The modern analyst’s relationship today is with data. Today’s most popular tools allow analysts and data scientists to play in a sandbox of data, but the explosion of data renders old tools and methodologies slow and difficult to use. In spite of this, the industry’s focus is on making those same tools perform the same operations, but faster. More powerful processors and faster memory execute queries faster, but hardware is no longer the bottleneck in data. Instead of treating big data like small data, analysts must soon begin to leverage automation to understand the patterns that define the data.