Aperture is the catalog and digital asset health command center inside Nebulae. It gives automotive teams a clearer lens into image coverage, folder gaps, metadata quality, colorspace readiness, 360° asset depth, Azure sync gaps, and historical catalog health trends.
Aperture is designed to move catalog health from guesswork into visibility. Instead of waiting for missing assets or technical issues to surface later, teams can identify the exact brands, parts, files, and diagnostics that need attention.
Identify active parts missing live digital assets, separate active and inactive issues, and generate exportable lists for cleanup.
Surface structural folder issues where parts are expected in the digital asset system but the supporting folder structure is missing.
View catalog deficit percentage, image coverage percentage, and brand-level health progress so teams can prioritize work.
Detect assets that may not be web-ready, including CMYK warnings, grayscale assets, and brand-level quality composition.
Audit blank PIES asset types, asset status, metadata health, and whether parts have 360-degree asset coverage.
Compare expected VSDAM files against Azure Blob output to identify missing JPGs, missing 360° spins, missing diagrams, and naming warnings.
Aperture gives users a dashboard-style view of health metrics and then lets them drill into the details behind the numbers.
Each audit area gives catalog and asset teams a different lens into quality, readiness, and operational risk.
Shows parts currently missing live digital assets and explains why they are missing with clear diagnostic notes.
Monitors active assets for sRGB, CMYK, and grayscale conditions so teams can identify technical quality issues.
Checks asset metadata health, including blank PIES asset types and 360-degree asset coverage indicators.
Provides a detailed technical breakdown of asset types, image counts, image buckets, P04 counts, DRW counts, 360 counts, and colorspaces.
Measures visual depth by separating parts with 360° assets from parts without 360° assets and grouping still-image depth.
Compares expected VSDAM files against cloud output and surfaces missing JPGs, missing 360° spins, diagrams, and naming warnings.
Lets users drill into an individual part and review asset file details such as PIES type, filename, orientation, background, resolution, colorspace, and publish status.
Tracks folder gaps, image coverage, Azure sync gaps, brand health, and 360° depth snapshots over time.
Aperture does not only show what is wrong today. It also supports historical visibility so teams can understand whether catalog health is improving, drifting, or getting worse.
Monitor catalog image coverage percentages across snapshots and show whether cleanup work is improving the catalog.
Track active and inactive folder gaps by brand to identify structural issues that persist over time.
Review cloud sync gaps, missing file types, and naming warnings across historical snapshots.
Aperture turns catalog health into a measurable system. Teams can see where problems exist, export the cleanup work, drill into the details, and prove improvement over time.
Aperture gives Nebulae a strong operational story: better visibility, faster cleanup, fewer surprises, and more confidence before data or assets reach customers.
Instead of manually searching for missing assets, weak coverage, technical quality issues, or sync gaps, Aperture turns those problems into focused action lists.
Aperture strengthens Nebulae by adding a quality intelligence layer around product content, digital assets, cloud delivery, and historical performance.
Together, Quasar and Aperture create a stronger product story. Quasar manages the catalog. Aperture checks the health of the catalog.
Quasar supports catalog and PIM workflows including base parts, applications, attributes, ACES exports, PIES exports, and future import/load sheet workflows.
Aperture monitors whether the catalog and supporting digital assets are complete, technically sound, properly synced, and improving over time.
Aperture helps automotive teams detect missing content, technical asset issues, cloud sync problems, and historical health trends before they become customer-facing problems.