DataVera use ontology-based solutions as a part of its services. We offer ontology-based data integration, semantic search, ontology-based data governance, and ontology-based data quality services. Ontologies is a powerful tool to enhance the data availability and make it more understandable for further processing and analysis. Ontologies and semantic technologies help to structure and organize data in a way that makes it more suitable to automated processing, and also make it easier to understand the meaning and context of the data.
DataVera is primarily focused on providing a variety of data analytics and data management services to businesses. We have a wide range of expertise, including data warehousing, data mining, data virtualization, business intelligence and ontology-based services. In addition, we use artificial intelligence and machine learning technologies to extract insights from large and complex data sets. Our main focus is to provide solutions that help businesses make data-driven decisions and optimize their IT infrastructure and operations. Our target customers are from various industries such as banking, retail, telecom, and logistics. DataVera's main value is to provide a comprehensive data management and analysis services to the customers.
Data management
- Enterprise data model development
- Data lifecycle audit, data management consulting, integrational procedures and tools implementation.
- The Customer's data stewards and analysts consulting.
- Corporate glossary (thesaurus) development.
- Data catalogues development.
- Data discovery, data search, logical data warehouses design and implementation.
MDM implementation and data consolidation
- Implementing MDM systems and/or corporate data consolidation solution using DataVera EKG Platform or other vendors software.
- Integrating MDM with the Customer's business applications.
- Initial data sets creation.
- Design of the master data management processes.
- Organizing implemented system preliminary tests, trial operation, acceptance tests.
Ontology engineering and ontology-based solutions implementation
- Ontologies design for any domain, including rules formalization. We develop OWL models using upper ontologies such as BFO, and well-known domain ontologises such as QUDT, SSN, CIM etc.
- Ontology-based IT systems design and development.
- Ontology-driven product lifecycle management.
IT architectures development
- IT systems design full cycle: gathering requirements, conceptual project design, Scope of Work (SoW) design, implementation supervising.
- Help in preliminary testing, trial operation, acceptance tests organization.
- Consulting in the micro-services architecture implementation, services clustering with Kubernetes, data storages design.
