AWS solutions documentation change
Summary
Replaced 'solution' with 'guidance' terminology throughout custom reporting documentation, including dataset references and dashboard setup instructions.
Security assessment
Terminology updates only. No security-related changes detected. The existing security practice of using Secrets Manager credentials remains unchanged. No new security features or vulnerability mitigations introduced.
Diff
diff --git a/solutions/latest/clickstream-analytics-on-aws/custom-report-1.md b/solutions/latest/clickstream-analytics-on-aws/custom-report-1.md index ce3a4f15d..9f04dfffe 100644 --- a//solutions/latest/clickstream-analytics-on-aws/custom-report-1.md +++ b//solutions/latest/clickstream-analytics-on-aws/custom-report-1.md @@ -3 +3 @@ -[Documentation](/index.html)[Clickstream Analytics on AWS](https://aws.amazon.com/solutions/implementations/clickstream-analytics-on-aws)[Implementation Guide](solution-overview.html) +[Documentation](/index.html)[Guidance for Clickstream Analytics on AWS](https://aws.amazon.com/solutions/guidance/clickstream-analytics-on-aws/)[Implementation Guide](solution-overview.html) @@ -9 +9 @@ Option 1- create custom analysis with preset QuickSight datasetOption 2 - create -One of the key benefits of this solution is that you have complete control over the clickstream data collected from your apps and websites. You have complete flexbility to analyze the data for your specific business needs. This article illustrates the steps of creating a custom report with an example of creating funnel analysis by using Redshift Serverless as analytics engine and QuickSight as reporting tools. +One of the key benefits of this guidance is that you have complete control over the clickstream data collected from your apps and websites. You have complete flexbility to analyze the data for your specific business needs. This article illustrates the steps of creating a custom report with an example of creating funnel analysis by using Redshift Serverless as analytics engine and QuickSight as reporting tools. @@ -15 +15 @@ There are two options to create custom analyses. The following examples will gui -The solution had created a `Event_View-<app>-<project> `dataset which stores all the raw event data, includes both common and custom dimension, joined with user attributes and session attributes in QuickSight, you can use these datasets to create custom analysis based on your specific requirements. +The guidance had created a `Event_View-<app>-<project> `dataset which stores all the raw event data, includes both common and custom dimension, joined with user attributes and session attributes in QuickSight, you can use these datasets to create custom analysis based on your specific requirements. @@ -43 +43 @@ For example, let's say you have a custom event view_item that records when a use - 13. To enable your custom analysis to appear in the Dashboards module of the Clickstream Analytics Studio, you need to add the dashboard into the Shared folder with name of the <project-id>_<app_id>, which was pre-created by the solution. After you added the custom dashboard into the Shared folder, it will automatically display in the Clickstream Analytics Studio. + 13. To enable your custom analysis to appear in the Dashboards module of the Clickstream Analytics Studio, you need to add the dashboard into the Shared folder with name of the <project-id>_<app_id>, which was pre-created by the guidance. After you added the custom dashboard into the Shared folder, it will automatically display in the Clickstream Analytics Studio. @@ -54 +54 @@ For example, let's say you have a custom event view_item that records when a use - 2. Choose the workgroup starting with `clickstream-<project-id>` created by the solution. + 2. Choose the workgroup starting with `clickstream-<project-id>` created by the guidance. @@ -166 +166 @@ Now you can publish this analysis as dashboard or continue to format it. For mor -To enable your custom dashboard to appear in the Dashboards module of the Analytics Studio, you need to add the dashboard into the Shared folder with the name of `<project-id>_<app_id>`, which was pre-created by the solution. +To enable your custom dashboard to appear in the Dashboards module of the Analytics Studio, you need to add the dashboard into the Shared folder with the name of `<project-id>_<app_id>`, which was pre-created by the guidance.