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This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis.
Data analysis is a type of knowledgediscovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. At the same time, it also advocates visual exploratory analysis.
This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis.
It is a process of using knowledgediscovery tools to mine previously unknown and potentially useful knowledge. It is an active method of automatic discovery. Data Visualization. Data visualization can reflect business operations intuitively. DASHBOARD REPORTING (by FineReport).
This post looks at a specific clinical trial scoping example, powered by a knowledge graph that we have built for the EU funded project FROCKG , where both Ontotext and metaphacts are partners. Visual Ontology Modeling With metaphactory. Let’s first have a look at the knowledge graph management capabilities provided by metaphactory.
It is an enterprise ready platform supporting LDAP integration, multi factor authentication and performance monitoring dashboards. With its cloud-agnostic infrastructure, Ontotext Platform can operate in cloud and on-premise environments. Maximize the usability of your data. Make it easy to maintain and evolve your data fabric.
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