Data analytics is the future of everything because it is everywhere. Every organization can use data to analyze and predict almost everything they need to meet the goals they have in mind. Data-driven decisions can lead to higher ROI, create new revenue streams, and even help save the planet.
Why is data analytics the future?
Data analytics is expected to radically change the way we live and do business in the future. Already today we use the analytics in our technology devices, for many decisions in our lives. Expectations are that data analytics will make the impossible possible, but we are still in the early stages of the data era.
Does data analysis have a future?
In 2018 the World Economic Forum published its predictions for the future workforce through 2022. In it, the WEF identified that by 2022, 85% of companies will have adopted big data and analytics technologies. As a result, the “new role” of Data Analyst is forecast to be one of the most in-demand jobs by 2022.
According to one McKinsey report focused on the healthcare industry, “data analytics and information services will have the fastest growth rate at 16% to 18% over the next five years, while core administrative services are unlikely to see much growth due to automation.” Here’s what you need to know as you plan your
Why is data analytics so important?
Why Is Data Analytics Important? Data analytics is important because it helps businesses optimize their performances. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better—products and services
Why data analysis will become more important in the future?
Data analysis will become more automated as the amount of data continues to grow. Not every data that comes in is useful for businesses. So, they have to extract the useful ones, spending a lot of time and resources. Data analysis automation will eliminate this step and screen the useful data to be analyzed.
Why Big Data is the future?
Future of Big Data Big Data is commonly associated with other buzzwords like Machine Learning, Data Science, AI, Deep Learning, etc. Since these fields require data, Big data will continue to play a huge role in improving the current models we have now and allow for advancements in research.