Exhibit Adopting a digital platform architecture model could enable a utility to forge ahead of competitors.
Components of a digital platform architecture model
Channels Customer web
Employee web
Employee mobile
Employee laptop
Customer mobile
SMS/text
Chat/email
IVR
Applications
Reporting and analytics Corporate analytics Data science
Employee experience
Generation and supply
Static reports
Self-service reports
Automated dashboards
Vet mgt
Customer T&D
Integration
Data management
API management/gateway
Data marts
Managed content
Data warehouse
Data lake
Enterprise microservices
Event driven
ESB
Data replication
ETL
Core
Customer billing HR/LMS/time
CIS GIS
ERP
Outage management Vegetation management
AMI/Meter management
Work management
Infra and network
Data center
Cloud
WAN/LAN/networking
OT asset base Sensors
...
Valves
Control room
AMI
Fuel
Storage
Key characteristics
Unified user experiences: fragmentation of experience across apps and tools is one of the most common pain points for utility field workers today. Reusable UX components and cross-platform development help deliver consistent and seamless experiences in the field. Analytics ready: empowering citizen development through analytics sandboxes and self-serve reporting. Enterprise APIs and microservices: a well-defined catalog of domain-driven APIs enables utilities to build fit-for-purpose omnichannel solutions on top of, but decoupled from, core enterprise systems. Robust core system integration: most utilities struggle to access and leverage the data in their core enterprise systems (eg, assets, work orders, customer, etc.). A modern platform will provide near real-time integration to read from and write back to core systems for analytics and app use cases. Cloud native: moving workloads to the cloud and leveraging elastic scale for storage and compute is helping utilities drive down capital and O&M costs across BUs. Leveraging the Internet of Things data explosion: the abundance of data from AMI and smart sensors has largely gone untapped by utilities. A modern platform will curate and synthesize this data for predictive modeling use cases.
McKinsey & Company
Accelerating the journey to net zero
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