Over the years, many people have used the terms analysis and analytics interchangeably. However, analysis != analytics. Here are the reasons why.

Analysis refers to the process of breaking down large past data into smaller pieces to review. We find out why things happened in the past and how did those happened.

However, Analytics refers to the process of predicting future events by looking at the available data pattern through formulas and algorithms.

The main difference between analysis and analytics is how the data is been used; for past justifications or future evaluations.

Both analysis and analytics can be qualitative and quantitative.

Here is an example of Quantitative Analysis. Using past sales records, a bar owner can perform Quantitative Analysis to find out the sales increase ($$) in the previous year (uptrend). Using Qualitative Analysis, he can identify how and why sales increased. E.g. increased in social media marketing budget.

Using the same example, based on his experience and by talking to the customers over a period of time, the bar owner can use Qualitative Analytics to find out the types of drinks customers would like in the upcoming year. However, he might not know how many bottles and types of liquor to order from the supplier. Thus, by using Quantitative Analytics of the past year sales records and probably generating some algorithms, he could order the future stocks accurately.

In conclusion, remember that: Business Analysis != Business Analytics && Data Analysis != Data Analytics