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Need help in this area? See Data Quality FAQ.
Nectar’s Data Quality module gives you visibility into problems and gaps in your utility data. Instead of discovering issues downstream — in a report or an export — you can catch and resolve them at the source. The module includes these tools:

Issues

Triage and resolve bill and meter issues (and anomalies) with guided resolution steps.

Completeness

Visualize coverage gaps and monitor whether every site has the data you expect.

Anomalies

Detect usage, cost, unit-price, and fee anomalies (and bills after a site is archived). They appear in Issues and Anomalies → Triage when detection is on (off by default).

Usage estimation

Optional site-level usage fills when bills are missing — coverage, analytics, and configuration.

Savings

Review estimated bill savings and billing-risk findings (when enabled for your company).
For how to work a missing month (connection health first, then duplicates, then timeline), see Filling data gaps.

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How it works

Data quality checks run automatically across Nectar’s collection and processing flows:
Data quality features are actively evolving. New issue types and completeness views are added regularly.
  • Issues — triage bill and meter issues (and anomalies)
  • Completeness — period coverage and gaps
  • Anomalies — unusual usage, cost, and fees in the Issues inbox
  • Savings — estimated savings opportunities (when enabled)
  • Usage estimation — optional module for site-level usage fills (when enabled)
  • Filling data gaps — diagnose missing months on Completeness
  • Data Quality FAQ — troubleshooting quality checks and gaps
  • Troubleshooting connections — resolve connection errors that block collection (and then show up as completeness gaps)
  • Sites — view per-site completeness from the site dashboard
  • Methodology — understand how Nectar processes and calendarizes bill data

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FAQ

Nectar surfaces problems in a few product areas:
  • Connection issues — problems that prevent bill collection, such as incorrect passwords, expired credentials, MFA challenges, or provider site outages. Fix these in Data Input.
  • Data quality issues — problems found during bill and meter processing, such as missing usage data, duplicate bills, unmatched accounts, illegible scans, or low-confidence dates and units. See Issues for the full list of issue types.
  • Anomalies — unusual usage, cost, unit price, or fees (same Issues inbox, when enabled). See Anomalies.
Connection issues are updated each time a connection is checked, which happens on a weekly schedule. Data quality issues are created or resolved whenever a bill or meter is processed or reprocessed. Anomalies update on the daily detection run, or when you run detection on demand.