The Maana Computational Knowledge Graph
The Knowledge Layer that Powers Enterprise-Wide Decisions

The core of the Maana Knowledge Platform™ is the patented Maana Knowledge Graph™. Unlike traditional “semantic” systems, the Knowledge Graph does not rely exclusively on ontologies and description logics. Instead, the Knowledge Graph separates the structure of data from the content itself. This separation provides a fluidity of modeling, allowing data from any source and of any format to be seamlessly integrated, modeled, searched, analyzed, operationalized and re-purposed.

Each resulting model is a unique combination of three key ingredients – subject matter expertise, relevant data from silos, and the right algorithm – all of which are instrumental in optimizing assets and decision flows.

The first knowledge graph of its kind, the Maana Knowledge Graph™ is also dynamic, which means that it can represent both data and computational models. Users can perform complex transformations and calculations at interactive speeds – making it a game-changing technology for agile development of knowledge applications.

The Enterprise Knowledge Approach

Maana’s knowledge platform goes beyond the data-centric concept and into the world of knowledge. Maana extracts knowledge from data silos, information inputs from business domains, as well as the understanding of processes to illustrate how they interconnect as a whole. This provides a holistic view of the assets or processes enterprises want to optimize.

Data lakes and knowledge graph

Over time, the enterprise knowledge graph grows and becomes a key information asset, capturing the complex relations and dynamics between the business and its core assets.

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Maana’s Differentiation White Paper

How Maana’s Knowledge Platform Helps Fortune 500 Companies Accelerate Digital Transformation

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Maana Knowledge Platform
Solution Brief

Increasing Enterprise Profitability

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