Summary
The company provides products and services for integrating data from multiple heterogeneous sources into a cleanly structured, and always up-to-date Virtual Knowledge Graph. It serves applications like business intelligence, reporting, dashboarding, analytics, machine learning, and other scenarios where easily exploring and understanding data can provide real business value. The technology developed by the company is highly interoperable with third-party vendors (W3C recommendations compliant)
Description
Successful businesses know that data is the key to making better business decisions and succeed. However, searching for data and ensuring its quality is enormously time-consuming for companies. For example, studies show that in the oil&gas sector, engineers spend 30–70% of their time searching and integrating data derived from heterogeneous sources (Crompton, 2008).
The Italian company has developed an efficient solution to the problem of data integration (without needing a copy of the data), empowering organisations to understand and make profitable use of data. They do this by virtually combining data from different sources into an always up-to-date knowledge graph, which is easy to explore and allows for new insights and better business decisions. The company helps other businesses to get data from different sources without effort, to explore it, and to make better business decisions on always fresh data. It serves applications like business intelligence, reporting, dashboarding, analytics, machine learning, and any other scenario where easily exploring and understanding data can provide real business value. The technology developed by the company is highly interoperable with third-party vendors as it follows the relevant industry recommendations as specified, e.g., by the W3C.
What they offer:
- Services:
Consulting for big data integration projects, specialized in VKG (Virtual Knowledge Graphs): they provide expertise in solving complex and delicate situations regarding data integration (without needing a copy of the data) for medium to large multinational organizations in different industries. They provide extensive know-how in working with open source data integration softwares and are also main contributors to Ontop.
- Product:
Ontopic Studio is a user-friendly mapping editor, which turns relational Data into a Knowledge Graph with no-code.
Using and strictly complying with open standards, Ontopic Studio’s core engine combines top-level research with best practices to help you design large high-quality mappings productively.
The developed solution makes data integration faster and easier. It doesn't require any knowledge of programming languages. The carefully designed user interface guides the user through the main tasks of data integration and can be proficiently used even without any knowledge of programming or SQL. The virtual approach doesn't require changing the current setup of the data sources. So the client can use its existing data and just add the virtual layer on top.
Tehirsolution allows the client to increase the size of actual projects and to continuously build up on them sustainably in the future. It enables organizations to implement a FAIR data approach.
Some features of Ontopic Studio:
- It has a slick and intuitive user interface.
- It supports the main database systems and database federators such as Dremio, Denodo or Teiid as data sources.
- It can import existing Ontologies or create new ontologies.
- It allows users to visualize and apply simple transformation of the data through virtual views defined outside/above the
data sources, without the need to touch the real data.
- The mapping can be incrementally adapted and extended.
- Easy navigation between mapping entries and filtering by ontology classes and properties.
- The users can recognize which data has already been mapped and which data has to be still mapped.
- Multiple users can work simultaneously on the same project.
- It provides a git repository for the export of data (mappings, ontologies, views) that can also be used as a back-up for
re-importing the project in the current state.
- It is interoperable with other BI systems in the market, like PowerBI and Tableau
- It enables exporting of the mapping in R2RML and ontology in the OWL2QL standard.
The company has a solid background in working with national and international customers of different sizes, from small consultancy firms to global corporations.