Most organizations don’t fail to make the right decisions because the data isn’t there - it nearly always is. The problem is that the data they need is in many cases not easy to use, more specifically:
Do you know where to find the data you’re looking for? Is your data always up-to-date? Are you worried your data is a blurred picture containing hidden gems that you cannot exploit and turn into value?
Do you have to rely on specialists even for apparently simple analyses? Can non-technical people access the data and get the answers they need? Is it difficult to access the relevant data when using Business Intelligence tools?
There might be inconsistencies among the data coming from different sources. Do you know how to resolve them? If resolved, does it give you a coherent picture of the situation? Can you easily query the sources in an integrated way?
We can’t help you to make better business decisions. We’ll help you to generate insights based on your data that you need to make better business decisions.
"ONTOPIC has supported us in several of our projects for public administration and policymakers, providing a very professional and dedicated partnership for semantic modeling and data integration solutions. They are a team of top scientists and intellectually-curious technologists, highly compromised with the social value of data and data-driven solutions. For our company, ONTOPIC has been and will continue to be an indispensable partner".
Bernardo Rondelli, founding partner and strategy director of SIRIS Academic
For their daily business, organisations rely on a variety of low-level data sources (relational Databases, Excel, CSV, JSON, PDF, Text files and so on) with different structures and locations. Data is continuously updated through complex IT systems, user input and third party input. Our solution presents all data in a unified form that can be easily accessed.
This unification is achieved through a Virtual Knowledge Graph, placed on top of your existing data. It links the original data sources to an ontology, which represents your domain knowledge and provides a conceptual view over your data in your own vocabulary. At the same time, data stays in the data sources and remains up-to-date: the Virtual Knowledge Graph is non-intrusive and eliminates the need for setting up complex data transformation pipelines.
Users do not need to be directly exposed to the complexity of low-level data, when accessing it through the sharpening lens of the Virtual Knowledge Graph. Users can query it and our technology takes care of delegating query execution to the right data sources. In this way we empower users to explore all data sources on their own terms. Business intelligence and data analytics tools can be smoothly connected using the Virtual Knowledge Graph as an intermediate layer.