledge. Before AI assistants, chatbots, copilots, or Retrieval Augmented Generation workflows can deliver trustworthy answers, organizations need well-governed, enriched, role-aware, and searchable enterprise content.
Centralpoint’s knowledge management foundation supports enterprise AI by helping organizations prepare content for search, retrieval, governance, classification, permissioning, metadata enrichment, and contextual answer generation.
Rather than relying only on generic AI models, organizations can ground AI experiences in their own governed knowledge base.
Frequently Asked Questions
What is enterprise knowledge management?
Enterprise knowledge management is the process of organizing, enriching, governing, securing, relating, and delivering organizational knowledge so users can find the right information at the right time.
How does Centralpoint create a knowledge base?
Centralpoint can aggregate structured and unstructured data from multiple systems, index it, enrich it with metadata, classify it with taxonomy, apply security rules, and relate records through dynamic links and business rules.
What does role-aware knowledge mean?
Role-aware knowledge means each user receives information based on their permissions, audiences, departments, responsibilities, and business context. Users only see content they are authorized to access.
Can Centralpoint work with SharePoint?
Yes. Centralpoint can aggregate, index, enrich, and govern information from SharePoint along with many other enterprise systems and repositories.
How is Centralpoint different from Microsoft Cortex or Viva?
Centralpoint is designed to connect knowledge across many systems and deployment models, not only Microsoft cloud environments. It supports on-premise, private cloud, and hybrid approaches while preserving governance and role-aware access.
How does knowledge management support AI?
AI depends on accurate retrieval. Centralpoint helps prepare enterprise content for AI by improving metadata, classification, security, searchability, governance, and knowledge relationships.
Built Around Governance & Operational Control
Centralpoint’s knowledge management capabilities are built around governance, metadata, taxonomy, workflow, security, role-aware delivery, data mining, aggregation, and enterprise information control.
Rather than forcing every record into one vendor ecosystem, Centralpoint helps organizations govern knowledge wherever it lives while making that knowledge searchable, related, actionable, secure, and relevant to each user.
As organizations move toward AI, knowledge discovery, digital transformation, and governed enterprise search, Centralpoint provides the foundation for creating a living, secure, role-aware knowledge base across the enterprise.