Google Cloud Storage - OpenText Information Archive Integration and Automation

Common Integration Use Cases Between Google Cloud Storage and OpenText Information Archive

1. Long-Term Retention of Cloud-Native Application Data

Data flow: Google Cloud Storage ? OpenText Information Archive

Organizations can move older application files, logs, exports, and media assets from Google Cloud Storage into OpenText Information Archive for compliant long-term retention. This is useful when cloud storage is being used for active workloads, but business or regulatory policy requires records to be retained for many years with controlled disposition.

• Reduces Google Cloud Storage costs by moving inactive content to an archive repository
• Supports legal hold, retention schedules, and defensible deletion
• Preserves access to archived objects without keeping them in high-cost storage tiers

2. Decommissioning Legacy Systems While Preserving File-Based Content

Data flow: Legacy application exports in Google Cloud Storage ? OpenText Information Archive

When retiring older applications, teams can export documents, attachments, reports, and transaction-related files into Google Cloud Storage as a staging area, then ingest them into OpenText Information Archive for long-term preservation. This allows IT to shut down the legacy platform while keeping historical content accessible for audits, customer inquiries, and internal reference.

• Accelerates legacy system retirement and infrastructure savings
• Maintains searchable access to historical records after system shutdown
• Reduces operational risk from keeping obsolete applications online

3. Compliance Archiving for High-Volume Unstructured Content

Data flow: Google Cloud Storage ? OpenText Information Archive

Enterprises often store large volumes of unstructured content in Google Cloud Storage, such as scanned documents, images, videos, and generated reports. OpenText Information Archive can ingest selected content based on age, metadata, or business rules to enforce retention policies and support regulatory compliance.

• Applies consistent retention rules across content types and business units
• Improves audit readiness for regulated industries such as finance, healthcare, and public sector
• Enables policy-based disposition instead of manual file cleanup

4. Controlled Access to Archived Content for Business Users

Data flow: OpenText Information Archive ? Google Cloud Storage

In some cases, archived content can be exported from OpenText Information Archive back into Google Cloud Storage for temporary business use, such as analytics projects, legal review, or controlled external sharing. Google Cloud Storage can serve as a secure staging or distribution layer while the archive remains the system of record.

• Supports short-term access without reopening the archive system for every request
• Useful for eDiscovery, investigations, and project-based data extracts
• Allows secure sharing with downstream teams or third-party tools

5. Archive Staging for Analytics and Machine Learning Preparation

Data flow: OpenText Information Archive ? Google Cloud Storage

Archived business records can be extracted from OpenText Information Archive into Google Cloud Storage for preparation and enrichment before analytics or machine learning processing. This is valuable when organizations need historical records for trend analysis, customer behavior studies, or model training but want to keep the authoritative archive separate.

• Provides a scalable staging layer for large historical datasets
• Supports data preparation without exposing the archive to analytical workloads
• Improves collaboration between records management, data engineering, and analytics teams

6. Retention of Cloud Backup and Disaster Recovery Copies

Data flow: Google Cloud Storage ? OpenText Information Archive

Backup exports, snapshots, and recovery files stored in Google Cloud Storage can be transferred into OpenText Information Archive when they must be retained beyond operational recovery windows. This is especially relevant for industries with strict evidence retention or when backup data itself is subject to audit requirements.

• Separates operational backup storage from compliance retention storage
• Helps avoid keeping unnecessary backup copies in expensive active storage
• Supports governance over backup retention and deletion

7. Centralized Retention for Multi-Cloud and Hybrid Data Flows

Data flow: Bi-directional, depending on source system and retention policy

Organizations operating across cloud and on-premises environments can use Google Cloud Storage as a landing zone for files from multiple systems, then archive qualifying content into OpenText Information Archive. This creates a consistent retention model for data originating from applications, file shares, partner exchanges, and cloud-native services.

• Standardizes retention across hybrid and multi-cloud environments
• Reduces fragmentation in records management processes
• Improves governance for distributed business units and shared services teams

8. Secure Distribution of Archived Documents to Downstream Teams

Data flow: OpenText Information Archive ? Google Cloud Storage ? downstream consumers

Archived documents that need controlled redistribution, such as customer statements, policy documents, or regulatory submissions, can be extracted from OpenText Information Archive into Google Cloud Storage for secure delivery to internal teams, portals, or external recipients. This creates a manageable workflow for approved access while keeping the archive as the authoritative retention repository.

• Supports business processes that require occasional access to archived records
• Enables secure handoff to customer service, legal, finance, or compliance teams
• Improves service response times without compromising archive governance