Azure Computer Vision - OpenText Core Experience Insights Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText Core Experience Insights

Azure Computer Vision and OpenText Core Experience Insights complement each other well in enterprise content and experience programs. Azure Computer Vision automates the extraction of visual and text-based metadata from images and documents, while OpenText Core Experience Insights measures how users interact with content, helping teams understand what is being used, where engagement is strong, and where experience improvements are needed. Together, they support smarter content operations, better discoverability, and continuous optimization of digital experiences.

1. Automated content tagging with engagement-based optimization

Data flow: Azure Computer Vision to OpenText Core Experience Insights

Azure Computer Vision can analyze images, scanned documents, and visual assets to generate tags, OCR text, object labels, and descriptions. Those enriched assets can then be tracked in OpenText Core Experience Insights to measure which tagged content is most viewed, searched, downloaded, or reused across teams and channels.

• Automatically enrich new assets in a DAM or content repository
• Measure which tags and content categories drive the highest engagement
• Identify underperforming asset types that need better metadata or curation

Business value: Reduces manual metadata work while improving content findability and helping content teams focus on the asset types that deliver the most value.

2. OCR-driven document analytics for knowledge management

Data flow: Azure Computer Vision to OpenText Core Experience Insights

Azure Computer Vision can extract text from scanned contracts, forms, invoices, manuals, and legacy documents. OpenText Core Experience Insights can then analyze how employees or customers interact with those documents, such as search frequency, time spent, abandonment rates, and repeat access patterns.

• Convert scanned content into searchable text
• Track which document types are most accessed and by whom
• Spot documents that are difficult to find or use effectively

Business value: Improves knowledge access and helps information governance teams prioritize digitization and content cleanup efforts based on actual usage.

3. Image content quality improvement based on user behavior

Data flow: Bi-directional

Azure Computer Vision can classify and describe images used in portals, intranets, product catalogs, or customer-facing applications. OpenText Core Experience Insights can reveal whether users engage with those pages or assets, where they drop off, and which visual content supports better outcomes. Insights can then be used to refine the image selection, labeling, and presentation strategy.

• Analyze visual assets for objects, text, and relevance
• Measure engagement with pages or experiences containing those assets
• Adjust image placement, naming, and metadata based on usage data

Business value: Helps digital teams improve content effectiveness using evidence from actual user behavior rather than assumptions.

4. Accessibility enhancement and validation

Data flow: Azure Computer Vision to OpenText Core Experience Insights

Azure Computer Vision can generate alt text and detect text embedded in images, supporting accessibility compliance. OpenText Core Experience Insights can then measure whether accessible content improves engagement, reduces abandonment, or increases completion rates for key workflows.

• Generate alt text for images at scale
• Track whether accessible content improves task completion
• Identify content areas where accessibility improvements have the highest impact

Business value: Supports compliance and inclusion goals while giving teams measurable evidence of accessibility improvements.

5. Customer-submitted image analysis with experience feedback loops

Data flow: Azure Computer Vision to OpenText Core Experience Insights

In customer service or claims workflows, Azure Computer Vision can analyze uploaded photos for product condition, damage, or document completeness. OpenText Core Experience Insights can track how users interact with the upload journey, where they encounter friction, and which submission paths lead to successful completion.

• Validate image quality and content automatically
• Measure drop-off rates in upload and submission workflows
• Use interaction data to simplify forms and improve guidance

Business value: Lowers manual review effort and improves customer completion rates for image-based service processes.

6. Content moderation and brand safety monitoring

Data flow: Azure Computer Vision to OpenText Core Experience Insights

Azure Computer Vision can detect logos, objects, and potentially inappropriate visual content in user-generated or partner-submitted assets. OpenText Core Experience Insights can then show how moderated content affects engagement, approval rates, and content reuse across campaigns or channels.

• Automatically flag risky or off-brand visual content
• Track moderation outcomes and review workload
• Analyze whether approved content performs better with users

Business value: Improves brand governance while helping marketing and compliance teams understand the downstream impact of moderation decisions.

7. Product catalog enrichment and merchandising performance analysis

Data flow: Azure Computer Vision to OpenText Core Experience Insights

Azure Computer Vision can identify products, attributes, and text in product images for e-commerce or retail catalogs. OpenText Core Experience Insights can then measure how enriched product content influences search behavior, product page engagement, and conversion-related interactions.

• Auto-tag product images with attributes and OCR text
• Track which enriched product pages attract more views and clicks
• Identify catalog gaps where better visual metadata could improve discovery

Business value: Speeds catalog operations and supports merchandising teams with data on which product content drives stronger customer engagement.

8. Continuous improvement for digital workplace content experiences

Data flow: Bi-directional

Azure Computer Vision can enrich internal content such as policy scans, training materials, and onboarding documents. OpenText Core Experience Insights can monitor how employees use that content across intranet or workplace applications. The combined data can guide content redesign, taxonomy updates, and workflow improvements.

• Extract metadata from internal visual and scanned content
• Measure adoption of knowledge assets and training materials
• Use usage trends to refine content structure and navigation

Business value: Improves employee self-service, reduces support requests, and helps internal communications and HR teams optimize content based on real usage patterns.