When it comes to big, informed decisions as digital marketers, big data can be useful information to have access to. But what is big data? Well, big data is a term that is used to describe the exponential growth and availability of structured and unstructured data that can be useful to business, since the more data you have, the more accurate your analysis can become.
As you can guess, the more accurate the analyses, the more confident decision making you can do, and ultimately, the better decision that are made can mean greater efficiencies, reduced cost and reduced risks.
Although having big data seems like a no-brainer, there a number of businesses that don’t utilize it. One of the reasons, according to Matthew Barby, that business don’t use big data is the lack of budget. Since these businesses don’t have the money, they can’t invest in the tools necessary to obtain such data. Although you’d normally think you’d have to invest in some expensive tools to get the data you need, it’s possible to get by without doing that by data scrapping.
One Wikipedia, data scraping is “a technique in which a computer program extracts data from human-readable output coming from another program.”
In his Moz Blog post, Matthew will show us some of the ways we can use scraping to analyse content and show how it can be applied to your content marketing campaigns.
To check it out, follow the link below to find out more about how data scraping and it’s relationship with big data.
Moz Blog: A Content Marketer’s Guide to Data Scraping