Finding the signal in the noise…
GSI’s Free-form Universal Analytics (FUA), where free-form text is compiled into a ‘universe’ of related text to analyze relationships within and in relation to growing stores of data for decision support and strategic insights. With FUA, our clients do more than simple text based analytics. They find meaningful signals within the noise of text. GSI creates FUA models that are specific to various industry verticals These models and the toolset that uses them may be leveraged for searchable, user-focused measures of performance, attitudes, behaviors, and biases that can be mined for business value. GSI can help your company in several ways:
Consulting
If your company has a single project and no internal analytics staff to evaluate the data, GSI can evaluate the massive volume of your text-based data through FUA, determine the signals and the concepts arising from those signals that are meaningful to you, and present to you the findings and analysis from those signals and concepts. From these results, you can receive valuable and actionable insight from your data.
Interactive Tool Access
If your company has an in-house analytics team, or you have the need for your own tool for providing FUA to your clients, GSI can design an instance of FUA that will fit your target industry and allow you to create your own analytics on-demand. This is particularly useful for companies that need to provide this service to a number of clients.
Application Programming Interface
For users who need occasional use of a general purpose tool, GSI has a number of general-purpose tools, and is in the process of creating application programming interfaces (APIs) for companies, educational facilities, and individuals to take advantage of the power of FUA for their own use.
Example Uses of FUA
- Students can analyze entire textbooks for concepts and signals in a fraction of the time it takes to read, and perform additional analysis on the text for deeper and faster insight.
- Recorded interviews of candidates (with speech-to-text plug-in) can be quickly analyzed and compared to quickly determine the likelihood of success.
- Political speeches can be analyzed to determine if the speech is “on target” with the platform and voters
- Text-based questionnaire responses can be quickly analyzed for patterns and signals in the responses to determine the overall concepts and issues associated with the responses.