What are the differences between Analysis and Processing Big data?

Hi all,

I want to know the differences between analysis and processing big data because I got confused when I read

Big Data

CORBA

Lissa Coffey

Yahoo

The main difference between data analysis and analytics lies in their approach, as analysis looks towards the past while analytics towards the future. That’s the basic difference, let’s dig further to get in-depth knowledge about data analysis vs. analytics and fully understand both approaches and how these are helpful for the businesses.

Other Key Difference

Data analysis is a process involving the collection, manipulation, and examination of data for getting a deep insight. Data analytics is taking the analyzed data and working on it in a meaningful and useful way to make well-versed business decisions.
Data analysis helps design a strong business plan for businesses, using its historical data that tell about what worked, what did not, and what was expected from a product or service.
Data analytics helps businesses in utilizing the potential of the past data and in turn identifying new opportunities that would help them plan future strategies. It helps in business growth by reducing risks, costs, and making the right decisions.

The most important thing to remember is that the accuracy of the analytics is based on the underlying data set. If there are inconsistencies or errors in the dataset, it will result in inefficiencies or outright incorrect analytics.

The primary goal of data analytics is to help individuals or organizations to make informed decisions based on patterns, behaviors, trends, preferences, or any type of meaningful data extracted from a collection of data.

Thanks

@Lissa-Coffey-2

https://voltstudios.ca