Q3 Technologies: Developing Web Based Tools

Developing a Web Based Graphical Tool for Unstructured Data Analysis:

Q3 Technologies, Gurgaon, India developed a web based graphical tool for unstructured data analysis, which could represent results of the analysis generated by the proprietary and very powerful text mining algorithms in the form of impressive and easily understandable static and dynamic graphs.

Business Situation:

Client had a desktop version for its discovery and analysis tool for unstructured data analysis and wanted to develop an interactive Web 2.0 application which could represent results of the analysis generated by the proprietary and very powerful text mining algorithms in the form of impressive and easily understandable static and dynamic graphs. Static graph is a graph of edges and nodes where each node represents the actor of the analysis and edges represents the relation between different actors. Length of the edge represents how closely the actors are connected. Dynamic graphs are a set of static graphs where information is displayed for different time spans i.e. user can know the time span during which actors were really active. As per the requirement, user should be able to drag the nodes and edges of the graphs across the panel. User should be able to process multiple datasets simultaneously. Multiple users and simultaneous analysis of datasets requires enhanced computational processing power and physical memory.

Solution:

• Q3 Tech architects and engineers interacted with the client to understand the requirements and provide a design approach that was implementable.
• A highly interactive Web 2.0 application was delivered as per the client’s requirements. This allowed the user to view and manipulate the static and dynamic graphs to understand the trends in the unstructured data content.
• A highly interactive Web 2.0 application was delivered as per the client’s requirements. This allowed the user to view and manipulate the static and dynamic graphs to understand the trends in the unstructured data content.
• One of the key objectives achieved was the analysis and integration of Client’s proprietary algorithms for data processing.
• The solution was a highly optimized application that was able to handle multiple users and simultaneous processing of large datasets.

Q3 Technologies deployed the application for the client on their hosting environment and worked closely with the client for a successful conclusion of the User Acceptance Testing (UAT) phase.