Key Challenges

  • Email workflow
  • No single consistent source of data
  • Data stored in many disparate enterprise systems
  • Poor data quality
  • Inconsistent and inaccurate analysis and outcome prediction
  • Human-centric analysis and bias
  • Loss of human capital
  • Decision fatigue and delivery volatility
  • Unnecessary management effort

Key Requirements for SQA

  • Provision of Enterprise data normalisation & ETL engine
  • Provision of Full real-time visualisation & analytics capability for any data source
  • Provision of Natural language interface (voice and text)
  • Provision of Decision recommendation engine
  • Provision of Decision automation

Solution Provided

  • Outbound / Inbound Template Treatment, Collation of Information, Categorisation, Prioritisation, Reformatting and Presentation leading to:
    • Enhanced Transparency
      • Single View
        • Data Visualisation
        • Data Normalisation
        • Data Aggregation
      • No Ambiguity
        • Analytics Pad
          • Full interactive multi-data source visualisation and data mashing
          • 3D data-modelling capability
          • AI-assisted data classification
        • Command Pad
          • Direct access to real-time MI and insight
          • Quick view of user goals, their status and relevant information
          • Task monitoring and status updates
          • Direct AI access via mobile, text and voice to ask neuro for specific questions, information, data, insight or undertake specific actions such as setting a new goal
          • Notifications (something has changed), anomaly detection (something is wrong) and predictive insight (something needs to change to meet a goal)
      • Reduced Risk
        • Manage RAID items more effectively by identifying their true status and impact and any associated action path
        • Faster and more accurate decisions
        • Improved productivity
        • Increased management and executive insight
        • Enhanced organisational transparency
      • Improved Outcomes and Productivity
        • Full real-time visualisation & analytics capability for any data source
        • Natural language interface (voice and text)
        • Decision recommendation engine
        • Decision Support
        • Decision Automation
      • Elimination of Waste
        • Real-time normalised data model
        • No human intervention
        • Removal of business, project and technology waste
        • Reduced management effort
      • Cost Reduction
        • Human Capital Release
        • Predictive Analysis
        • Real-time Analysis
        • Faster Information Collation
        • Faster Decision

Benefits Delivered

  • Real-time normalised data model
  • No human intervention
  • Increased management and executive insight
  • Enhanced organisational transparency Reduced risk
  • Removal of business, project and technology waste
  • Reduced management effort
  • Faster more accurate decisions
  • Improved productivity
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