Got Data?
Optimized Data Solutions Built for Complexity
At ISSAC, we understand that most data projects begin with messy, disorganized inputs. That’s why we’ve developed a powerful suite of modular tools designed to optimize efficiency from the start. Our Modular Analytics Framework (MAF) provides end-to-end workflow solutions—able to handle legacy systems, live data streams, and everything in between.
At the heart of MAF is our Atomic Graph Database (AGDB), built specifically for “ugly” data—semi-structured, inconsistent, and multi-source information that doesn’t conform to rigid schemas. Instead of forcing data to fit, AGDB flexes with the context and structure required by your organization’s needs.
- Key Capabilities Delivered
Our Analytics Team has implemented complex data solutions for commercial and government customers that have included:
- What Makes AGDB Different
AGDB is built with several Graph Theory based tools that allow users to quickly diagnose possible issues in their data. These issues include:
In some cases we should expect data to be very regularly distributed in a graph structure and clusters or gaps may indicate that there is missing or overlooked data.
The graph structure of the AGDB can be used to highlight potentially erroneous data. This is done by recognizing common structures in the graph and comparing them to similar structures to determine if something might be wrong.
In a typical database duplicate data can be hard to identify. In the AGDB duplicate data is easily identifiable as parallel relationships in a structure. These duplicate relationships can be easily used or ignored when working with the graph.
See Our Data Solutions in Action
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Let’s discuss how the ISSAC MAF (Modular Analytics Framework) can be used to make your data more efficient, your processes streamlined, and your data turned into knowledge.
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