Banking and credit cards have been around for a long time. ATMs, for example, were previously among the cutting-edge technologies of Fintech innovation, much as technology for authenticating your signature were originally employed by banks in the 1860s. In recent years, fintech has evolved from being identified with startups to being a key component of established and legacy financial institutions.
As a result, the world’s most well-known organisations now have their own fintech nest fund. In 2019, JP Morgan invested $25 million in fintech companies. Capital One has opened fintech-infused “banking cafés” to attract youthful, technologically aware clients.. In addition, Citi introduced the Citi Developer Hub in 2016 to enable third-party programmers to test and provide feedback on application programming interfaces (APIs).Since the 1990s, credit and debit cards have similarly changed the payment sector by making it simple to withdraw cash.
Fintech companies collect massive amounts of data via their websites, applications, social networks, and sensors; analysing it is becoming increasingly difficult. It might be difficult to confront, obscure, and rather evaluate data without the assistance of big data. In general, there are three elements of big data applications in the Fintech and card sectors.
- Analytics for customers
- Predictive modelling
- Analytical processing in real time
The need for big data analytics in Fintech applications is growing on a daily basis, driven by current difficulties. Big data has transformed value creation activities and standards in the financial services industry. To increase client loyalty and outperform competition, providers seek to innovate and improve their tools, services, and centres of excellence.
The value of big data is anticipated to increase in tandem with the growth of the Internet of Things (IoT), evolving mobile usage and technology, and more improved authentication mechanisms.
Here, we outline the most essential features of big data as they relate to the development of a Fintech solution.
1.Customers are not being connected to on a personal level-Users want to be able to resolve their concerns without having to visit a bank office, yet gathering client information is difficult. Mobile gadgets can be useful. They let companies to gather many sorts of data, such as geolocation, user interactions, user behaviour, and browser history. This information may then be utilised to compensate for the loss of face-to-face connection with clients.
2.Fintech’s Ascension on Social Media- Users build relationships with companies on social networks, and it is no more only a platform for connecting with friends and family. It is critical for FinTech firms to study customer behaviour on social media to get insights and apply them when selling products or services.Insurers, for example, might provide specific plans based on information obtained from social media, and banks/financial institutions can utilise social media data to calculate credit ratings.
3. Customer Expectations Are Changing-Customers want firms to go above and beyond. This is impossible without consumer feedback. To deliver tailored offers to clients, a FinTech company needs collect data from several channels such as their mobile app, website, social media, and smart devices.
4.Increasing Data Volumes- According to some predictions, the average individual will create 1.7 gigabytes of data every second in 2020. This equates to 2.5 quintillion bytes each day for all internet users. FinTech firms are suffering as a result of current trends that employ IoT, artificial intelligence, social media, and mobile technologies to acquire enormous amounts of data.
5.High Levels of Competition in the Sector- The FinTech sector is expanding at an exponential rate, drawing an increasing number of entrepreneurs, startups, and existing enterprises. The ability of a FinTech product to deliver a service is critical to success in this competitive industry. Big data enables businesses to optimise their operations in real time and provide the finest services to their consumers.
The FinTech sector is expanding at an exponential rate, drawing an increasing number of entrepreneurs, startups, and existing enterprises. The ability of a FinTech product to deliver a service is critical to success in this competitive industry. Big data enables businesses to optimise their operations in real time and provide the finest services to their consumers.
It is not simply accurate data that assists firms in determining their future moves. Big data platforms enable organisations to analyse information, summarise it, and draw useful insights using banking and financial services analytics. This gives businesses a bird’s-eye view of their operations and clientele, allowing them to make better strategic decisions.