ADQ 鈥� interactive concept 路 revised walkthrough

麻豆国产

ADQ interactive concept 路 Synthetic data 路 Simulated actions

Inspired by the ADQ v1.5 tour.
Illustrative screens and workflows.
For product discussion.

Workspace / Overview

Demo workspaceReviewer

Find an issue. Understand it. Fix it.Explore freely, or follow these steps

Create a quality rule

Describe a check and preview illustrative SQL. This is a scripted demonstration, not a live AI service.

Example requirement

Requirement

Illustrative SQL

Review and test generated logic before using it. SQL syntax depends on your data source.

A concept to start a conversation

This independent HTML mockup takes its navigation and visual direction from the supplied ADQ v1.5 Storylane tour. It is not a screen-accurate representation of v1.8.1.

All 12 customer records are synthetic.
Checks, SQL generation, correction and audit events are browser-local simulations.
Four checks produce five initial rule failures across four records. C010 fails both the country-code and date-of-birth rules.
Date checks use the fixed assessment date 21 October 2026. C010 has a future date of birth; C012 has the invalid date 29 February 2023.
Assessment results remain unchanged after a correction until you rerun the checks. Profiling and previews show the current source values.
Record side panels, guided steps and impact views are illustrative design choices for product review.
No backend, live AI, database connection or real data upload. The simulated SQL Server date cast may accept inputs differently from the strict YYYY-MM-DD check used in this browser demo; it is an illustration, not production rule logic.

Review prompts: Is the journey representative? Does the revised menu follow the process? Are the record and rule-failure counts clear? Where would a prospect see the most value?