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