Data Products

What is Data Products?

Data Products in the Acceldata Data Observability Cloud (ADOC) platform allows users to group related data assets — such as tables and views — into a single, named, business-meaningful unit. Instead of monitoring assets in isolation, you manage and observe them as a coherent product with a unified health view, ownership, and a presence in a searchable Marketplace.

Why Data Products?

Data assets are typically managed at the technical level — individual tables, pipelines, or schemas. But business teams reason in terms of products: Customer 360, Revenue Metrics, Inventory Feed. This gap makes it difficult to answer questions such as:

Is this dataset production-ready for my team to use?
Which assets make up our monthly reporting product, and are they all healthy?
Who owns this data and how do I request access?

Data Products bridges this gap. By treating data as a product, your organization can:

Surface a single health score for an entire product rather than checking each asset individually
Make data discoverable to consumers through a shared Marketplace, without requiring knowledge of underlying technical names
Assign clear ownership and Quality SLA monitoring at the product level
Track reliability, quality, and freshness trends over time for the product as a whole

Key Concepts

Term	Description
Data Product	A named collection of one or more data assets (tables or views) that represents a business entity. It includes an owner, description, health scores, Quality SLAs, and a presence in the Data Products Marketplace.
Data Product Owner (DPO)	The user responsible for creating, managing, and publishing a Data Product. The DPO is accountable for the product's health and Quality SLA posture.
Health Score	A composite score (0–100) aggregated from the Reliability, Data Quality, Freshness, Schema Drift, and Data Drift scores of the assets within the product. Calculated as a simple average across member assets.
Quality SLAs	Policy coverage commitments you configure on a Data Product, covering Data Quality, Reconciliation, Data Freshness, Profile Anomaly, and Data Drift. ADOC monitors compliance against these SLAs across all member assets.
Data Products Marketplace	The discovery interface within ADOC where all published Data Products are listed. Any authenticated user with the Data Products feature permission can browse, search, and request access.
Lifecycle State	The current status of a Data Product: Draft (not yet published) or Published (visible in Marketplace).

How Data Products Work

When you create a Data Product, you define its name, description, and business justification, then select the assets (tables or views) to include. ADOC aggregates the health scores from those assets into a single product-level score for each metric — Reliability, Data Quality, Freshness, Schema Drift, and Data Drift — using a simple average.

Scores are calculated and persisted on a schedule, not in real time, so that trend charts remain available for historical analysis. Once published, the Data Product appears in the Data Products Marketplace, where consumers across your organization can discover it, review its health, and request access.

Note In this version, Data Products support Table and View assets only. Pipeline assets are not supported.

Who Can Use Data Products?

Role	What They Do
Data Product Owner (DPO)	Creates, manages, and publishes Data Products. Configures asset membership, Quality SLAs, tags, and availability.
Data Engineer / Platform Engineer	Monitors Data Product health scores and trends. Identifies assets with missing policy coverage.
Data Steward / Governance Lead	Reviews published products for Quality SLA compliance. Manages access requests.
Business Analyst / Data Scientist	Discovers and evaluates Data Products via the Marketplace. Requests access to products that meet their use case.
Any Authenticated User	Browses the Data Products Marketplace and views the details of published products they have access to.

Creating a Data Product

This page describes how to create a new Data Product using the four-step creation wizard: Basic Info, Select Assets, Set Quality SLA, and Summary.

Prerequisite You must have a Domain Role with Data Products — Create permission. The assets you want to include must already be discovered and available in ADOC, with at least one policy configured on each asset for meaningful health scores.

Step 1: Basic Info

To open the Create Data Product wizard:

From the left navigation menu, click Data Products -> select Manage.
On the Manage Data Products page, select Create Data Product in the top-right corner.
The Create Data Product dialog opens on Step 1: Basic Info.

Complete the following fields:

Field	Description	Required
Data Product Name	A unique name for the Data Product. This name appears in the Manage Data Products list and in the Marketplace.	Yes
Description	A plain-language description of what this Data Product contains and its purpose.	No
Business Justification	The business goals or use cases this product supports.	No

Select Next to proceed to Step 2, or Save & Exit to save the product as a Draft and close the wizard.

Step 2: Select Assets

In Step 2, you select the data assets to include in the Data Product. Assets from any connected data source are available for selection.

Use the filters to narrow the asset list:

Filter	Description
Data Source	Filter by a specific connected data source.
Source Type	Filter by the type of data source (for example, Snowflake, SAP HANA, Google Cloud Storage).
Asset Type	Filter by asset type (Table, View, File, and so on).
Profiled	Filter to show only profiled assets, unprofiled assets, or all assets.

Use Search by asset name to locate specific assets by name.
Select the checkbox next to each asset you want to add. The total selected count is shown above the table as Total X assets are selected for the data product.
To remove a selected asset, clear its checkbox. You can also remove an asset from the Summary step.
Select Next to proceed to Step 3, or Save & Exit to save progress as a Draft.

