Examples of Big Data Implementation – Talking about today’s technology is indeed endless. Those of you who frequently follow updates about technology must be familiar with Big Data.

Big Data is a new breakthrough in processing, storage and analysis technology originating from various sources with large numbers and sizes. Currently the implementation of Big Data already exists in various lines of business.

Big Data is not only concerned with the amount of data, but the data is also analyzed to be able to assist in making decisions and strategies in business so that they don’t become wrong.

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Examples of Big Data Implementation

If previously discussed the application of Big Data in the startup business, this opportunity will discuss the application of Big Data in other fields. Big Data is not only useful or used in business but is also widely used in other fields.

Check out some interesting examples of Big Data implementation for you to see below:

1. Tax

The first example of implementing Big Data is in the tax sector. Big Data can increase state tax revenue. Public awareness of taxpayers is still lacking. This makes the tax directorate general unable to meet the target as expected.

By implementing and implementing Big Data, the Directorate General of Taxes is able to retrieve data from the family tree and then be able to find out what items are owned.

Other data that can be retrieved by Big Data is the amount of wealth owned, bank account accounts and also types of taxes that have not been or have been paid, all of which will be displayed one.

It will be easy for the Directorate General to check whether taxes have been paid or not.

2. Health Sector

The next application of Big Data in the health sector. Each clinic, health center or hospital uses different software for patient registration. This makes the data sent to the Health Office also differ depending on the type of software used.

With the implementation of Big Data, all health information can be centralized so that it is easily processed and also analyzed to find out what the health of the population in Indonesia is like.

3. Agriculture

Indonesia is an agrarian country, this is shown by the vast agricultural land. Big Data is also useful in agriculture so that with Big Data it is hoped that the standard of living of farmers will increase.

In the field of agriculture, they will conduct research on agricultural land by taking photos related to soil quality, weather, plant height growth and so on.

Later the data will be entered into Big Data and analyzed. The results of the analysis will be used to assist farmers in increasing their productivity.

4. Transportation

Big Data is also applied in the field of transportation. Congestion has become an integral part of Indonesia’s big cities. With the GPS data owned by city residents’ vehicles, it can be converted into speed, acceleration and stop duration.

In addition, other conversions are also carried out. This conversion data can be used to provide recommendations when it is best to drive and when it is bad to travel to the public.

Big Data is a sophisticated technology that is currently utilized in various aspects. Most Big Data is applied to business to help businesses move faster than competitors.

Big Data applied in business can help your business make decisions more quickly and accurately. This technology can provide precise real time analytics so that your business will appear more confident.

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