Guided Analytics is a term used to describe a methodology in which humans and machines work together to analyze text data. It generally follows a process in which humans provide input and feedback to machine learning algorithms. This human input can take the form of training data, labels, or constraints. The goal is to help the algorithm learn more effectively and improve its predictions.
Guided Analytics is a powerful tool that can be used in a variety of industries and applications. It is important to understand the different ways it can be used in order to get the most out of it.
Guided Analytics for business users can be applied to a wide range of tasks such as identifying customer sentiment, improving customer service, or detecting fraud. In general, it can be used anytime there is a need to analyze text data.
While Guided Analytics is primarily used in the text analytics industry, the term is also used outside of that industry. For example, in the business intelligence industry, Guided Analytics is sometimes used to describe a type of data visualization that allows users to interact with data to explore and find answers to questions. In this case, the human input is used to guide the analysis, but the machine is doing most of the work.
The term Guided Analytics can also be used to describe a type of software that helps users perform data analysis. This type of software typically includes features such as data visualization, drag-and-drop interface, natural language processing, and predictive analytics. It is designed to make data analysis easier and more accessible for non-technical users.
Predictive and Visual analytics
Guided Analytics is simple a sub-field of predictive and visual analytics. They are different from traditional analytics approaches in that they focus on understanding the why behind the data, not just the what. This is done by incorporating domain knowledge, business rules, and human expertise into the analysis. The result is a more comprehensive understanding of the data that can be used to make better decisions.