Note The asset table displays Reliability Score, Open Alerts, Tags, Profiled status, and Data Quality for each asset, allowing you to evaluate asset health before adding it to the product.

Step 3: Set Quality SLA

In Step 3, you select the Quality SLAs to monitor for the Data Product. Quality SLAs define which policy types ADOC enforces and tracks across all member assets.

Quality SLA	What It Enforces
Data Quality	Enforces data quality rules across all assets in the Data Product.
Reconciliation	Enforces reconciliation rules across all assets in the Data Product.
Data Freshness	Enforces freshness monitoring for all assets in the Data Product.
Profile Anomaly	Enforces profile anomaly policies across all assets in the Data Product.
Data Drift	Enforces data drift monitoring across all assets in the Data Product.

Select the checkbox for each Quality SLA you want to enable. If a Quality SLA is not selected, ADOC does not monitor the corresponding check for this Data Product.
Select Next to proceed to the Summary, or Save & Exit to save progress as a Draft.

Step 4: Review and Create

Step 4 shows a summary of the Data Product configuration before creation. Review each section before selecting Create.

Section	What It Shows
Description and Business Justification	The values entered in Step 1. Navigate back to edit.
Selected Assets	The full list of member assets with their data source path. Select Edit to return to Step 2 and modify the selection, or select the X next to any asset to remove it directly from the Summary.
Quality SLAs	The Quality SLA options selected in Step 3, shown as checked or unchecked. Select Edit to return to Step 3 and modify.

Review all sections. Select Previous to go back to any step, or select Edit within a section to modify a specific part of the configuration.
Select Create to create the Data Product. The product is created in Draft state and appears in the Manage Data Products list.

Note Selecting Save & Exit at any step saves the Data Product as a Draft without completing the wizard. You can return to a Draft product from the Manage Data Products page to continue configuration at any time.

Viewing and Managing a Data Product

The Data Product detail page provides a unified view of a product's health, assets, Quality SLA posture, policies, lineage, and version history. To open a Data Product, select its name from the Manage Data Products list.

Data Product Detail Page

The detail page is organized into six tabs, each providing a different view of the product.

Overview

The Overview tab is the default view when you open a Data Product. It displays:

Health score cards: A row of score panels showing the current aggregated scores for Reliability Score, Data Quality, Reconciliation, Data Freshness, Data Anomaly, and Data Drift. A score of "-" indicates the corresponding Quality SLA is not configured or no executions have occurred.
Description and Business Justification: The values entered during creation. A "-" is shown if the field was left blank.
Technical Information: Read-only metadata including Product ID, Created on date, and Updated on date.

Assets

The Assets tab lists all data assets associated with the Data Product. For each asset, the following information is shown:

Column	Description
Name	The asset name. Select the name to navigate to the asset's detail page.
Reliability Score	The current reliability score for the asset.
Profiled	Indicates whether the asset has been profiled.
Tags	Tags applied to the asset. The count shown is a link to the asset's tag list.
Total Rows	The total row count for the asset, if available.

To add more assets to the Data Product, select Add Assets in the top-right corner of the Assets tab, or use the Add Assets option from the Actions menu.

Quality SLA

The Quality SLA tab shows the policy coverage status for each member asset against the Quality SLAs configured for the Data Product. For each asset, the tab displays the number of policies configured per Quality SLA type, along with a Configured or Not Configured status indicator.

Status	Description
Configured	At least one policy of the corresponding type is applied to the asset. The number of configured policies is shown (for example, 5 Policies, 1 Policy).
Not Configured	No policy of the corresponding type is applied to the asset. Shown as 0 Policies.

To update which Quality SLAs are monitored, select Set Quality SLA from the Actions menu.

Policies

The Policies tab lists all policies across the member assets of the Data Product in a single view. You can use this tab to monitor policy execution health across the product without navigating to individual assets.

The Policies tab includes the following controls:

Filters: Filter policies by Overall Status, Rule Set, Policy Status, Data Source, Tag, and Policy Group.
Policy type quick filters: Quickly isolate policies by type using the Data Quality, Reconciliation, Freshness, Anomaly, Data Drift, Schema Drift, and Auto Anomaly filter buttons.
Search: Search for a specific policy by name.

The policy list includes the following columns: Name, Policy Type, Tags, Quality Score, Open Alerts, Overall Status, Rule Count, Records Processed, Last Executed, Avg Quality Score, Total Executions, Incremental Strategy, and Schedule.

Select any policy name to navigate directly to that policy's detail page.

Lineage

The Lineage tab displays the upstream and downstream asset relationships for the Data Product. If no lineage connections have been established for the member assets, the tab displays: No lineage found for data product.

Documentation

The Documentation tab provides a rich-text editing area where the Data Product Owner can author freeform documentation about the product. Documentation is visible to all users who have access to the published Data Product.

