Audit. Correct. Trust.
Your Peloton data.
SpotLight adds a data quality and auditing layer around Peloton workflows, empowering internal teams to define standards, run scheduled audits, and surface results through reporting dashboards, without replacing existing systems.
supported
audit runs
logging
SpotLight flags data quality issues in Peloton environments at the point of entry, before they reach reporting, integration, or regulatory workflows.
SpotLight maintains a centralized audit record, tracking which issues were found, who resolved them, and how long it took, automatically and consistently.
Operations leaders can see which rigs, divisions, and data sources need attention, enabling targeted improvement and measurable quality accountability.
From data standard to dashboard insight
A five-step process connecting governance goals to measurable data quality outcomes.
Identify data owners and define what correct, complete data looks like per operational domain.
Design audit logic visually: required fields, library checks, range limits, and cross-table comparisons.
Compile rules into deployment profiles and push them into your configured Peloton environment.
The SpotLight runner service executes on schedule, logging new errors and recording corrections.
Surface quality scores, error trends, and accountability breakdowns in reporting workflows.
Everything your team needs to own data quality
Three connected capabilities: rule design, automated enforcement, and company-wide visibility.
A visual rule designer lets business users and Peloton engineers build sophisticated audit logic, following the natural data hierarchy from well header through jobs, dailies, and costs.
- ✓Required field, library value, and numeric range validations
- ✓Cross-table comparison checks
- ✓Reusable rule fragments: change once, update everywhere
- ✓Pre-built rule templates via the SpotLight Store
Rules compile into deployment profiles and push into Peloton environments. The SpotLight runner service executes on a schedule, automatically logging new errors and recording corrections with timestamps.
- ✓Version-controlled deployments with in-sync status indicators
- ✓Bulk audits across wells, or real-time data-entry audits
- ✓Scheduled automatic runs: no manual triggering required
- ✓Sandbox and production environment separation
Every error is centrally logged: when it appeared and when it was resolved. Errors can be classified by source so accountability reaches the right team, not as a blanket problem for all.
- ✓Central log with error introduction and resolution timestamps
- ✓Error classification by source type: integration, vendor, or manual
- ✓Time-to-correction tracked as a measurable KPI
- ✓Accountability to rigs, pods, and crews, not individuals
in Power BI
SpotLight audit results surface as interactive dashboards, giving operations managers, data teams, and leadership a clear view of data health across divisions and rig crews.
- ✓Error counts by operational category: drilling, completions, well servicing, and regulatory
- ✓Resolved vs outstanding breakdown by region or division
- ✓Time-to-correction tracked as an organisational KPI
- ✓Pass/fail scorecards filterable by date, source type, and area
SpotLight error logs become a rich analytical asset when combined with well, job, and operational data through modern data platform workflows. PetroBeacon builds the pipeline that brings it all together.
- ✓Merge audit data with Peloton well and job records via entity identifiers
- ✓Classify errors by source: integration, vendor-loaded, or manually entered
- ✓Augment results with basin, region, and division attributes
- ✓Support on-premise and cloud database environments
- ✓Deliver an analytics-ready dataset for reporting dashboards
Explore the audit workflow
Step through how SpotLight builds, deploys, and runs an audit from rule design to corrected result.
Define data standards before audits are written.
Map the fields, owners, and quality expectations that matter for configured Peloton workflows. This keeps SpotLight grounded in business rules instead of generic validation.
- Set expectations for required values, ranges, and ownership.
- Connect standards to WellView, SiteView, and RigView workflows.
- Document quality rules before they become deployed checks.
Try arranging a simple audit rule.
Drag nodes around, add checks, click two nodes to connect them, then run the mock audit. This is a frontend demo only.
Built for everyone who depends on the data
From rig-site data entry to executive scorecards, SpotLight serves the full organisational stack.
Run end-of-job audits, get real-time feedback on data entry issues, and correct errors before rig move.
Build audit rules, validate integration quality, and ensure data is ready for reporting and regulatory workflows.
Manage environments, deploy audit profiles, and keep rule sets in sync with application updates.
Access enriched audit data through reporting and dashboard workflows. Build scorecards and accountability views.
Define and enforce data governance policies across all operational domains. Track compliance over time.
See which rigs, divisions, or data sources are underperforming. Use quality KPIs to drive accountability.
Ready to trust your operational data?
Talk to PetroBeacon about deploying SpotLight in your Peloton environment.