• Tool evaluation and selection management process including POC management.
  • Sizing and landscape design, semantic access layer design, security design and mobile access integration.
  • Installation, model development, model to application integration, training and deployment.
  • The analysis and testing of data to extract cluster, association and anomaly patterns.
  • Production analytic model and application maintenance support services.
  • Definition of organizational charter, team structure, roles and skills, asset types, service types, governance rules and cross-enterprise service agreements.
  • Assessment of the current data and Analytics environment - both business and IT- to provide recommendations.
  • In depth current state assessment, requirements evaluation, future state architecture and implementation roadmap.
  • Business and use case definition and validation
  • Solution architecture and design
  • Integration with transaction systems
  • Evaluation and selection
  • Sizing, installation and configuration
  • Operating model definition and deployment
  • Technical reference architecture End-to-end solution development from build through support