As Big Money Pours into Big Data Start-ups, Differentiation Makes All the Difference
Big Data is becoming an even bigger deal. And when things get big, it gets more important to stand out from the crowd.
Just this week, a group of Silicon Valley investment superstars, including Ron Conway and Andreessen Horowitz, announced another fund, Big Data Elite, targeted at Big Data start-ups.
At Write Angle, we’ve done a number of projects for companies in the Big Data realm, including Sumo Logic, Glassbeam and Sensage (now Hexis Cyber Solutions). What’s clear to us is that the term “big data” means different things to different people – which is another way of saying it may mean nothing at all without the proper context. Big Data applications and analysis services run the gamut from information security to customer support to consumer marketing to social media.
As the volume of hype becomes deafening in the Big Data arena, it’s easy for a young company to be grouped together with other perceived players despite having little, if anything, in common with them. Market analysts, journalists and potential customers may not have clue about who does what in which space – or even if the space exists.
Would-be Big Data players must ensure that they differentiate themselves in terms of what market they’re targeting and how they serve that market better than anyone else. If you’re not continuously informing your market about who you are and what makes you worth paying attention to – with constantly refreshed content across your media platforms – competitors who articulate a more compelling story will surely pass you by.