# Workflows & Automation

Describes how processes are structured, tasks are managed, and actions are automated to ensure efficient and consistent collaboration across teams.

This helps teams work in a controlled and repeatable way when managing product data.

### Overview

Managing product data often involves multiple people and steps.

Struct PIM provides tools to:

* Structure processes
* Assign responsibilities
* Automate repetitive tasks
* Track progress and approvals

This helps teams collaborate effectively and maintain control over how data is created and updated.

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### Core capabilities

Workflows and automation in Struct PIM include several key areas:

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#### Workflows

Workflows define the steps involved in a process.

They can be used to structure activities such as:

* Product onboarding
* Data enrichment
* Review and approval processes

Workflows ensure that tasks follow a defined sequence and that nothing is missed.

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#### Tasks

Tasks represent individual units of work within a workflow.

They allow you to:

* Assign responsibilities to users
* Track what needs to be done
* Ensure accountability across teams

Tasks help break down complex processes into manageable steps.

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#### Business Rules

Business rules automate actions based on defined conditions.

They can be used to:

* Trigger updates automatically
* Enforce data rules
* Reduce manual work

Automation helps ensure consistency and efficiency in data handling.

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#### Progress & Approvals

Struct PIM provides visibility into process status.

You can:

* Track progress across workflows
* Monitor task completion
* Manage approvals before data is finalized or published

This ensures that data is reviewed and validated before it is used.

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### How it fits together

These capabilities work together to support structured processes:

* Workflows define the process
* Tasks assign and track work
* Business rules automate actions
* Progress and approvals ensure quality and control

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### Why it matters

Workflows and automation enable you to:

* Standardize how product data is managed
* Improve collaboration across teams
* Reduce manual and repetitive work
* Ensure consistent and controlled processes

This helps maintain high-quality data while improving efficiency.

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### Related concepts

* [Data Model](/fundamental-concepts/data-model.md)
* [Data Management](/fundamental-concepts/data-management.md)
* [Channels & Distribution](/fundamental-concepts/channels-and-distribution.md)
* [Glossary](/glossary/overview.md)

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