Big Data Proves Christopher Marlowe Co-Wrote Shakespeare Plays

Big data has transformed analytics, and the information gleaned from historical documents is more accurate and trustworthy than ever before.
Oxford University Press ran the works of Shakespeare through a program that looks at the proximity and repetition of words in the text, using modern textual analysis tools in order to conclude that Shakespeare did not write Henry VI alone.
There has long been speculation that he is not the sole author and finally there is enough substantial proof “to put the name actually on the title page,” says Gary Taylor, the volume’s general editor. “That kind of Big Data was never available until very recently,” he said.
Contemporary, rival and now official co-author Christopher Marlowe seems to have penned the majority of Henry VI, Part 1. While Shakespeare has been attributed to most of Part 3, dispute remains over the prevailing playwright on Part 2.

Big data applications

Big data is not only used to unearth what’s been buried in the past but also to find what hides among us now. Big data feeds conspiracy theories trying to ascertain the true identity of Satoshi Nakamoto, founder of the bitcoin protocol. Many are using big data to play detective, searching for linguistic clues in online writings.

An emerging market

The news places big data developments in a current cultural context but the industry has been expanding for a while. Investors should note that this is a big arena and the message to take away is that of an emerging market with massive growth potential, so this is the opportune time to invest. Statistics from market research firm IDC predict “revenue from the sales of big data and business analytics applications, tools, and services will increase more than 50%, from nearly $122 billion in 2015 to more than $187 billion in 2019.” Multiple verticals are reaping rewards. “Breaking it down by industry, IDC said the largest revenue opportunities are in manufacturing and banking – with discrete manufacturing forecast to reach $22.8 billion in 2019, banking predicted to reach $22.1 billion in 2019, and process manufacturing expected to reach $16.4 billion in 2019.”
With huge opportunities in the horizon, investors should take note of big data companies such as the ones below that are active in the space: