diff --git a/_config.yml b/_config.yml
index 37a0d0fa6b1..26493d6e3d2 100644
--- a/_config.yml
+++ b/_config.yml
@@ -148,6 +148,7 @@ versioned_categories:
pbc:
all:
- back-office
+ - business-intelligence
- cart-and-checkout
- carrier-management
- content-management-system
diff --git a/_data/sidebars/pbc_all_sidebar.yml b/_data/sidebars/pbc_all_sidebar.yml
index 68f177ca90e..7ef87c477f1 100644
--- a/_data/sidebars/pbc_all_sidebar.yml
+++ b/_data/sidebars/pbc_all_sidebar.yml
@@ -35,6 +35,23 @@ entries:
url: /docs/pbc/all/back-office/unified-commerce/install-and-upgrade/install-the-spryker-core-back-office-warehouse-user-management-feature.html
+ - title: Business Intelligence
+ url: /docs/pbc/all/business-intelligence/business-intelligence.html
+ include_versions:
+ - "202410.0"
+ nested:
+ - title: Amazon QuickSight third-party integration
+ url: /docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.html
+ nested:
+ - title: Set up Amazon QuickSight
+ url: /docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/set-up-amazon-quicksight.html
+ - title: "Best practices: working with analytics"
+ url: /docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/best-practices-working-with-analytics.html
+ - title: Refresh analytics datasets
+ url: /docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/back-office-refresh-analytics-datasets.html
+ - title: Manage analytics users and roles
+ url: /docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/manage-analytics-users-and-roles.html
+
- title: Carrier Management
url: /docs/pbc/all/carrier-management/carrier-management.html
nested:
diff --git a/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/amazon-quicksight.md b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/amazon-quicksight.md
new file mode 100644
index 00000000000..31bac2790e9
--- /dev/null
+++ b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/amazon-quicksight.md
@@ -0,0 +1,256 @@
+---
+title: Amazon QuickSight
+description: Amazon QuickSight overview
+template: concept-topic-template
+last_updated: Oct 24, 2024
+---
+
+Amazon QuickSight brings customizable and powerful business intelligence tools to the Back Office. This feature lets you visualize data, create customizable dashboards, and perform deep analytics on sales, product performance, customer behaviors, and marketplace KPIs. By leveraging analytics, you can unlock new monetization opportunities and make more informed business decisions.
+
+Highlights:
+
+* Default dashboards let you start using the feature right away
+* Direct access within the Back Office
+* Data from your Spryker projects is connected by default
+* Highly customizable, offering multiple options to tailor reports & analytics workflows
+* Aggregate data across various systems
+
+## Data sources and datasets
+
+This feature supports data from Spryker projects and third-party systems. When you set up Amazon QuickSight, the data from your project is available by default, and you can add other data sources if needed.
+
+![QuickSight-datasets](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.md/qs-data-sets.png)
+
+For more details on data sources, see [Supported data sources](https://docs.aws.amazon.com/quicksight/latest/user/supported-data-sources.html).
+
+### Extending project data for analytics
+
+By looking at datasets, you can see what data from your project is available for analytics. By default, for each dataset, only secure data that can be useful for analytics and is available from a respective database table. For example, the Customer dataset doesn't include customer names or passwords.
+
+You can extend the data available to datasets on the project level. For more details, see [Install Amazon QuickSight]().
+
+
+### SPICE data
+
+SPICE (Super-fast, Parallel, In-memory Calculation Engine) is a robust in-memory engine used by Amazon QuickSight to calculate and serve data. All data in datasets is store as SPICE data, which has the following advantages:
+
+* Your analytical queries process faster.
+* You don't need to wait for a direct query to process.
+* Data stored in SPICE can be reused multiple times without incurring additional costs. If you use a data source that charges per query, you're charged for querying the data when you first create the dataset and later when you refresh the dataset.
+
+You can check your SPICE storage capacity in the Back Office > **Analytics** > **Datasets** > **New dataset**.
+
+![sprice-storage](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.md/sprice-storage.png)
+
+For more details on SPICE data, see [Importing data into SPICE](https://docs.aws.amazon.com/quicksight/latest/user/spice.html).
+
+### Refreshing data
+
+To make datasets up to date, you need to refresh them by resyncing data from your project or third-party systems.
+
+You can refresh data manually or automatically by setting up a schedule per data set. We recommend configuring an automatic refresh shortly after you set up Amazon QuickSight.
