by Angela Guess
A new article comments on the complexity of Big Data and the limited view that many companies still have regarding Big Data’s potential. It states, “More than structured information stored neatly in rows and columns, Big Data actually comes in complex, unstructured formats, everything from web sites, social media and email, to videos, presentations, etc. This is a critical distinction, because, in order to extract valuable business intelligence from Big Data, any organization will need to rely on technologies that enable a scalable, accurate, and powerful analysis of these formats.”
It continues, “On this point, the learning curve for most organizations is quite steep. Not only do they have to start considering unstructured information as part of their business intelligence process, but they also have to learn that extracting insight from unstructured data is a much more complex and qualitative process than traditional business intelligence.”
The writer adds, “While I think all enterprises can agree that unstructured information is important, when it comes down to the practical application of Big Data, everyone seems to revert to social media sentiment analysis. Certainly this approach has value in an overall business intelligence strategy, but I believe it’s overrated compared to other areas that can provide more strategic, big picture value.”
photo credit: Dinohyus Hollandi
Hello,
Just to be clear, I found the photographer’s learning curve chart somewhere on the internet. It’s not mine, but I’ve found it to be very true and so far no one has come forth to complain, so there you go…
Cheers,
Holland’s Terrible Hog.