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Illustrative Utility Records Case Study

Meter and Service-Point Register Migration

Legacy utility files contained conflicting meter serials, premise references and installation statuses. For the Meter and Service-Point Register Migration in Australia workload, reviewers spent additional time opening individual files because filenames and folder locations did not answer common retrieval questions.

Meter and Service-Point Register Migration — Energy & Utilities case study visual
Project
Meter and Service-Point Register Migration
Volume
58,700 meter, service-point and premise relationship records — completed in 9 weeks
Client Role
Metering Data Manager
Industry
Energy & Utilities
Country
Australia
Delivery Model
Service-area pilot, area batches and final account-meter coverage review
Client Details

The operating environment behind the request

A utility preparing legacy customer and metering data for a platform migration.

The primary client-side owner was the Metering Data Manager. That role coordinated source access, destination rules, reviewer availability and acceptance of each delivery. SDES would provide controlled production capacity; the client would retain authority over the business meaning of the records.

Project Details

What needed to change

Problem: Legacy utility files contained conflicting meter serials, premise references and installation statuses. For the Meter and Service-Point Register Migration in Australia workload, reviewers spent additional time opening individual files because filenames and folder locations did not answer common retrieval questions.

Required solution: Records were mapped using approved account, service-point and meter identifiers; operational status conflicts stayed outside the load file. For Meter and Service-Point Register Migration in Australia, each index row retained its source filename or document reference, and unclear classifications were separated for records-owner review.

Planned outcome: The utility received a structured migration register and a focused identity and status review queue. After completing Meter and Service-Point Register Migration in Australia, internal reviewers could focus on genuine exceptions instead of rechecking every completed record.

Volume and Source Profile

Workload measured by records, relationships and source variation

The completed scope covered 58,700 meter, service-point and premise relationship records — completed in 9 weeks. Effort also reflected field count, document readability, relationship complexity, exception frequency and destination validation.

Source material

  • Meter registers
  • service-point files
  • account extracts
  • installation sheets and status dictionaries

Core fields and relationships

  • Account reference
  • service point
  • premise
  • meter serial
  • installation date
  • unit and source status
Process

A controlled route from representative sample to accepted delivery

Scope

Confirm the destination and authority

The client defines required fields, accepted formats, controlling sources and decisions that must be escalated. The operating guide records those boundaries before entry begins.

Profile

Measure variation inside the volume

The review covered the stated volume of 58,700 meter, service-point and premise relationship records — completed in 9 weeks, including ordinary records, incomplete sources and difficult relationships.

Pilot

Test the rules on real exceptions

The pilot uses Meter registers, service-point files, account extracts, installation sheets and status dictionaries. Questions are returned with exact record and source references so approved answers can enter the production guide.

Produce

Release controlled batches

Service-area pilot, area batches and final account-meter coverage review. Completed, held, excluded and rejected items remain distinguishable throughout production.

Review

Check fields by operational consequence

Serial uniqueness, service-point relationship, unit consistency, date order and source-status preservation receive focused checks. Unsupported assumptions do not enter the clean output merely to complete a record.

Reconcile

Account for every received source

Batch totals, exception counts and source manifests are compared before final release. The handoff identifies what was delivered, held and returned for client direction.

Quality and Access Controls

Checks designed around the risk in this dataset

The review focus would cover Serial uniqueness, service-point relationship, unit consistency, date order and source-status preservation. Sampling depth and second-pass review would be agreed according to field significance and source quality rather than advertised as an unsupported universal accuracy percentage.

Operators could prepare records but could not change live meter status, dispatch work or customer accounts.

Responsibility Boundary

What remains with the client

Utility teams approved operational status, engineering interpretation, billing and field activity.

Metering Data Manager or another authorised owner would resolve exceptions that change meaning, identity, status, classification or commercial treatment. SDES would document the question and apply only the approved resolution.

Delivery Details

Separate clean production from items requiring judgement

The handoff would follow the destination structure and preserve enough source information for review and recovery. Delivery timing would follow Service-area pilot, area batches and final account-meter coverage review.

Migration table

meter-to-service relationship file

identity-conflict queue and batch reconciliation

Acceptance and change control

The client would validate the pilot before scale and review each scheduled release. Rejections caused by entry error would be corrected against the approved guide. New rules, changed destination fields or newly supplied sources would be recorded as controlled changes so earlier batches were not silently processed under later assumptions.

Client Feedback

Review perspective after the handoff

4.5/5

The work on Meter and Service-Point Register Migration gave our team a dependable handoff. Confirmed records were ready for operational use, while uncertain items came back with clear source references. Our reviewers could focus on the decisions that required internal ownership instead of rechecking the full dataset. Very good value for money—we would confidently outsource this work to SDES again.