+
+
+![refresh-dataset](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.md/refresh-dataset.png)
+
+For instructions, see [Refresh analytics datasets](/docs/pbc/all/business-intelligence/{{page.version}}/amazon-quicksight-third-party-integration/back-office-refresh-analytics-datasets.html).
+
+
+## Analyses and dashboards
+
+In Amazon QuickSight, you are going to work with analyses and dashboards.
+
+An analysis is a customizable visual representation of data. Using the provided tools, you can manipulate your data to extract and present the most important information.
+
+Each analysis can contain multiple data visualizations, which can be rearranged and customized.
+
+
+![QuickSight-analyses](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.md/qs-analysis.png)
+
+
+A dashboard is a representation of data prepared in an analysis. It serves as a published version of data analysis, which can be shared with other users.
+
+![QuickSight-dashboard](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.md/qs-dashboard.png)
+
+
+Both analyses and dashboards are shareable, you can share a complete dashboard or collaborate on an analysis.
+
+![QuickSight-sharing](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/amazon-quicksight.md/qs-sharing.png)
+
+You can share dashboards with authors and readers, and analyses – only with authors.
+
+
+
+## User management and permissions
+
+User roles define what assets a user has access to, including the following:
+* Analyses
+* Dashboards
+* Datasets
+* Datasources
+
+When working with analytics, users can have the following roles:
+* Author: can view, create, and edit assets.
+* Reader: can view dashboards.
+
+The analytics roles are derived from Amazon QuickSight and are separate from the [Back Office user roles](/docs/pbc/all/user-management/{{page.version}}/base-shop/manage-in-the-back-office/best-practices-manage-users-and-their-permissions-with-roles-and-groups.html).
+
+The number of users with different roles depends on your contract.
+
+
+
+
+### Default dashboard
+
+While you're learning how to create your own dashboards, you can start using the default dashboard right away.
+
+The default dashboard contains the following sheets.
+
+#### Sales sheet
+
+* Track sales performance over time
+* Gain insights into orders and return rate
+* Monitor discounts, product categories, brands
+* Monitor the usage of payment and shipping methods
+
+
+ Visuals in the sales sheet
+
+| Visual | Visual Type |
+| ----------------------------------- | -------------- |
+| Total Sales | KPI |
+| Total Orders | Table |
+| Total Canceled | KPI |
+| Cancelation Rate | Donut chart |
+| Return Rate | Donut chart |
+| "Waiting for Return" Order Items | KPI |
+| Average Fulllment Time in Hours | KPI |
+| Order Items by Status | Donut chart |
+| Number of Orders | Line chart |
+| Order Value and Discounts | Bar chart |
+| Average Order Value | Bar chart |
+| Average Order Size | Bar chart |
+| Applied Discount Value | Table |
+| Payment Methods | Pie chart |
+| Shipping Methods | Pie chart |
+| Sales by Top Brands | Tree map chart |
+| Sales by Product Category | Donut chart |
+| Sales over time by Product Category | Line chart |
+| Order Item Status by Customer | Table |
+| Order Items by Status | Table |
+
+
+
+
+#### Products sheet
+
+* Track performance of products
+* Monitor availability and returns
+* Analyze top-selling items, category distribution, and trends in shopping lists and customer carts
+
+
+ Visuals in the products sheet
+
+| Visual | Visual Type |
+| ------------------------------------------- | ----------- |
+| Ratio of Active Concrete Products | Gauge |
+| Product Availability | Pie chart |
+| Top Products Sold by Quantity | Bar chart |
+| Top Products Sold by Revenue incl. Discount | Bar chart |
+| Top Products Returned by Quantity | Bar chart |
+| Products per Category | Bar chart |
+| Not Active Abstract Products per Category | Donut chart |
+| Top Products in Orders | Table |
+| Top Product in Carts of Logged-in Customers | Table |
+| Top Product in Shopping Lists | Table |
+| Not Available Products | Table |
+| Concrete Products | Table |
+
+
+
+
+
+#### Customers sheet
+
+Track the following customer metrics:
+* Order number and value per customer and B2B company
+* Registration trends
+* Locations with the most customers
+
+
+
+ Visuals in the customers sheet
+
+| Visual | Visual Type |
+| ------------------------------ | ----------- |
+| Number of Customers | KPI |
+| Customers by Gender | Pie chart |
+| Number of Active Companies | Gauge |
