Metadata Management
The growing need for organizations to reveal and apply a holistic and complete approach to enterprise data management that enables strategic data initiatives to grow the business.
Our Approach
Semaphore’s semantic approach to data governance and metadata management - structured or unstructured, internal or external to the enterprise - allows organizations to harmonize, extract, and create metadata to decipher, filter, and connect enterprise data. Transforming data into knowledge prevents revenue leakage, minimizes risk, and accelerates growth - allows the business to outpace the competition.
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Holistic and Complete
Semantics provides a “universal language” for describing disparate systems. This approach can be used to describe both business and IT concepts where business users gain a connected view of disparate systems without the need for data migration.
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Data Inventory
Use a semantic model to represent the format of the data; provides additional value when combined with data catalogs.
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Data Catalog
Create a system or application-level data catalog that models the relationship between systems/applications and the data they contain.
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Business Data Catalog
Link one or more business glossaries to the data catalog to create a business-centric view. This allows business and technical teams to maintain their own information within the metadata management framework. The models are simply linked together to create a unified view of the semantic business data catalog.
“Very unique AI-based metadata management solution which helped us to transform data into knowledge to increase growth and reduce risk.”
Analytics Manager
FINANCIAL SERVICES
Infographic
SoftwareReviews, a leading source for insights on the software provider landscape, has published its 2023 Metadata Management Data Quadrant Report, ranking Progress Semaphore #1 in the category with a best-in-class Composite Score of 9.3/10. Here we showcase some of the top accolades customers have given Progress Semaphore.
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