How do I integrate Amazon S3 bucket with Brand Control Center to push the analytics data?

Integrating your S3 storage with the Brand Control Center enables automated delivery of analytics data directly into your data infrastructure. This allows you to:

Export analytics for external BI tools and dashboards
Maintain centralized data storage for reporting and compliance
Enable advanced data analysis and modeling
Automate data pipelines without manual exports
Align analytics with your internal data ecosystem

This integration ensures your data is always accessible, structured, and ready for deeper insights.

Guide: Step-by-step setup

Step 1: Open S3 Storage configuration

Log in to your Brand Control Center
Navigate to Settings
Select Data Source > S3 Storage

Step 2: Enable “Push Data”

Locate the Push Data configuration section
Enable the option to start configuring your S3 integration

Step 3: Enter S3 bucket details

Provide the following required details:

Bucket Name - Your S3 bucket name
Bucket ID - Unique identifier for the bucket
Access Key ID - AWS access key for authentication
Secret Token - AWS secret access key

Ensure the credentials have proper permissions to write data into the bucket.

Step 4: Configure data sync settings

Define how and when data should be pushed:

Data Sync Frequency
- Daily
- Weekly
- Monthly
Data File Format
- CSV
- Parquet

Choose formats based on your analytics and processing requirements (Parquet is recommended for large-scale analytics).

Step 5: Configure ClipIt & Uploads data paths

For content ingestion workflows, provide additional details:

Region - AWS region where your bucket is hosted
Path - Folder path within the bucket for storing data

This ensures data from:

ClipIt workflows
Uploads workflows

is correctly structured and organized within your S3 storage.

Step 6: Save and validate configuration

Click Save / Apply Settings
System will validate the connection and credentials
Once successful, data push will begin based on configured frequency

How it works (System behavior)

BCC generates analytics data based on platform activity
Data is packaged in the selected format (CSV/Parquet)
Files are pushed to your configured S3 bucket at defined intervals
Separate paths ensure structured storage for different workflows (ClipIt, Uploads, etc.)

Best practices

Use Parquet format for better performance and storage efficiency
Organize S3 paths by date or category for easier querying
Restrict access keys with minimal required permissions
Monitor sync jobs to ensure data consistency
Integrate with tools like data warehouses or BI platforms for advanced reporting

Specs & Limitations

Requires valid AWS credentials with write access to the S3 bucket
Sync frequency defines when data becomes available externally
Incorrect region or path configuration may lead to failed uploads
Data schema depends on analytics configuration within BCC
Large datasets may take time to sync based on volume