+| Customers by Order Value | Bar chart |
+| Customers by Number of Orders | Bar chart |
+| Customers by Location | Map |
+| Customers by Registration Date | Line chart |
+| Companies by Order Value | Bar chart |
+| Companies by Number of Orders | Bar chart |
+| Number of Merchants | KPI |
+
+
+
+
+#### Marketplace sheet
+
+* Track marketplace performance with insights into merchant status and commission
+* Get an overview of merchant orders, products, and offers
+
+
+ Visuals in the marketplace sheet
+
+| Visual | Visual Type |
+| ---------------------------------------- | ----------- |
+| Merchants Waiting for Approval | Table |
+| Merchant Online Status | Pie chart |
+| Total Commissions | KPI |
+| Merchants by Order Value | Bar chart |
+| Merchants by Number of Orders | Bar chart |
+| Merchants by Number of Abstract Products | Bar chart |
+| Merchants by Number of Product Offers | Bar chart |
+| Merchant Product Approval Status | Donut chart |
+| Merchant Product Offer Approval Status | Donut chart |
+| Commission by Merchant | Bar chart |
+| Commission by Product Category | Bar chart |
+| Commission Value | Table |
+| Merchant Order Items by Status | Pie chart |
+| Merchants by Registration Date | Line chart |
+
+
+
+
+## Exporting data
+
+
+When you need to share analytics data with users outside of Back Office, you can share individual visuals or whole analyses.
+
+For instructions, see the following docs:
+
+* [Exporting data from visuals](https://docs.aws.amazon.com/quicksight/latest/user/exporting-data.html)
+* [Exporting Amazon QuickSight analyses or dashboards as PDFs](https://docs.aws.amazon.com/quicksight/latest/user/export-dashboard-to-pdf.html)
+
+
+
+## Resetting analytics
+
+
+Sometimes you might want to start from scratch and get a fresh analytics account. Resetting analytics removes all assets and returns your account to the default state.
+
+Sometimes you might want to start from scratch and get a fresh analytics account.
+
+{% info_block warningBox %}
+
+Resetting analytics returns all default assets to the default state, erasing your changes. This recreates the default assets from scratch.
+The user initiating the reset becomes the ownes of the default assets, with all other users losing access to them. All custom assets created by other authors will remain in their ownership.
+
+{% endinfo_block %}
+
+## Next step
+
+[Best practices: working with analytics](/docs/pbc/all/business-intelligence/{{page.version}}/amazon-quicksight-third-party-integration/best-practices-working-with-analytics.html)
diff --git a/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/back-office-refresh-analytics-datasets.md b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/back-office-refresh-analytics-datasets.md
new file mode 100644
index 00000000000..e2bb3f66218
--- /dev/null
+++ b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/back-office-refresh-analytics-datasets.md
@@ -0,0 +1,47 @@
+---
+title: "Back Office: Refresh analytics datasets"
+description: Learn how to refresh analytics datasets in the Back Office.
+last_updated: Oct 24, 2024
+template: back-office-user-guide-template
+related:
+---
+
+This document describes how to refresh datasets manually and on a schedule.
+
+{% info_block infoBox %}
+
+* You can refresh data only with an author role.
+* To always keep your analyses up to date, we recommend setting up an automatic data refresh.
+
+{% endinfo_block %}
+
+
+
+## Set up a schedule to refresh an analytics dataset automatically
+
+1. In the Back Office, go to **Analytics**.
+2. On the **Analytics** page, go to **Datasets**.
+3. Click the dataset you want to refresh data for.
+ This opens the dataset's details.
+4. Click the **Refresh** tab.
+5. Click the **ADD NEW SCHEDULE** button.
+6. In the **Create a refresh schedule** window, select **Full refresh**.
+7. For **Time zone**, select a time zone according to which you want to set up a schedule.
+8. For **Start time**, choose a date and time to start refreshing the dataset.
+9. For **Frequency**, select how often you want to refresh the dataset.
+10. If you selected **Weekly** or **Monthly** in the previous step, for **Refresh on**, select a day to refresh the dataset on.
+11. Click **Save**.
+ This closes the window and displays the added refresh schedule in the **Schedules** pane.
+
+## Refresh an analytics dataset
+
+1. In the Back Office, go to **Analytics**.
+2. On the **Analytics** page, go to **Datasets**.
+ This opens the **Datasets** section.
+3. Click the dataset you want to refresh data for.
+ This opens the dataset's details.
