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FactEngine solves 5 business problems when considering a knowledge graph for your organisation. FactEngine lets you:
1. Semantic View over your Semantic Layer:
View business rules and your data model in natural...A Semantic View is much more than a Semantic Layer. Read about it [here];
2. Empowered Stakeholders:
Natural language enterprise modelling in business language is known to empower stakeholders and streamline communication.
Your data lake becomes a semantic knowledge graph;
3. Poly-modelling:
Business Rules & Enterprise Model how you want to see it...as a semantic model, object-role/fact-based model, knowledge graph or relational model;
4. Data/Business Vault from the enterprise model:
Generate programming code and/or Database Definition Language (DDL) from your conceptual model;
5. Multi-database access:
Work with multiple data lakes/databases that comprise your knowledge graph. Minimise the number of databases you work with;
6. Natural language semantic graph queries.
Work with multiple query languages;
Business Language - Business Rules & Semantic Queries
Engage with your data your way. Manage your Enterprise Model and choose between querying your data store in natural language, FactEngine's business language queries or your data store's native query language to find the data you need quickly or easily. Perform graph analytics over any database catered for by FactEngine. Read More
Exploit Fact-Based Modeling's natural language constructs to make your database/warehouse/lake easy to query.
Semantic Modelling & Document Lineage
Take your business intelligence to a new level with knowledge engineering coupled with Document Lineage. Communicate your enterprise model in natural business language.
Lead the pack with the Boston conceptual modelling software and win with your stakeholders.
Use Object-Role Modeling to verbalise your enterprise model.
We work closely with our clients to assist in creating and maintaining world-class enterprise models.
You already have a team of dedicated knowledge engineers. Leverage our experience in Fact-Based Modelling to incorporate industry leading semantic knowledge gathering to your enterprise.
Query any database with natural language graph queries or your native database language* with FactEngine. Your knowledge graph...your way.
Keep your existing databases and use FactEngine's unique knowledge graph technology to query them as if they were a graph database. FactEngine is in beta release now.
Perform business language queries over your database with FactEngine's Knowledge Language. Natural language queries are graph queries. Write graph queries over your database Read More
Natural Language Queries over your Knowledge Graph
View your database as a graph or relational database with FactEngine's unique multi-model conceptual modelling. The choice is yours. Minimise overhead by minimising the number of databases that you need to work with. Leverage existing technology in your current architecture. Generate data definition script for your database from inside Boston, then use FactEngine to query your database.
Read more about FactEngine.
FactEngine is in beta release. Contact FactEngine for a demonstration.
* FactEngine uses one query language and an adaptor is required for each database type.
Capture your enterprise model in natural business language using Object-Role Modeling and generate business glossaries in natural language.
Boston Enterprise is custom made for collaborative modelling in teams.
