There always has been a bit of a bond between data and music. Even back in the pre-PC days of the 1960s computer scientists played with ways to make mainframes produce musical sounds. Then, performers used early computers -- synthesizers -- to enhance their music. Today, we hear about efforts to have computers create music, even though it usually is bad music.
But there is another bond between music and data. Consider the bumpy road that a startup band goes through to get its music on the air. Now, consider how business approaches big data. Yup, they have something in common, as Matthew Magne outlines in his TED Talk.
Magne, data management product marketer at SAS (sponsor of this site), spoke at a TED event in Wilmington, NC, and he went back to his roots as a musician to share some advice about big data strategies in Transforming Data Professionals into Data Rock Stars.
Standing isolated in the spotlight like all TED speakers, Magne couldn't resist strumming his guitar every now and then. His analogy has data points serving as notes. Musicians transform notes into songs, while data pros transform data into business insight.
But music doesn't improve without musicians gaining experience, learning by failing fast. Plus, better microphones, amplifiers, and other gear certainly help the music sound better. So it is with data. The organization needs comparable tools to help the data strategy evolve and improve.
Hint: We're talking about data and innovation strategies that rely on sandboxes and being able to fail fast, about automating manual tasks, and empowering non-technical data pros. Listen now, and consider what data has in common with music.