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Azure Blob Storage - OpenText Magellan BI & Reporting Integration and Automation

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Common Integration Use Cases Between Azure Blob Storage and OpenText Magellan BI & Reporting

Azure Blob Storage is well suited for storing and distributing large volumes of files, while OpenText Magellan BI & Reporting is designed to analyze structured and unstructured data and deliver dashboards, operational reports, and analytics. Together, they can support scalable reporting, file-based data pipelines, and cross-functional decision-making.

1. Centralized data lake feeding BI dashboards

Flow: Azure Blob Storage to OpenText Magellan BI & Reporting

Organizations can store raw operational files such as CSV, JSON, XML, logs, and exported system extracts in Azure Blob Storage, then connect OpenText Magellan BI & Reporting to those files for reporting and analysis. This is useful for finance, operations, and supply chain teams that need a single source of truth for recurring reports.

  • Reduces manual file consolidation across departments
  • Supports scalable ingestion of large data sets
  • Improves consistency of reporting across teams

2. Automated reporting from shared document repositories

Flow: Azure Blob Storage to OpenText Magellan BI & Reporting

Business documents such as invoices, claims, contracts, and scanned forms can be stored in Azure Blob Storage and analyzed in OpenText Magellan BI & Reporting for operational reporting. For example, a claims team can track document volumes, processing times, and exception rates from stored files.

  • Enables reporting on unstructured content at scale
  • Helps teams monitor document processing performance
  • Supports compliance and audit reporting

3. Executive dashboards for file-based operational metrics

Flow: Azure Blob Storage to OpenText Magellan BI & Reporting

Enterprises often generate operational metrics in batch files from ERP, CRM, or line-of-business systems and store them in Azure Blob Storage. OpenText Magellan BI & Reporting can transform these files into executive dashboards showing KPIs such as order volume, backlog, SLA compliance, and regional performance.

  • Provides near-real-time visibility into business performance
  • Eliminates dependence on manual spreadsheet reporting
  • Improves decision-making for leadership teams

4. Content analytics for archived business records

Flow: Azure Blob Storage to OpenText Magellan BI & Reporting

Long-term archives of business records can be retained in Azure Blob Storage and analyzed in OpenText Magellan BI & Reporting to identify trends, exceptions, and patterns. This is valuable for legal, risk, and compliance teams that need reporting on historical content without moving it into a transactional system.

  • Supports retention-based analytics on archived content
  • Reduces storage and processing load on core systems
  • Improves visibility into historical business activity

5. Publishing BI outputs and report extracts to cloud storage

Flow: OpenText Magellan BI & Reporting to Azure Blob Storage

Reports, dashboards exports, and scheduled analytics outputs from OpenText Magellan BI & Reporting can be written to Azure Blob Storage for distribution to downstream users and systems. This is useful when business teams need report snapshots shared with external partners, regional offices, or automated workflows.

  • Creates a scalable distribution point for report outputs
  • Supports downstream consumption by other applications
  • Improves access for distributed teams and partners

6. Data staging for cross-system reconciliation

Flow: Bi-directional

Azure Blob Storage can act as a staging area for extracts from multiple source systems, while OpenText Magellan BI & Reporting performs reconciliation and variance analysis across those files. For example, finance teams can compare billing, payment, and shipment extracts to identify mismatches and exceptions.

  • Improves accuracy of financial and operational reconciliation
  • Supports exception-based reporting
  • Reduces manual spreadsheet-based matching

7. Self-service analytics on large external data sets

Flow: Azure Blob Storage to OpenText Magellan BI & Reporting

Data science, marketing, and operations teams can place large external data sets such as clickstream logs, customer interaction exports, or partner feeds in Azure Blob Storage and use OpenText Magellan BI & Reporting to build self-service analytics and dashboards. This helps teams explore trends without loading all data into core transactional platforms.

  • Supports scalable analytics on high-volume data
  • Reduces pressure on operational systems
  • Accelerates ad hoc analysis for business teams

These integrations are especially valuable when organizations need to combine low-cost, scalable file storage with enterprise reporting and analytics. Azure Blob Storage provides the durable content layer, while OpenText Magellan BI & Reporting turns that content into actionable business insight.

How to integrate and automate Azure Blob Storage with OpenText Magellan BI & Reporting using OneTeg?