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Empower your data platform with semantics

Datavid Rover's semantic layer transforms your data into knowledge, extracting and indexing hidden information.

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Helping world-class firms make the most of their data

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Your business likely has lots of data spread out across various databases and systems. To make sense of that data without overhauling your entire infrastructure, semantics can help. 

How?   

By passing your data through a pipeline that enriches it with labels and properties relevant to your business, organizing and connecting it in a way that makes sense. This way, you can see patterns and connections, make predictions, and even develop entirely new products. 

Datavid Rover helps you unlock the full potential of your data and tell the story of your customers in a way that you can understand and act on quickly.  

Keep all your data in one place

Datavid Rover helps you integrate data from multiple sources and formats, making it easier to analyze and use.

Uncover entirely new insights

As a semantic data platform, Datavid Rover enables a deeper understanding of your business by analyzing data from multiple sources. 

Collaborate and share knowledge

Datavid's semantic data platform enables better collaboration and knowledge-sharing among teams and departments by providing a common data framework. 

Leverage the power of your data

Having a semantic data platform is crucial for your organization to overcome the challenges of unstructured and disparate data. Datavid Rover provides a framework to organize and understand your data. 

OUR WORK IN YOUR INDUSTRY
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Integrate your data and see the complete picture

Datavid Rover brings data together from various sources, formats, and structures into a single, unified view. This enables you to see the complete picture of your data, which is crucial for gaining insights and making informed decisions. Eliminate data silos and break down barriers between departments or teams, making it easier to collaborate and work towards shared business goals. 

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Get more accurate data analytics

With a semantic data platform, you achieve more accurate data analytics by standardizing and enriching your data with metadata and relationships. This means you have a better understanding of the context and meaning of your data, which improves the accuracy of business insights.  

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Enable easy access to knowledge

A semantic data platform makes data accessible to a wider range of users, regardless of their technical expertise. With Datavid Rover, users can interact with data through intuitive interfaces, making it easier for them to explore and discover insights.

This can lead to better collaboration, knowledge-sharing, and decision-making across your organization. It also helps you reduce the burden on your IT department by enabling self-service data access, freeing up valuable resources for more strategic initiatives.  

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CASE STUDY

Boosting customer satisfaction and revenues

BSI faced the challenge of building a more powerful search system within their Compliance Navigator, allowing for contextual results and increasing customer satisfaction. 

Datavid proposed a solution based on the use of the knowledge graph, built on ontologies, capable of tracing the relationships between concepts and the BSl standards database. The solution included a UI/UX technology upgrade, resulting in greater customer satisfaction and higher revenues. 

The new semantic search functionality shows results for related standards, even when search terms are not precise. Additional features include advanced search, filtering results, and creating templates.   

Read the full case study →

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Working with the consultants at Datavid was a great experience, they always guided us in the right direction and delivered significant value in short span of 3 months.

PRODUCT MANAGER AT BSI

Your questions. Answered.

A semantic data platform is a technology solution that helps organise and manage data in a way that enhances its meaning and context through semantic modelling, making it easier to understand, search, and analyse. It often employs semantic web standards and ontologies to create linked and structured data.

An example of semantic data integration is linking and merging data from various sources, such as databases, websites, and APIs, using a common ontology or data model to provide a unified and coherent view of the information. This enables seamless retrieval and analysis of data with consistent semantics, even when it originates from different places and formats.

Platforms that are semantic layer-based include business intelligence and data analytics tools like Tableau, Power BI, and QlikView. These platforms use a semantic layer to abstract and simplify the underlying data, making it more accessible to non-technical users for querying and reporting.

Take your organization's data practices to new heights

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