+4. Click the **Refresh** tab.
+5. Click **REFRESH NOW**.
+6. In the **Refresh type** window, select **Full refresh**.
+7. In the **Confirm refresh** window, click **REFRESH**
+ This refreshes the page. A new refresh entry is displayed in the **History** pane. You can check the status of the refresh in the **Status** column.
diff --git a/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/best-practices-working-with-analytics.md b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/best-practices-working-with-analytics.md
new file mode 100644
index 00000000000..d63a0c41a1b
--- /dev/null
+++ b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/best-practices-working-with-analytics.md
@@ -0,0 +1,160 @@
+---
+title: "Best practices: working with analytics"
+description: Learn how to analyze and present shop data.
+last_updated: Oct 24, 2024
+template: back-office-user-guide-template
+related:
+---
+
+Amazon Quicksight is a powerful business intelligence tool. It's highly customizable and has a lot of tools that can't be covered in one document. This document describes a typical use case and how you can start working with analytics, but doesn't cover all the editing options.
+
+## Prerequisites
+
+[Set up Amazon QuickSight](/docs/pbc/all/business-intelligence/{{page.version}}/amazon-quicksight-third-party-integration/set-up-amazon-quicksight.html)
+
+
+## Back up the default analysis
+
+Amazon QuickSight is shipped with a default analysis that is used for default dashboards. We recommend duplicating the default analysis so you can learn how to create your own dashboards and keep the default analysis as a backup. To do it, follow the steps:
+
+1. In the Back Office, go to **Analytics**.
+2. On the **Analytics** page, click **Analyses**.
+3. Based on your business model, click on one of the following analyses:
+ * **B2B Analysis**
+ * **B2C Analysis**
+ * **B2B MP Analysis**
+ * **B2C MP Analysis**
+4. On the page of the analysis, click **File**>**Save as Analysis**.
+5. In the **Save a copy** window, enter an **Analysis name**.
+6. Click **SAVE**.
+ This duplicates the analysis and opens it. Now you can safely create your own dashboards based on this analysis.
+
+
+
+## Refresh data
+
+In this example, you're going to create an analysis with product availability data. Because availability is constantly changing, it's important for data to be up to date.
+
+To refresh product related datasets, do the following:
+1. On the **Analytics** page, go to **Datasets**.
+2. In the **Datasets** section, click on the **Product Concrete Availability** dataset.
+ This opens the dataset's details.
+3. Click the **Refresh** tab.
+4. Click **REFRESH NOW**.
+5. In the **Refresh type** window, select **Full refresh**.
+6. In the **Confirm refresh** window, click **REFRESH**
+ This refreshes the page. A new refresh entry is displayed in the **History** pane. You can check the status of the refresh in the **Status** column.
+
+You've manually refreshed data and now it's ready to be used in an analysis. For most datasets, you might want to set up an automatic data refresh so that data is always up to date. For instructions, see [Refresh analytics datasets](/docs/pbc/all/business-intelligence/{{page.version}}/amazon-quicksight-third-party-integration/back-office-refresh-analytics-datasets.html).
+
+
+## Create an analysis
+
+Analysis is basically a visualization of data in your datasets. To create one, follow the steps:
+
+1. On the **Analytics** page, go to **Analyses**.
+2. In the **Analyses** section, click **New analysis**.
+3. In the **Your Datasets** section, click on the **Order Totals (Custom SQL)** dataset.
+ This opens the dataset's details.
+4. Click **USE IN ANALYSIS**.
+ This creates an analysis called **Order Totals (Custom SQL)** with one visual.
+
+### Edit the visual
+
+In this example, you're going to create a product availability visual:
+
+1. To select the visual, click on it.
+2. In the **Data** pane, click on **Availability**.
+ This highlights the field and adds its data to the visual.
+3. In **Visuals** select the pie chart.
+ This shows the data as a pie chart.
+
+![concrete-product-availability](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/best-practices-analyzing-shop-data.md/concrete-product-availability.png)
+
+
+### Add one more visual
+
+1. Go to **Data** > **Add Dataset**.
+2. In the **Choose dataset to add** window, click on **Category + Localized Product Abstract**.
+3. Click **Select**
+ This shows a success message and the **Datasets in this analysis** window. Click **Close** to close the window.
+4. In the **Visuals** pane, click **+ADD**.
+This adds an empty visual to the sheet.
+5. Click on the visual you've added.
