In the past couple of years, data has been the most impactful, valuable asset within tech-focused businesses. It’s important to understand the fact that the usage of data heavily and quickly changed in the past couple of years, with new tools, new ways to monitor users’ behaviour and much more. Shall businesses approach data science, data storage and data processing, then? Let’s find out.
What’s “Data” In 2020?
As said above, data has heavily changed in the past couple of years. Data in 2020 is far different than data in 2019, for example: last year, data science was mainly focused around bit data and automatically processed numerical variables within Python tools, but now it can simply revolve around the analysis of static forms of data i.e. server files. The figure of the so-called “data scientist” has, in fact, drastically changed, from simply being a “python developer” to a more “analyst”-oriented position, opening its realms to the ones with deep knowledge of analytical tools (like Google Analytics, for example) and to the application of automated, Python-coded features within such tools. Data in 2020 is a very broad subject which is very likely to grow even further as the year goes …