Platform as a service [PaaS]
Data as a Service [Daas]
Analytics as a Service [Aaa]

Platform as a Service [PaaS]

Architecture: software, security, comms, sensor array documentation.
Sensors: network feed from incumbent, supply and install IoT.
Integrity: data, as built, interoperability.
  • Clarified information and operational architectures
  • Inventory relevant platforms and applications
  • Illustrate how existing architecture, platforms and applications are leveraged for digital twinning
  • Chart how to get started with least amount of technology and highest value impact
  • Build digital twin platforms using common off-the-shelf, affordable products
  • Maintain the integrity, accuracy and functionality of the platform


Data as a Service [DaaS]

Governance, Integrity, Harmonising and security.
  • Harmonised operating and information technology data sets
  • Operating data linked to 3D replica for real-time & historical monitoring
  • Visualised operational data at the desktop for real-time collaboration and decision making
  • Maintained integrity, accuracy and functionality of critical systems data


Analytics as a Service [AaaS]

Create KPI dashboards, work with R and Python to uncover emerging patterns, construct algorithms and track machine learning.
  • Dashboard of key performance indicators in numeric and graphical form
  • Emergent or changing trends highlighted & notified
  • Machine learning options drafted, approved, implemented
  • Artificial intelligence opportunities highlighted, approved, deployed
  • Maintain the integrity, accuracy and functionality of insights