AWS connect documentation change
Summary
Added documentation for in-app notifications feature and updated terminology from 'analytics data lake' to 'data lake' throughout the document
Security assessment
The in-app notifications feature allows sending messages with URLs to users, but there's no evidence of security vulnerabilities being addressed. The terminology change from 'analytics data lake' to 'data lake' appears to be branding consistency without security implications. No security controls, vulnerabilities, or incidents are mentioned in the changes.
Diff
diff --git a/connect/latest/adminguide/amazon-connect-release-notes.md b/connect/latest/adminguide/amazon-connect-release-notes.md index 333ddfb09..88681fd74 100644 --- a//connect/latest/adminguide/amazon-connect-release-notes.md +++ b//connect/latest/adminguide/amazon-connect-release-notes.md @@ -34,0 +35,6 @@ For more information, see [CSV upload for dependent field options](./case-field- +### In-app notifications keep users informed of urgent updates and actions + +Amazon Connect Now users in the Amazon Connect admin website can be provided notifications in their header, so urgent updates and follow-on actions can be seen from any page within the Amazon Connect admin website. APIs allow services and customers to publish brief messages (including URLs) to a specified audience, and a new header icon will indicate when unread messages are available. On click, the user can read the message, mark as unread if necessary, and follow links to reports or other UIs if follow-on actions are advised. + +For more information, see In-app notifications keep users informed of urgent updates and actions. + @@ -371 +377 @@ This capability allows you to capture interactive and dynamic customer input on -Agent time-off balance data is available in the Amazon Connect analytics data lake, making it easier for you to generate reports and insights from this data. You access the latest and historical agent time-off balances across different time-off categories (paid time-off, sick leave, leave of absence, etc.) in the analytics data lake. You can also view a chronological list of all transactions that impacted the balance. For example, if an agent starts with 80 hours of paid time-off on January 1, submits a 20-hour request on January 3, and later cancels it, you can see each transaction's impact on the final 80-hour balance. This makes time-off management easier by eliminating the need for managers to manually reconcile balances and time-off transactions. +Agent time-off balance data is available in the Amazon Connect data lake, making it easier for you to generate reports and insights from this data. You access the latest and historical agent time-off balances across different time-off categories (paid time-off, sick leave, leave of absence, etc.) in the data lake. You can also view a chronological list of all transactions that impacted the balance. For example, if an agent starts with 80 hours of paid time-off on January 1, submits a 20-hour request on January 3, and later cancels it, you can see each transaction's impact on the final 80-hour balance. This makes time-off management easier by eliminating the need for managers to manually reconcile balances and time-off transactions. @@ -812 +818 @@ Added the following chat metrics to Amazon Connect. Each metric is available in -Also added fields to the [Contact record](./data-type-definitions.html#data-lake-contacts-record) in the Amazon Connect analytics data lake. +Also added fields to the [Contact record](./data-type-definitions.html#data-lake-contacts-record) in the Amazon Connect data lake. @@ -1019 +1025 @@ Amazon Connect Analytics Data Lake provides a unified source for contact center -Analytics data lake enables contact center managers to leverage BI tools of their choice, such as QuickSight, to analyze the information that matters most to improving customer experience and operational efficiency. +The data lake enables contact center managers to leverage BI tools of their choice, such as QuickSight, to analyze the information that matters most to improving customer experience and operational efficiency. @@ -1021 +1027 @@ Analytics data lake enables contact center managers to leverage BI tools of thei -For more information on Analytics data lake, see [Amazon Connect analytics data lake](./data-lake.html). +For more information, see [Amazon Connect data lake](./data-lake.html). @@ -1023 +1029 @@ For more information on Analytics data lake, see [Amazon Connect analytics data -There are updated tables for Contact records, Contact Evaluation records, Lex, and Outbound Campaigns. For tables of the latest fields, see [Data type definitions for the Amazon Connect analytics data lake](./data-type-definitions.html). +There are updated tables for Contact records, Contact Evaluation records, Lex, and Outbound Campaigns. For tables of the latest fields, see [Data type definitions for the Amazon Connect data lake](./data-type-definitions.html). @@ -1333 +1339 @@ To gain visibility into the real-time recommendations that Connect AI agents pro -You can use published forecast (short-term and long-term) data in the analytics data lake. This makes it easier for you to generate reports and insights from this data. For example, you can build dashboards that compare forecasts against actuals or view this data in conjunction with other data sets such as sales forecasts. You can also automate ingestion of this data in business intelligence tools. To generate these reports and insights, you can use Amazon Athena with Amazon Quick Suite or another business intelligence tool of your choice. +You can use published forecast (short-term and long-term) data in the data lake. This makes it easier for you to generate reports and insights from this data. For example, you can build dashboards that compare forecasts against actuals or view this data in conjunction with other data sets such as sales forecasts. You can also automate ingestion of this data in business intelligence tools. To generate these reports and insights, you can use Amazon Athena with Amazon Quick Suite or another business intelligence tool of your choice. @@ -1865 +1871 @@ You can use Analytics data lake as a central location to query various types of -For more information, see [Access Amazon Connect analytics data lake](./access-datalake.html). In addition, see new actions in the [Analytics data lake actions](https://docs.aws.amazon.com/connect/latest/APIReference/analyticsdataset-api.html) topic in the _Amazon Connect API Reference_. +For more information, see [Access Amazon Connect data lake](./access-datalake.html). In addition, see new actions in the [Analytics data lake actions](https://docs.aws.amazon.com/connect/latest/APIReference/analyticsdataset-api.html) topic in the _Amazon Connect API Reference_.