Big Data is a disruptive technology. It is changing major industries from the inside. In the next posts, we will learn how Big Data changes different industries.

Today’s focus: Big Data in Finance.

The finance sector heavily benefits from Big Data analytics. First, there is banking. Banks have large amounts of data on transactions that have to be processed every day. This data needs to be checked for fraud. Real-time analytics such as Apache Storm play a vital role in that process. To improve the security and detect fraud before it can happen largely decreases financial loss for them. But not only banks adapt Big Data for that: credit card companies such as Visa or MasterCard also apply these techniques in order to prevent fraud. A sample is when you travel: imagine you travel from New York to London. You didn’t pay anything during the trip with your credit card nor did you pay the travel itself with your credit card. Once in London, you get a coffee at the airport, but your credit card is rejected (or at least, authorization is required). In case you paid the trip with your credit card, the credit card company knows that you will be in London and can accept the payment.

Insurance companies face a similar problem with financial fraud. By analyzing data, the validity of a claim can be checked. Insurance companies can also lower their risk by analyzing data (and thus increase our bill)

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  1. […] In the first post I started with manufacturing. This traditional industry sees major benefits from Big Data, especially with Industry 4.0. You can read the full post here. Big Data is already used heavily by another industry – the finance sector. Major banks, insurances and financial service providers use Big Data. I outlined the possibilities in this post. […]

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