Have you ever know how much data is being created in our daily life? Every day we create 2.5 quintillion bytes of data and of course all this data has to be stored somewhere.  Many of us are active in various social networks in spite of our busy life.

Can you guess how many tweets are made every minute or number of posts on Facebook or how many likes is made on Instagram?  In most active social network Facebook 6 Billion posts are liked by users every day. Instagram users click like on 2.5 Million posts every minute. Google searches made each minute around the world are nearly 4 Million.

YouTube users upload 400 hours of new videos each minute of a day. Nearly 205 billion emails are sent each day. People generally opt digital storage as it affordable convenient way and they don’t need worry to delete anything.  Nearly 90% of the world data has been created in the last two years itself.

The data which is being created increases day by day. Here is Big Data analytics and data analytics comes in. Big data deals with large volume of structured and unstructured data where traditional data processing techniques are not enough to deal with them.

Big Data analytics help organizations to utilize their data to identify new ways to make smart business moves. These efficient operations yield in high profits and customer satisfaction. Big Data analytics is used in various industries like financial services, healthcare, retail, communication so on.

Data Analytics:

Data analytics is the process of collecting the data, identifying the relevant information from it about particular product and assembling the data. The data redundancy should be performed to eliminate the duplicate data and check for data consistency. The data analytics can be split into qualitative data analytics and quantitative data analytics. Quantitative data analytics is to analyze the numerical data through certain variables that can be measured statistically. Coming to the qualitative data analytics, it deals with the non-numerical data like text , video, audio and images.

Big data in Healthcare:

Big Data has brought many changes in this field. Big Data analytics in healthcare field provides deeper understanding from large volume of data sets and improves outcomes by reducing costs. It helps to avoid preventable diseases and improves quality of human life. Electronic health records are created to store patient medical information. Each patient has his own digital record where medical history, laboratory tests, results every will be stored. These records are shared securely, so that doctors can provide treatment accordingly. Big data provides earlier identification of patient’s disease and help to take preventive measures.

Banking sector:

Banking industry is one of the industries which create more data in its daily process. Security of its customer’s details is the main criteria of this sector. Many transactions like withdrawal, deposits, credit and debit card are going on in banks everyday, which is very difficult to store data in a secured way. Big data simplifies all these tasks. When account number or name is entered into the system, it searches through and displays the relevant data. It designs the work process of the banks by saving both time and costs. It also allows the banking sector to track the loan, credit and debit card details in order to make sure they cross the credit limits.

Internet of Things:

As we all know see Internet of Things is one of the buzz words in the recent years. It is a collection of smart devices with sensors embedded in it. Data which is generated from these sensors is sent to the system for processing and again transmitted back to the particular devices to perform the action. This results in creating the large volumes of data. All the data that is transmitted is not important, so here data analytics is needed to analyze and filter the data collected.

With the development of the security standards of the entire banking sector, fraud detection and prevention is possible .Faster and better decision making is possible with the help of the data analytics to enhance the business.

To develop or expand a business is not such an easy task. Lot of analysis has to be done on the markets trends and the customer behavior.Finally appropriate data to be driven from the data collected through the survey.The data analytics helps to the decision support system of the industry. It delivers quick and valued results.

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Latha