Technology

Big Data in Indonesia: 3 Sectors That Stand to Benefit

Big data in Indonesia can help many industries. Here is how tax collection, healthcare and agriculture stand to gain from large-scale data analysis.

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In Indonesia, the term big data may not come up often. Big data refers to technology built around very large collections of data that are then analyzed to produce information. Many industries can benefit from it. Which ones? Read on.

Sectors in Indonesia That Will Benefit From Big Data

  1. Taxation

The first sector to benefit from big data is taxation. Awareness of paying taxes among Indonesians is still fairly low, so the Directorate General of Taxes often misses its revenue target each year.

Big data can help lift tax revenue every year. It can compile a list of assets for each type of tax paid, which helps optimize state revenue from taxes.

  1. Healthcare

Big data in Indonesia also has an important role in healthcare. Health services in Indonesia are still not integrated from one system to the next, because different software is used to record patient data.

Applying big data in healthcare would make it easy to integrate different kinds of patient data. On top of that, information on all residents of Indonesia would be centralized. This would make it easier to predict diseases and gauge the health level of the Indonesian population.

  1. Agriculture

Indonesia is an agrarian country, so big data can help farmers and other agricultural workers improve their performance. A range of soil data would be easy to access and integrated.

With big data in Indonesia, data on soil moisture, soil conditions, planting and more, collected over a given period, becomes a large dataset. Farmers can then analyze it with ease. It can even serve as a reference and a prediction of the right time to start planting.

Those are some of the sectors in Indonesia that can start using big data. An integrated system like this makes it easier to search for all kinds of data. In addition, data from any period and of any type can be gathered in one place, so you can look up data across time with ease.