4 Examples of Big Data Implementation and How It Works in Business

Big data is one of the new breakthroughs in technology for processing, storing, and analyzing large amounts of data originating from various sources. Analysis of this big data can be taken to obtain the results of decision-making and business strategies that are qualified. More specifically, the following is an example of implementing big data.

Examples of Big Data Applications

1. Big Data in Taxes

Please note that the use of big data can be used to increase state tax revenues. This happens because the big data system can work to retrieve data from the type of family tree, wealth owned, what goods are owned, as well as public bank accounts.
Big data can also list the types of taxes that have been or have not been paid by individuals by displaying them as one. So that checking whether the taxpayer has paid or not has become easier. Given that currently the awareness of taxpayers is still lacking in domestic people, so that tax revenues are still not appropriate.

2. Big Data in Banking

Examples of the application of big data can also be seen in the banking sector. Financial institutions in this case will collect and access analytical insights, on large volumes of unstructured data for sound decision making. Because big data analysis allows financial institutions to access the information they need, by eliminating overlapping systems.

3. Retail

Smart shoppers are demanding retailers to be smarter in understanding exactly what they need. This means that customer service has evolved in recent years. With this big data analytics, it will be helpful for retailers to understand each of these needs.
Armed with resource data from customer loyalty programs as well as buying habits and other sources, these retailers will gain an in-depth understanding of customer needs. Not only that, this example of applying big data allows them to predict trends to recommend new products.

4. Agriculture

Indonesia is an agricultural country which is characterized by a large amount of agricultural land. In this case, the application of big data will be useful in the agricultural sector. Where big data can be used to improve the standard of living of farmers, by analyzing the weather, soil quality, plant height growth, and so on.
How Does Big Data Work?

You may still not really understand how big data works in business. Simply put, big data will work to help your business grow with analytics. So first you need to enter various sources into big data which will be processed automatically.

You can see it in the example of implementing big data, where the analysis can later be used for various benefits. So that big data is not in vain, you first need to determine the strategy used, then identify the source of the big data. Access, manage, then store in database for analysis.

From this big data analysis, companies can make the right decisions for business progress. The strategy that is applied from the results of this decision is usually what the company needs, because it has been analyzed in depth from big data. It is not surprising that many business lines have implemented the use of big data.

In practice, the software used by companies to process big data certainly cannot be arbitrary. Because as the name implies, big data has a large number of various sources and requires in-depth analysis. If you need special software to process big data, contact Soltius for more information : https://www.soltius.co.id/solutions-by-products/data-management