Data Retention

Comprehensive Guide to Self-Heal Data Retention & Analytics

Effective data retention is crucial for maintaining system efficiency, optimizing database performance, and ensuring long-term accessibility of historical records. The Self-Heal Data Retention Management & Analytics features empower administrators to configure retention policies, automate archival processes, and monitor stored data efficiently.

1. Self-Heal Data Retention Management

1.1 Overview

The Self-Heal Data Retention Management feature allows administrators to define policies that determine how long specific data is actively stored before being archived. Since certain system tables accumulate large amounts of data, this feature ensures that only the most recent one to six months of records remain in the active database, while older data is securely archived in Excel format for future reference.

1.2 Key Features & Information

The Data Retention Management section provides the following essential details:

Additionally, new retention policies can be added using the “+ Data Retention” button.

1.3 Configuring Data Retention Settings

A. Accessing the Data Retention Management Page

1. Open the Dashboard and navigate to Self-Heal.
2. Click on Data Retention and select Data Retention Management.

B. Adding a New Retention Policy

1. Click on the “+ Data Retention” button.
2. Enter the required details:

3. • Table Name: Select the table (e.g., Admin Action, Rules, Agent Version).

   • Retention Period: Choose between 1 to 6 months.

   • Enabled Status: Set to True (Active) or False (Inactive).

4. Click Save to apply the retention policy.

C. Modifying an Existing Retention Policy

1. Locate the retention policy from the list.
2. Click Edit to modify the settings.
3. Adjust the Retention Period or Enabled Status as required.
4. Click Save to confirm the changes.

1.4 How Data Retention Works

• The system automatically retains only the most recent 1 to 6 months of data.
• Older records are archived in Excel files for long-term storage and compliance.
• Administrators can modify retention settings anytime to meet business needs..

2. Self-Heal Data Retention Analytics

2.1 Overview

The Self-Heal Data Retention Analytics feature provides a centralized view of archived data, enabling administrators to track which tables have undergone data retention, view cutoff dates, and access stored backups.

By ensuring that only relevant data remains active while older data is securely archived, this feature helps maintain database efficiency and compliance with retention policies.

2.2 Key Features & Information

The Data Retention Analytics page includes:

If no data has been archived yet, the page will display “No data available.”

2.3 Accessing Data Retention Analytics

A. Viewing Retained Data

1. Open the Dashboard and go to Self-Heal.
2. Click on Data Retention and select Data Retention Analytics.
3. Review the list of archived tables and their retention details.

B. Analyzing Archived Data

1. Check the Cutoff Date to determine when the retention process was applied.
2. Click the Excel File link (if available) to download archived data.
3. Verify the Status column to confirm if retention was successfully processed.

2.4 How Data Retention Analytics Works

• The system automatically archives data based on retention policies configured in Self-Heal Data Retention Management.
• Only recent 1 to 6 months of data remain active, ensuring optimal system performance.
• Archived data is stored in Excel format and can be accessed anytime for reference.
• If no data has been archived yet, the analytics page will display an empty table.