WHY WE NEED DATA ANALYTICS

The answer to this question can only be given when we have complete knowledge about what data analytics is, what its use is, where it is used and many more things. Big data is the first and foremost use of data analytics. As you can see, by its name, it means a big chunk of data that can be unstructured or structured. To decipher and decode the important aspects of big data has become very important.

Many industries have still been able to get sensible intelligence by big data and it is still a challenge for them. Anyone who wishes to take out information from the data lake needs to have the appropriate tools for it. But the problem is not only extraction it also consists of data curation, searching, sharing, transfer, analysis, storage, information privacy and visualization. If a person becomes capable of achieving high precision and accuracy in analyzing big data, lower input costs and higher profits will become just a mere matter.

Variability:

In summation to the increase in varieties of data and velocities, the flow of data may be different with periodic fluctuations. Something that is now a trend in social media. Event triggered, seasonal and daily data can be very difficult to manage and if it is unstructured data, then it is a lot more challenging.

Complexity:

Nowadays, there are multiple sources from where data can come which can make it even harder to match, link and cleanse and to transfer data across different systems. Whatever the fact may be, it is very important to correlate and connect hierarchies, relationships and a number of data linkages, otherwise data can easily go out of his control.

Data analytics, the term is defined as the steps of examining sets of data in an order to give conclusion on the information it contains. It helps organizations to take more information based business decisions while having in mind all the aspects of data analytics. Data analytics has a sequential process which helps people in devising their business strategies and what loopholes and lapses had happened. Data analyst can consider data analytics to be a tool for them rather than thinking that it is a trouble for them.

Data analytics is really very deep and it can make you start your own business by taking the help of a data analytic. Data analytics has many advanced types such as data mining, which consists of sorting large data to identify patterns, trends and relationships. Then predictive analytics, which helps in knowing a behavior, failure of equipment and many more things. Machine learning, a technique of artificial intelligence, makes use of automated algorithms and go through a set of data more quickly and easily as compared to data scientists which take use of modelling through conventional analytics. There are various applications of data analytics through which any industry can revolutionize. It is used in applying law enforcement.

As there are many opportunities in this field, it is highly recommended to students who are looking for a new course to study. It helps in getting good jobs along with high salaries. Join ExcelR for data analytics certification course.