S3 Inventory Intelligence Dashboard – User Guide

The dashboard provides a centralized view of S3 inventory data across selected buckets. It helps you explore what data exists, how it is categorized, which surveys it belongs to, and how much storage it consumes.

The summary cards at the top provide a quick snapshot of the current filtered dataset. These usually include total object count, total size, distinct file types, root folders, buckets, and the latest modified object date.

Use the filters to narrow results by bucket, extension, or free-text search. The free-text search checks object metadata such as object path and related fields. When filters are active, the Filtered Search Results panel appears below the main dashboard sections.

Export always respects your current context. The top export button exports the current filtered dataset. Some sections, such as rules, also provide their own section-specific CSV exports.

This section shows how the current dataset is distributed across categories. You can click the category controls to hide one or more categories, such as Unknown, so that smaller categories become easier to compare visually.

This section compares recognized versus unresolved files. It helps show how much of the inventory has already been classified and how much still needs further interpretation.

This section highlights files that look like metadata, support files, temporary content, or auxiliary items that may not be core deliverables.

The Rule Labels section shows rule definitions and rule-based matches. Clicking a rule opens drilldown views, bucket impact, and extension insights for that rule.

Filtered Search Results appear below the main dashboard content. The table shows the key identifying fields for each object, including bucket, file, survey, GAID, and size. Long object keys are shortened for readability, but the full value is available in the expanded row and can be copied directly.

GAID is derived from the survey identifier. For example, from a survey like 20250002S_CapePasleytoPollockReef_SI1054, the GAID is extracted as 20250002S. This helps group objects at a survey-program level.

Start broad, then narrow using filters. Hide dominant chart categories such as Unknown to make comparisons easier. Use exports when you need the full filtered dataset for offline analysis. Use the Rules section when you want to understand data through classification logic rather than only by extension or category.