OREANDA-NEWS. August 22, 2012. Fujitsu Laboratories Limited today announced the development of the industry's first technology that, through the use of analysis scenario templates developed by data analysts, can make recommendations about and the applicability of templates and possible usage combinations of additional data based on the content and attributes of data to be analyzed.

In recent years, anticipation has been mounting for applications in which big data is analyzed using machine learning, mining and other technologies, and then these analysis results are leveraged as part of the business and management decision-making processes of companies. In line with this trend, there has been rapid progress in the development of platforms, technologies and tools for collecting, storing and analyzing data. At the same time, driving the utilization of big data requires personnel that are knowledgeable about statistical- and mining-related analysis, while also possessing business knowledge about specific vertical industries and work processes. Training and securing this kind of personnel has become a significant challenge industry-wide.

With Fujitsu Laboratories' newly developed analysis template recommendation feature, users can save and reuse analysis templates containing analysis scenarios developed by data analysts. These analysis scenarios provide guidelines about what kinds of data can be used in combination and the best ways to interpret and apply analysis results. Because the technology can make recommendations, based on the content and attributes of the data, about applicable analysis templates and additional data that might be helpful, users can leverage saved analysis templates to enable them to easily perform analysis and forecasting, even without any advanced knowledge or know-how.

This technology is scheduled to be rolled out as part of Fujitsu Limited's Interstage Business Analytics Modeling Server, a middleware package for building analytics solutions.