Use Cases

Start with the project type. Prove it with a concrete use case.

Zipdata projects do not all begin with agents. You may need one data story first, then automation, then agentic execution. The workspace houses each path and lets it mature over time.

See solution categories

Use Case Library

When the first job is to create one trustworthy view.

These use cases move your operation from scattered spreadsheets, exports, and systems into one governed workspace with analytics and audience-specific outputs.

Portfolio intelligence across scattered systems

Leadership needs one view of accounts, invoices, payments, exposure, and owner notes, but the truth is rebuilt from exports before every review.

SourcesAnalyticsKPIsFeedsGroups
Feed / outputDaily portfolio briefing, ageing dashboard, exposure report, and leadership scorecard.
Automation / agentScheduled data refresh and metric snapshots; agent optional after the reporting model is trusted.

You start from one governed data story instead of reconciling the business by hand every week.

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Inventory and production visibility

Orders, stock, production plans, warehouse movement, and dispatch status exist, but not in one traceable view.

Workspace schemaSourcesAnalyticsFeeds
Feed / outputInventory health briefing, production visibility dashboard, stockout-risk report.
Automation / agentConnector pulls and scheduled feeds first; Inventory Intelligence Agent can be added later.

Operations and finance see stock health, ageing, and fulfilment risk before the monthly review exposes it.

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Management reporting and trend monitoring

Weekly and monthly reporting depends on someone assembling extracts, explaining movements, and sending static packs that are already behind the business.

SourcesMetricsAnalyticsFeed StudioGroups
Feed / outputScheduled management pack, trend dashboard, KPI movement briefing, and exception summary.
Automation / agentScheduled refresh and feed delivery first; analyst watches can add threshold-based alerts later.

The reporting cadence becomes a live workspace output rather than a recurring manual production cycle.

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Map the first use case

Pick the project path before choosing the tools.

We will identify whether the first workspace should solve a data, automation, or agentic transformation problem, then scope the build around that use case.