How Do We Extract Solutions of Unmet Needs from the Vast Sea of Big Data?

摘要

Thanks to the expansion of ICT technologies and growing databases, we are now allowed easy access to much more valuable information and can easily utilize it to suit ones needs. But all the information is from the past, is primary, and in an unstructured format which is like only having the basic ingredients before baking a cake. And to precisely satisfy unmet needs, we have to choose the appropriate cooking method. After over 9 years of using an original predictive analytics methods using Big Data, VALUENEX continues to provide solutions for R&D and business strategies, and other types of user specified fields or subjects to find the way of the future up to 20 years from now. The feature of this method appears as white space on the Radar Map through visualized data of up to 100,000 text documents. White space on the radar is a form of intangible contents. Analysis around white space shows us the future scene and solutions for unmet needs. Grasping gravity trends, measuring density, and extracting amounts of characteristics of any groups with precision on our plotting radar tells us the objective truth. We call this method "panoramic view analytics for prediction." By using panoramic view analytics, you may find alternative solutions from an unexpected group on the radar when you expand your target scope beyond the field you are familiar with. Thus, we show the effectiveness of panoramic view analysis by saving time and providing solutions for unmet needs according to use case studies in the health care technological fields.