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Understand your product

Turn live application data into answers people can act on.

Count, group, compare, and summarize the records already powering your product—without first copying them into a separate reporting service.

See what it changes Technical guide ↗

Reports and aggregations in a product

Begin with live recordsOrders, tasks, messages, or events

Ask a business questionGroup by status, owner, time, or category

Show the answerTotals, trends, and operational summaries

Operational data becomes a useful view

01Answer everyday business questionsCreate totals and grouped views from current product data.

02Keep reports close to realityWork from the same records people use in the application.

03Build useful dashboards soonerPower summaries without hand-writing a reporting endpoint for each question.

Why it matters

People need answers, not another export-and-spreadsheet ritual.

A support lead wants open requests by team. An operator wants failed jobs by day. A product manager wants published items by category. These are simple questions, but they often create a separate pipeline of exports and bespoke report code.

Daptin provides an aggregation surface over modeled records. It can project, group, filter, order, and combine data so a product or internal dashboard can present useful summaries.

Because the report starts from the same application records, the team does not have to maintain a second definition of what a request, owner, or status means.

Create a shared operational view

Give teams a common answer based on current backend data.

Move beyond row lists

Turn records into counts, breakdowns, and grouped summaries.

Keep detail one step away

A summary can lead back to the underlying permissioned records and actions.

How it fits

Part of one connected backend.

Reports and aggregations does more when it can reuse the records, people, access rules, and workflows already in your application.

Step 1Store

The application creates ordinary records through APIs or actions.

Step 2Choose

A report selects measures, groupings, and relevant filters.

Step 3Summarize

Daptin calculates the requested result at the data layer.

Step 4Act

The interface can link the answer back to records or a follow-up action.

What it enables

Use it in products people recognize.

Start from the experience you want to create; the backend capability supports the work behind it.

Support overview

Count unresolved requests by team, priority, or customer.

Content operations

Track drafts, reviews, and published items across collections.

Delivery health

Summarize pending, completed, and failed work over time.

Connected by design

Build the next part without starting over.

These capabilities share the same application context, so each one makes reports and aggregations more useful.

Know the boundary

What Daptin leaves in your hands.

The aggregation interface is useful for application and operational reporting. It is not a full analytical warehouse, visualization suite, or substitute for a dedicated BI system when scale and modelling needs demand one.

Understand the operating responsibility →

Build from one foundation

Make reports and aggregations part of the product—not another disconnected service.

Run Daptin locally, explore the live administration surface, and follow one complete application path.

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