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Data flow: Azure Blob Storage ? OpenText Core Experience Insights
Organizations can store large content assets such as training videos, product manuals, policy documents, and customer-facing downloads in Azure Blob Storage, then feed access and interaction events into OpenText Core Experience Insights. This helps teams measure which files are most viewed, where users drop off, and which content types drive the highest engagement.
Business value: Improves content strategy, identifies underperforming assets, and supports data-driven decisions for digital workplace and customer content programs.
Data flow: Azure Blob Storage ? OpenText Core Experience Insights
Training teams can host onboarding materials, compliance videos, and job aids in Azure Blob Storage while OpenText Core Experience Insights tracks how employees interact with those materials. Analytics can reveal completion trends, repeat views, and content gaps by department or role.
Business value: Helps learning and development teams optimize training content, reduce onboarding time, and improve compliance adoption.
Data flow: Azure Blob Storage ? OpenText Core Experience Insights
Customer portals often rely on Azure Blob Storage for downloadable assets such as invoices, statements, product sheets, and support documents. By integrating usage data into OpenText Core Experience Insights, organizations can understand which assets customers access most, which documents are ignored, and where self-service journeys break down.
Business value: Enhances customer experience, reduces support calls, and improves self-service content effectiveness.
Data flow: Azure Blob Storage ? OpenText Core Experience Insights
Enterprises can store knowledge articles, templates, and reference files in Azure Blob Storage and use OpenText Core Experience Insights to analyze how employees consume them. Insights can highlight search-to-open patterns, frequently accessed files, and content that is rarely used but still maintained.
Business value: Supports knowledge management teams in retiring outdated content, improving findability, and increasing employee productivity.
Data flow: OpenText Core Experience Insights ? Azure Blob Storage
OpenText Core Experience Insights can identify low-value or infrequently accessed content, which can then trigger lifecycle actions in Azure Blob Storage such as tiering, archiving, or deletion. This is especially useful for large media libraries, document archives, and historical project files.
Business value: Reduces storage costs, improves governance, and helps IT teams manage content retention more effectively.
Data flow: Bi-directional
Content teams can store multiple versions of a document, video, or guide in Azure Blob Storage and use OpenText Core Experience Insights to compare engagement across formats, lengths, or delivery channels. Based on the analytics, teams can update the preferred version in storage and retire less effective variants.
Business value: Enables evidence-based content design, improves user engagement, and supports continuous improvement initiatives.
Data flow: Azure Blob Storage ? OpenText Core Experience Insights
Business leaders often need visibility into how content investments are performing across regions, business units, or customer segments. Azure Blob Storage can serve as the repository for content assets, while OpenText Core Experience Insights aggregates interaction data into executive dashboards showing adoption, reach, and engagement trends.
Business value: Provides leadership with measurable evidence of content impact and helps prioritize future digital workplace or customer experience investments.
Data flow: Azure Blob Storage ? OpenText Core Experience Insights
Support organizations can store troubleshooting guides, how-to videos, and downloadable fix scripts in Azure Blob Storage and track how users engage with them through OpenText Core Experience Insights. If users repeatedly access certain assets after opening a case, the support team can refine the content or improve its placement in the portal.
Business value: Increases self-service success, reduces case volume, and improves the quality of support content.