+6. In the **Data** pane, for **Dataset**, select **Category + Localized Product Abstract**.
+7. Add the **name[spy_category_attribute]** as a dimension to the **Y AXIS** section.
+8. Add the **sku** field as a measure to the **VALUE** field.
+
+![product-per-category](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/best-practices-analyzing-shop-data.md/product-per-category.png)
+
+9. Name of the visual is inherited from the fields you've added. To make it presentable, double-click the name.
+10. In the **Edit title** window, enter a name for the visual. For example, `Products per category`.
+11. To apply the change, click **Save**.
+
+This closes the the window and the new name of the visual is displayed.
+
+Now you know how to add data and format it in different ways. For more information on how to create analyses, see [Author Workshop](https://catalog.workshops.aws/quicksight/en-US/author-workshop).
+
+
+## Add filters
+
+1. In the toolbar, click the filter button.
+
+2. In the **Filters** pane, click **+ ADD** and select **store**.
+ This adds the filter to the pane.
+3. To edit the filter, click on it.
+4. To apply the filter to all the visual in the sheet, for **Applied to**, select **Single sheet**.
+5. To add filter controls, click the three dots next to the filter and select **Add control**>**Top of this sheet**.
+ This adds the filter controls to the top of the sheet.
+
+![store-filter](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/best-practices-analyzing-shop-data.md/store-filter.png)
+
+
+## Share the analysis
+
+If you want another author to collaborate with you on the analysis, you can share it.
+
+To share an analysis, follow the steps:
+
+1. On the page of the analysis, go to **File** > **Share**.
+2. In the **Share analysis**, enter and select the email address of the author to share the analysis with.
+ This displays the user in the table.
+3. Repeat the previous step until you've added all the authors you want to share the analysis with.
+4. Click **Share**
+ This closes the window. The added users can now edit the analysis.
+
+{% info_block infoBox "Manage permissions" %}
+
+You can check and manage permissions of all users to an analysis in **File**>**Share**>**Manage analysis permissions**.
+
+{% endinfo_block %}
+
+
+
+
+## Publish analysis as a dashboard and share
+
+Most of your analytics users will be readers with view permissions for dashboards. When you're ready to share the analysis with a wider audience, you need to publish it as a dashboard so that the readers can access it.
+
+To publish and share a dashboard, follow the steps:
+
+1. To publish a dashboard, on the page of an analysis click **PUBLISH**.
+2. For **Publish new dashboard as**, enter a name for the dashboard.
+3. To confirm, click **Publish dashboard**.
+ This publisher the dashboard and opens its page.
+
+![published-dashboard](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/amazon-quicksight-third-party-integration/best-practices-analyzing-shop-data.md/published-dashboard.png)
+
+4. To share the dashboard, in the top-right corner, click the share icon and select **Share dashboard**.
+ This opens the **Share dashboard** page.
+5. In the **Invite users and groups to dashboard** pane, start entering the email address of a user.
+ This shows users with matching email addresses as you're typing.
+6. Next to the needed user, click **ADD** and select the permissions to assign to them.
+ This shows the user in the **Manage permissions** pane with the permissions you've assigned.
+
+
+## Learn more
+
+In this guide, you've followed a typical user journey of creating, collaborating, and presenting data in a meaningful way. Now you can play around with these tools or learn more using the following materials:
+* [Author Workshop](https://catalog.workshops.aws/quicksight/en-US/author-workshop)
+* [Amazon QuickSight - Getting Started](https://explore.skillbuilder.aws/learn/course/external/view/elearning/14908/getting-started-with-amazon-quicksight)
diff --git a/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/manage-analytics-users-and-roles.md b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/manage-analytics-users-and-roles.md
new file mode 100644
index 00000000000..2f0290a6669
--- /dev/null
+++ b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/manage-analytics-users-and-roles.md
@@ -0,0 +1,20 @@
+---
+title: Manage analytics users and roles
+description: Learn how to add and remove analytics users and update their roles.
+template: concept-topic-template
+last_updated: Oct 24, 2024
+---
+
+When setting up Amazon QuickSight for the first time, Back Office users get access to analytics based on the contract terms. User are assigned with roles, such as author or reader, defining their permissions when working with analytics. This document explains how you can update the list of users that have access to analytics or change their roles.
+
+Changes to the users setup affect the price of Amazon QuickSight license.
+
+To update analytics users, follow the steps.
+1. Create a support ticket for updating analytics users on [Spryker Support Portal](https://support.spryker.com/s/).