The editor supports:

Paragraph text and headings
Bullet lists and numbered lists
Images and embedded media
Quotes and code blocks

Documentation is authored and saved directly from the Documentation tab. There is no separate publish step for documentation changes — edits are saved and immediately visible to consumers.

Reviews

The Reviews tab allows consumers to rate and review a published Data Product. The star rating shown in the Marketplace card and on the product header is the aggregate of all submitted reviews.

From the Reviews tab, you can:

Submit or update your rating: Select a star rating (1–5) using the Share your Rating control at the top of the tab.
Submit or update your review: Enter a written review in the Update your review field and select Update to save.
View recent reviews: The Recent reviews section lists all submitted reviews with the reviewer's name, date, and review text.
Reply to reviews: Select Reply on any review to add a response. Existing replies can be expanded by selecting Show X replies.

Versions

The Versions tab shows the change history of the Data Product. Each entry in the version list records a specific change, including who made it and when.

Column	Description
Version	The sequential version number. Version 1 is the initial creation.
Updated By	The email address of the user who made the change.
Changes	A description of what changed in this version (for example, Asset Ids, Status).
Updated At	The date and time the change was made.

The Actions menu in the top-right corner of the detail page provides the following actions for managing a Data Product:

Action	Description
Publish Data Product	Publishes the Data Product, making it visible in the Data Products Marketplace. Available when the product is in Draft state.
Edit Data Product	Opens the Data Product creation wizard with the existing configuration pre-filled, allowing you to update the name, description, business justification, assets, and Quality SLAs.
Add Assets	Opens the asset picker to add more assets to the Data Product without going through the full edit flow.
Set Quality SLA	Opens the Quality SLA configuration step to update which Quality SLAs are monitored for this Data Product.

The Share feature allows a Data Product Owner to grant specific user groups access to a Data Product with a defined role. To share a Data Product:

On the Data Product detail page, select Share in the top-right corner.
In the Share Data Product dialog, select a User Group from the User Group dropdown.
Select a Role from the Role dropdown. The following roles are available:

Role	Description
resource_owner	Full ownership access to the Data Product.
resource_editor	Can edit the Data Product configuration and documentation.
resource_viewer	Read-only access to the Data Product and its details.
domain_manager	Domain-level management access.

To share with additional user groups, select Add and repeat the User Group and Role selection.
To remove a user group from the list, select the delete icon next to the corresponding row.
Select Share to apply the access configuration.

Editing a Data Product

On the Data Product detail page, select Actions > Edit Data Product.
The creation wizard opens with the existing configuration pre-filled. Navigate through the steps to update the name, description, business justification, asset selection, or Quality SLAs.
Select Save & Exit to save changes as a Draft, or complete all steps and select Create to apply the changes.

Note Editing a Data Product updates its version number. The change is recorded in the Versions tab with a description of what was modified.

Retiring a Data Product

A Data Product can be retired from the market place by setting its status to draft in the Manage Data Products page. This actions can only be done if the user has the right permissions.

Publishing a Data Product

Publishing a Data Product makes it visible to consumers in the Data Products Marketplace. Once published, any authenticated user with the Data Products feature permission can discover and view the product.

Prerequisite You must have a Domain Role with Data Products — Publish permission. The Data Product must be in Draft state.

Publishing from Draft

Open the Data Product you want to publish.
Select Actions -> Publish Data Product.
Confirm the action in the dialog that appears. The Data Product status changes from Draft to Published and becomes visible in the Data Products Marketplace.

Data Products Marketplace

Marketplace is where your organization's published Data Products are listed as browsable cards. Any authenticated user with the Data Products feature permission can search, filter, and open product details from this page.

To navigate to the Marketplace, select Data Products -> Market Place in the left navigation.

Browsing the Marketplace

Published Data Products are displayed in a two-column card grid. Each card shows:

Product name and the Data Product icon.
Star rating (1–5 stars), reflecting the aggregate of all consumer reviews submitted on the product.
Reliability Score badge, showing the current aggregated reliability score as a percentage.
NEW badge, displayed on recently published products.
Description (truncated to a preview length).
Owner name and avatar.
Last published date and time.

Select any product card to open its full detail page.

Searching and Filtering

You can locate Data Products using the following controls:

Control	Description
Search by product name	Full-text search field. Type to filter the card grid by product name in real time.
Owners	Filter cards to show only products owned by a specific user. Defaults to All.
Reliability Score	Range filter. Set a minimum and maximum reliability score (0–100) using the slider or the Min/Max input fields, then select Apply. Select Clear to reset the filter.

Viewing a Data Product

Selecting a product card opens the Data Product detail page for that product. The detail page shows all tabs available for a published product: Overview, Assets, Quality SLA, Policies, Lineage, Documentation, Reviews, and Versions.

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