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Unified Expertise Management System Development
  1. case
  2. Unified Expertise Management System Development

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Unified Expertise Management System Development

intexsoft.com
Information technology
Business services
Financial services

Business Challenges

Rapid employee and project growth created inefficiencies in managing competencies, project experience, and client-facing documentation. Manual processes led to increased labor costs and disorganized information storage across sales, marketing, and project management departments.

About the Client

Rapidly growing technology company specializing in project management and sales optimization solutions

Key Goals

  • Create centralized repository for employee skills and project experience
  • Reduce labor costs through automation of routine documentation processes
  • Streamline information management for sales and project teams
  • Enhance client engagement through standardized CV generation
  • Support future HR module integration

Core System Capabilities

  • Employee database with skill analytics and CV generation
  • Project database with file attachments and external links
  • Advanced search filters for employees and projects
  • Skill proficiency tracking and technology adoption analytics
  • LDAP-based authentication and role-based access control

Technology Stack

HTTPS encryption protocols
LDAP directory integration
Modern web frameworks (React/Vue)
Cloud-native backend architecture
Document generation APIs

System Integrations

  • LDAP directory service
  • Microsoft Office 365
  • Google Workspace
  • Third-party project management tools

Quality Attributes

  • Enterprise-grade data security with end-to-end encryption
  • Horizontal scalability for 1000+ concurrent users
  • Sub-second search response times
  • Compliance with GDPR and ISO 27001 standards

Expected Business Outcomes

Optimized 40% reduction in administrative documentation time, 30% improvement in sales team efficiency through instant access to verified expertise data, and 25% faster project staffing decisions through advanced skill analytics. The system will maintain 99.9% uptime while supporting 500+ employees and 200+ concurrent projects.

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