Difference between Data Analysis and Data Analytics

We get mostly confused over these two terms and believe people mostly use anyone of these very confidently without understanding major difference.

Both terms means a crunching data . . .doing research over data . .  .making sense of data . . . . .putting your head down in data and finally come out with a result/ decision/ visualization based on hard work done.

But major difference is Analysis is for past data and Analytics is for predictions. For example:

a) Creating a Line Chart out of data analysis and with slope of line, understanding how was the pace of business.

a’) Creating a Line Chart our of data analytics and with slope of line, predicting upcoming pace of business.

b) Imagine websites showing data analysis on raising and dropping of share markets stocks.

b’) Similarly imagine experts showing data analytics on raising and dropping of share markets stocks future for viewers to decide better.

Analytics is not something of a rocket science. It is simple if we use simple techniques like statistics, math, qualitative analysis.

 

So People in the field of Data Analysis and Data Analytics are different, might use different tools, may earn different money.

So be along with this Data Science journey. More clarification and learning topics are on the way.