The usage of data and data as a whole have become priorities from both a financial perspective and, ultimately, from a development-related one. Big data has gone through a massive scandal last year, with what happened at Cambridge Analytica. The infamous buying and selling process from the British company of Facebook’s data points has been the starting point which has brought big data for marketing into the daylight, let’s analyse what happened afterwards.
Why Big Data?
Big data is normally the association of numerical values to a keyword, particular user behaviour and everything in between. With this clarified, it’s quite easy to understand why such technology could have a big impact on (almost) any form of digital marketing: imagine having the direct output of what many audience tools and keyword research applications are merely speculating. This could save a company who’s spending millions of dollars in ads as many millions, which is the main reason why this technology is very valued.
The Market Value
Currently, using data points for marketing purposes has lifted from being a merely theoretical matter to becoming the actual biggest marketing strategy, especially when it comes to mobile ads or any form of paid social traffic, really. Some app developers have stated how clients who run retargeting ads have been heavily looking into Python-based features to, in fact, run big data-related features within their pieces of software. As said above, the usage of big data for marketing purposes currently fluctuates in the region of a billion dollars.
After GDPR has been implemented, there have been dozens, if not hundreds of companies which hired data-science focused professionals to implement and run big data marketing within their infrastructures. Enterprises like Amazon, Santander and Facebook (of course) have all been heavily relying on Python developers to build tools which could automatically process this data in order to personalize a web page, an audience or anything similar.
It’s very easy to say that data, in general, is the most powerful asset in the world. In 2020, being able to quickly, thoroughly and perfectly process big data will be the future of every business.