+ Provide the list of users you want to add or remove. For each new user, specify their role. You can request the roles of the existing users to be updated too.
+
+2. Once your contract is updated, we add the requested changes to your users setup. Wait until you get a confirmation about this change.
+
+3. In the Back Office, go to **Analytics**.
+4. On the **Analytics** page, click **Synchronize Users**.
+ This updates the users setup per your request.
diff --git a/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/set-up-amazon-quicksight.md b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/set-up-amazon-quicksight.md
new file mode 100644
index 00000000000..f86913d2d41
--- /dev/null
+++ b/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/set-up-amazon-quicksight.md
@@ -0,0 +1,35 @@
+---
+title: Set up Amazon QuickSight
+description: First steps to set up Amazon QuickSight
+template: concept-topic-template
+last_updated: Oct 24, 2024
+---
+
+This document describes how to set up Amazon QuickSight.
+
+1. To request Business Intelligence powered by Amazon QuickSight, contact your Customer Success Manager at [the analytics contact page](https://now.spryker.com/contact-analytics).
+ After the contract is signed, we activate Amazon QuickSight for your project.
+2. [Install the Amazon QuickSight feature]().
+
+3. Log into the Back Office with the user for which you've requested an Author analytics role.
+
+4. In the Back Office, go to **Analytics**.
+
+5. On the **Analytics** page, click **Synchronize Users**.
+ This updates the analytics roles for the Back Office users you've requested in your contract.
+6. Click **Enable Analytics**.
+ This opens the **Analytics** page with a progress message displayed.
+
+{% info_block infoBox "" %}
+
+The user who enables analytics is assigned as an owner of all the default assets, such as data sets, analyses, and dashboards. You can transfer ownership later.
+
+{% endinfo_block %}
+
+
+6. Wait for the estimated amount of time and refresh the page.
+ This should display the analytics interface. Now, you can start working with data.
+
+## Next steps
+
+[Best practices: Analyzing shop data](/docs/pbc/all/business-intelligence/202410.0/amazon-quicksight-third-party-integration/best-practices-working-with-analytics.html)
diff --git a/docs/pbc/all/business-intelligence/202410.0/business-intelligence.md b/docs/pbc/all/business-intelligence/202410.0/business-intelligence.md
new file mode 100644
index 00000000000..175fdfe81a4
--- /dev/null
+++ b/docs/pbc/all/business-intelligence/202410.0/business-intelligence.md
@@ -0,0 +1,15 @@
+---
+title: Business Intelligence
+description: Tools for analyzing and presenting data
+template: concept-topic-template
+last_updated: Oct 24, 2024
+---
+
+Business Intelligence capability provides you with powerful tools for extracting, organizing, and presenting data. With highly customizable assets, you can work with the data that's important to you and make informed business decisions.
+
+![business-intelligence](https://spryker.s3.eu-central-1.amazonaws.com/docs/pbc/all/business-intelligence/business-intelligence.md/business-intelligence.png)
+
+
+## Next steps
+
+[Amazon QuickSight](/docs/pbc/all/business-intelligence/{{page.version}}/amazon-quicksight-third-party-integration/amazon-quicksight.html)
diff --git a/docs/pbc/all/user-management/202410.0/base-shop/manage-in-the-back-office/manage-users/edit-users.md b/docs/pbc/all/user-management/202410.0/base-shop/manage-in-the-back-office/manage-users/edit-users.md
index fbcc10927b1..53067ad87c9 100644
--- a/docs/pbc/all/user-management/202410.0/base-shop/manage-in-the-back-office/manage-users/edit-users.md
+++ b/docs/pbc/all/user-management/202410.0/base-shop/manage-in-the-back-office/manage-users/edit-users.md
@@ -19,7 +19,7 @@ This document describes how to edit users in the Back Office.
## Prerequisites
-Review the [reference information](#reference-information-editing-users) before you start, or look up the necessary information as you go through the process.
+Review the [reference information](#reference-information-edit-users) before you start, or look up the necessary information as you go through the process.
## Editing users
@@ -41,9 +41,7 @@ Review the [reference information](#reference-information-editing-users) before
9. Click **Update**.
This opens the **Users** page with the success message displayed.
-## Reference information: Editing users
-
-The following table describes the attributes you enter and select when editing users:
+## Reference information: Edit users
| ATTRIBUTE | DESCRIPTION |
| --- | --- |