Unimrkt Healthcare assists its clients with host of research support services like survey programming, survey data processing and analysis, open end coding, presentation and report writing. In an endeavor to assist our clients, so that they can focus on more strategic and urgent work commitments or when their staff are just at capacity and overflow assistance is needed or prefers to outsource some of the services, we are there to help!
Our Research Support Service team carefully reviews, prepares and delivers your data with accuracy and precision.
Our survey programming and hosting team assists clients with online and CATI surveys and research tools to gain data advantage in the marketplace. We offer programming for a number of leading platforms and can program anything from simple screeners to complex conjoints.
Our data processing and tabulation services use the best-in-classtools and techniques to process, clean, manage and tabulate data. We have familiarity in processing data collected from various methodologies - web surveys, telephonic and face-to-face interviews. Our teams have capabilities in open end coding and we assign numeric codes to various words, phrases, ideas or concepts in text, so that the information and meaning in the text can be extracted and analyzed quantitatively. Open-ended questions in surveys generate strings of verbatim text that must be coded and analyzed. These include.
We are adept at providing the outputs of data analysis in any of the forms as per the client expectations: Tables, Coding, Data export SAS, SPSS, etc., Custom reports based on multiple data analysis methods:
We translate statistical analyses into clear, easily understood graphical presentations for the clients in market research industry. Several statistical tests and multivariate statistical procedures may be employed as needed during the course of analysis including cluster analysis, inter-dependence analyses such as correspondence analysis, breakouts of the data and dependence methods such as correlations and multiple regressions as applicable to explore such things as drivers of attributes, preferred channel, choice of pharmacy etc.