Saturday, December 08, 2012
Sherlock Holmes - Big Data analyst
It has been recognized that the reason why Sherlock Holmes was so effective was that he observed and remembered everything. As such, he had access to an enormous data base. However, memory and observation alone are not enough. His strength was that he could access the data and put together apparently unconnected strands to create solutions. This was far from the concept of data mining. He had no idea of what he was looking for and no preconceptions of what he would find. He used patterns to identify those that were anomalies. This is the principle by which the future generation of Big Data analysis, such as Synerscope, will work. Pour in vast amounts of data, and simply by observing unusual or unexpected patterns, the user, not someone with an advanced degree in data analysis, can draw conclusions fast and easily.