The last decade was marked by the invasion of new data sources such as online clickstreams. Cloud-based analytics made low cost acquiring of massive amount of computing power at a short period of time possible. It is now common with the small companies as well. Many companies are using Hadoop-based data lakes to store a large amount of data till it is structured and analyzed. Hive and Python are mostly used for scripting, Spark for streaming data and R for statistics have gained popularity. Analytics has been integrated with the production applications. Thus, Analytic technologies have evolved over the years as more powerful and less expensive. Read more at https://hbr.org/2017/06/how-analytics-has-changed-in-the-last-10-years-and-how-its-stayed-the-same