Home | Connectors | Sprinklr | Sprinklr - OpenText Content Metadata Service - Dictionary Integration and Automation
Sprinklr and OpenText Content Metadata Service - Dictionary complement each other by connecting customer engagement operations with governed enterprise content classification. Sprinklr manages high-volume social, care, and marketing interactions, while OpenText Content Metadata Service - Dictionary provides the controlled metadata standards needed to classify content consistently across repositories. Together, they help enterprises improve content discoverability, approval governance, reporting accuracy, and workflow automation across digital customer experience teams.
Data flow: OpenText Content Metadata Service - Dictionary to Sprinklr
Marketing and social teams can use OpenText Content Metadata Service - Dictionary to define approved metadata such as campaign name, region, product line, audience segment, language, and content type. Sprinklr can then consume these standardized values when users upload or schedule social assets. This ensures every post, creative file, and campaign item is tagged consistently across teams and markets.
Data flow: OpenText Content Metadata Service - Dictionary to Sprinklr
Enterprises can use OpenText Content Metadata Service - Dictionary to define mandatory metadata fields for compliance-sensitive content, such as disclaimer type, approval status, legal entity, and retention category. Sprinklr workflows can reference these definitions before content is published, ensuring that only properly classified assets move through approval and scheduling stages.
Data flow: OpenText Content Metadata Service - Dictionary to Sprinklr
When Sprinklr is connected to a digital asset repository governed by OpenText Content Metadata Service - Dictionary, the metadata dictionary can standardize how assets are classified before they are surfaced in Sprinklr. Social managers can then locate approved images, videos, and copy faster using consistent metadata filters such as product, geography, channel, and usage rights.
Data flow: Bi-directional
OpenText Content Metadata Service - Dictionary can provide the controlled vocabulary for topics, products, competitors, and issue categories used in Sprinklr listening and analytics. In return, Sprinklr can feed engagement and sentiment insights back into OpenText governed taxonomies for enterprise reporting and knowledge management. This creates a shared language between customer experience, marketing, and content governance teams.
Data flow: OpenText Content Metadata Service - Dictionary to Sprinklr
Customer care teams using Sprinklr can route cases, canned responses, and knowledge references based on metadata defined in OpenText Content Metadata Service - Dictionary. For example, content can be tagged by issue type, product family, severity, or market, allowing care agents to quickly identify the right response assets and escalation paths.
Data flow: Sprinklr to OpenText Content Metadata Service - Dictionary
Sprinklr campaign performance data can be mapped to metadata standards maintained in OpenText Content Metadata Service - Dictionary, such as campaign ID, content theme, market, and channel. This allows enterprise reporting teams to consolidate social performance with broader content and marketing governance reports using a shared metadata model.
Data flow: OpenText Content Metadata Service - Dictionary to Sprinklr
Global enterprises often manage content across multiple regions, business units, and languages. OpenText Content Metadata Service - Dictionary can define a single metadata model for all markets, and Sprinklr can apply those definitions to publishing workflows, asset libraries, and approval processes. This helps regional teams work within local requirements while maintaining enterprise-level consistency.
Data flow: Sprinklr to OpenText Content Metadata Service - Dictionary
Sprinklr content, including published posts, responses, and campaign artifacts, can be classified using metadata definitions from OpenText Content Metadata Service - Dictionary to support retention, legal hold, and archival policies. This is especially valuable for organizations that need to preserve customer communications for audit, regulatory, or records management purposes.