Disruptive Analytics Trends For 2019
Data. It’s how we are able to assess the state of things, whether it’s in scientific research, website metrics, or even simply as a point of reference we can use to be able to quantify the performance of a particular individual. The quality of our existence has always been defined by how well we are able to make sense of our situation.
That is how important analytics are.
Now, as most of you probably already know, the realm of technology is one that is constantly evolving. One might even say that it has come to a point that it may very well have a life of its own. The rate at which trends come and go is indicative of this idea, especially when we see that each year brings with it its own set of surprises.
So, with that said, what are the analytics trends that you need to keep an eye out for in 2019?
Cloud analytics refers to the use of a cloud-enabled service that allows companies and businesses to conduct analysis and other data management services. It functions the same way that conventional analytics would, except it works via the cloud. While it is generally considered to be SaaS (Software as a Service), cloud analytics doesn’t only provide the infrastructure needed to house the data they collect, they also allow users to retrieve the data when and where they need it. This would work incredibly well in tracking the results from these link building tactics.
Machine Learning in its Infancy
Despite the worry that we could be making the technology that’s going to replace many of our professionals, many companies are still banking on the development of machine learning technology. While it’s true that data scientists are capable enough as they are, the painful truth is that they simply do not have the capacity to keep up with the ever-increasing demand for data processing. Artificial intelligence has the capacity to do what we cannot, and that’s to scour through heaps of data rapidly.
This is valuable to businesses because the quicker you’re able to process data, the quicker you’re going to get an accurate assessment of whatever you’re trying to analyze. This also means that you’re going to be able to respond quicker to market changes.
Sometimes, the problem with presenting data is that it can be tedious to organize it into visuals that make sense. Remember that not everyone is well-versed in understanding data, even when it’s already translated. This is an offshoot from artificial intelligence, but it deserves its own mention because of how it can expedite processes exponentially. Imagine having to only collect and analyze data, and let the AI process and present workable business options in mere seconds.
Data analysis seems to be in a really lively place, especially when you consider the fact that its application is not limited to just the business setting. Analytics has many applications across various fields. It’s for this reason that knowing what the trends are holds a lot of importance. If you’re able to understand how these innovations work before your competition does, you’re going to have a major advantage.