Data Analytics And Types Of Analytics
                     Data Analytics And Types 
Of Analytics 
ExcelR Solutions
There has been lots of talk about the analysis of data 
lately. The reason is obvious why many great data 
scientists have already predicted there will no stop in the 
generation of data at any cost.  No matter in which way 
you choose to ignore some of the data, there are countless 
sources in the generation of data you cant even ignore how 
hard you try. More than tons of data gets generated every 
single day, only less than 20% of the data are analyzed, 
and more than 80% of the data remain unprocessed. That 
is huge in numbers and practically not possible as of now 
to analyze the rest 80% of data. So data analysts have 
already started ceratin advanced level techniques to make 
their part of analyzation a bit easy and powerful.
The types of data analytics involve three different types of data 
processing techniques which analyzed data simple and easy to 
understand and yet powerful at the same time. The three processes 
involved in this process are Predictive data analysis, descriptive data,  
prescriptive analysis of data. 
Revolution of big data has created enormous opportunities for data 
analysts in various level making the data analysts job profile as the one of 
sexiest job in the 21st century and the reason is due to the sudden spike 
in the demand for data analytics to process all the data using the 
advanced level analytics process and if you see company are ready to pay 
the mouth say annual packages for skilled data analysts who have got 
good experiences and have potential to take the name of the organization 
to the next level ahead of the competitors. 
From the three important processes, descriptive data analysis is all about what 
had happened in the past, it deals with the historical data and compares the 
trends with the current data. Whereas the predictive data analysis deals with 
the futuristic analysis, which simply means what could happen in the future 
taking all the pointers from the present and the past data. In other words, 
finding the data that has a future or predicting the future using the past and 
present data. 
Lastly, the very skillful process known as the prescriptive data analysis which 
states what should be the actions from the upper management seeing the 
data, as well as the predictions. What should a business do to take the 
necessary steps to remain ahead of the competitors, and hat would be their 
next-level strategy to continue this for long term life? There are many such 
questions, where the data analysts have various meetings with the upper 
management and work dedicatedly for the same. A data analyst has to handle 
and work in multiple domains at the same time. 
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