Industry digitalisation analysis

Water and Utilities Companies: Digitalization Opportunities

Comprehending accounts and smoother troubleshooting

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

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Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

76/100
Biggest challenge
Related measurements and reports are not linked to a single network incident
Biggest opportunity
Faults and billing issues are addressed with full data

Operating model

Water, sewage and heat services are based on different networks and measurements. Customer service, maintenance and accounting need to be adapted for the specific service provided.

Drinking water supply

The company oversees the supply network, checks water quality and accounts for consumption. In search of losses, it is necessary to separate the actual leakage from the measurement or accounting error.

Sewage collection and treatment

The operator monitors the incoming flows, the load on the treatment plant and the quality of the water discharged. Works are planned according to the state of the network and the treatment plant.

Heat supply

The service provider evaluates the heat energy, temperature, flow and seasonal demand transmitted. This data is required to verify supply, loss and settlement.

Maintenance of areas and other utilities

The company can supervise territories or perform other works without running a water or heat network. Tasks, staff and performance quality data are relevant for such activities.

Market context

The utility operator connects network operation, measurement accounting and customer service. Continuity of service and clear information about the disorder and the amount due are the most important for the resident or business customer. Technical teams and service must rely on the same confirmed data.

  • Reports of disordersThe customer needs to know which service has malfunctioned, whether its address is affected and what the approved recovery information is.
  • Accuracy of readings and accountsChanges to the counters, data corrections, and applicable period must be understood by the service team.

Workflow and responsibilities

01

Reliable Service Object

A true network element, its state, and the customer relationship of a particular service are met.

02

Signal or need assessment

The result of the measurement, the quality message or the need for maintenance is linked to a specific location on the network and communicated to the responsible team.

03

Responsible action

Technical work, a quality measure or measurement exception is passed on to the course of its adoption.

04

Validation of the work and data carried out

Approved works and measurement data are transmitted to the property register, incident management or settlement system according to their purpose.

05

Client and investment solution

A reasonable explanation of the service is provided, and a verified history is used for upgrade alternatives.

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

The differences in the readings must be able to be compared with technical information. A fault or quality message is passed to the correct team and the customer receives verified information about the decision.

Related digitalisation topics

Water and Heat Network Loss ManagementManagement of utility incidentsSmart meters and billing data

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