Abstract: Personas are rendered from survey results by receiving survey data; receiving, from a designer, prospective end-user demographic characteristics; identifying a name from a name database based on the prospective end-user demographic characteristics; identifying a picture from a picture database based on the prospective end-user demographic characteristics; generating a persona from the survey data, the persona including the name, the picture, a predefined number of agreed positions and disagreed positions selected from the survey data; and outputting the persona to the designer.

Abstract: Identifying and converting questions into statements is provided via receiving a question; identifying a category of the question; selecting a conversion model based on the category; and converting, by the conversion model, the question, into a textual statement corresponding to the question.

Abstract: A method and system for rapid customer data analysis. The method includes providing at least one processor capable of connecting to a network, connecting the processor to the network and providing a user interface in operable communication with the processor. Additionally, the method includes providing one or more processor-executable instructions to the processor, the one or more processor-executable instructions includes at least one algorithmic process for analyzing data in a manner that allows for descriptive and predictive analysis. Customer behavioral data and at least one Key Performance Indicator are provided to the processor. Analyzing customer behavioral data in view of the provided Key Performance Indicator includes identifying customer behavioral patterns, automatically classifying the behavioral patterns identified into discrete segments and compressing the resulting discrete segments into narrower, unique segments.

Abstract: A method and system for generating demographic information based on a name. The method includes providing at least one processor, connecting the processor to the network, providing a user interface and providing one or more processor-executable instructions to the processor. Additionally the method includes initiating communication of the at least one processor to retrieve information from a plurality of data sources to develop a predictive model. Developing a predictive model includes cleaning the information received from the plurality of data sources into data sets, transforming the information received from the plurality of data sources into a data string and tokenizing the data string. An individual's name is inputted to the processor using the user interface to generate information regarding the individual's name, based on the predictive model. The generated information is an age, a gender and a nationality of the individual associated with the individual name.