Data Visualization started to evolve with tools like Cognos, Crystal Reports, Power BI and now Tableau. In the last decade, these data visualization techniques and tools have prompted scientists to do more mature analytics, leading to the birth of Data Analytics for the common masses. Many techniques started coming up.
Beginning of this decade, we started to hear about Data Science. Interesting things started happening with the maturity of tools like Python, R, Hadoop, Big Data and many more. This is the most powerful transformation period. When every little drop of data is considered precious and industry started investing a lot in storing information in active stores rather than tape drives as of 2 decades ago.