The Best Data-Providing Services for Fintech Products
For many industries, data is the key to delivering better services and solutions. This is especially true in the fintech sector, where data is used in every field of application.
With the rise of open banking, many different options became available. For customers, it meant they could now manage their money without leaving home. For companies, it opened up a universe of new possibilities and technology solutions.
If you’ve been thinking about using third-party providers for your fintech project, stick around. Take advantage of the opportunity to learn from the experience of the fintech projects that the Django Stars team has added to its portfolio over the past 15 years. In this article, we’ll dive deeper into the topic of data-providing services for fintechs and the role these services play in the fintech industry.
Why Do We Use Third-Party Data Providers?
Many companies use data collected by another organization because it saves them a lot of time, money and effort, especially when they need a way to easily integrate data into a product architecture.
As a fintech development company, we also use third-party data providers and have discovered that they also offer other benefits. And here they are.
The Benefits of Using Data-Providing Services for Fintech Products
Fintech is gradually replacing traditional banking services and approaches. According to an Epsilon report, most consumers expect personalized services and are ready and willing to provide their personal information so that a company can serve them in the right way.
For a long time, the only way to deliver a personalized experience to customers was to divide them into groups based on geography, genre, age, etc. Now we have access to much more information, such as buying habits or even app-using behavior. It allows businesses to become intimately familiar with their customers and better able to hit the target with their offers and services.
Such personalization requires huge amounts of data that can be acquired more conveniently from third parties, as opposed to gathering the data on your own and developing the required software from scratch.
In addition to creating personalized user experiences, third-party data can be used to segment a customer base for different purposes, such as marketing campaigns or product development. And one size can never fit all.
Especially today, when users have so much choice, the ability to tailor your app’s features to meet personalized meets is a powerful benefit that can lead to significant sales growth. For example, a company can segment consumers by parameters such as their monthly spending and feature requests, and offer services relevant to those customers’ needs.
According to the 2020 Global Identity and Fraud Report, 55 percent of companies are seeing more cases of fraud. This comes as no surprise: more and more transactions are taking place online, so it’s logical that the fraudulent activity will also increase.
By using big data from third parties, you can better understand and analyze your customers’ spending habits and detect unusual activity that should trigger additional security checks.
Risk management is always important, but it’s vital in the financial sector, and especially in the investment sector, where risk managers always try to forecast changes in order to reduce losses and increase gains.
Thanks to big data, predictive decision-making is becoming ever more accurate. It enables you to significantly increase your ability to analyze and prevent potential risks – and third-party services can come handy in this regard. For example, you can analyze patterns in third-party data to identify sound investments and risky bets.
Automated Customer Service
Again, people always have options, so high-quality customer care has become another powerful advantage that retains users. And this is another sphere where fintech data is king.
You can create a chatbot to handle some of your customer service workload, or buy software that helps your managers offer the most beneficial investment strategies. These are only two of many cases where using third-party data can offer benefits in terms of customer service, increased customer satisfaction and income.
The financial industry is highly volatile. Laws and regulations, politics, medicine, new fintech technologies — anything can cause fluctuations or even a worldwide crisis. And this is another case when it’s a good idea to use third-party big data. It allows you to have at your fingertips all the info you need, as well as the ability to analyze it.
The person or company that has more data has a great competitive advantage in the market, because they can always be prepared for events that are about to happen.
By the way, you can also learn more about what gamification ideas for banking services exist and how they help retain users.
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The Best Data-Providing Solutions for Fintechs
In our practice, we often use financial APIs to develop efficient solutions for our clients. Some of them help to know your customers, and some DaaS for fintech products help to verify their credit data without excessive upload of their documents. Others let to transfer property ownership without bureaucracy but still secure. Below, the best financial third-party data providers are listed.
Experian, based in Ireland, is one of the world’s most popular fintech data providers, and we often use its products in our work. It gathers financial information and credit reports about more than a billion people and companies from all over the world.
In addition to the general third-party benefits we listed above, Experian offers its own Developer Portal, which provides easy access to its fintech APIs, relevant API documentation and credentials, as well as test APIs. This makes it very easy for us to use their data for building fintech products.
Experian has three main products: CreditWorks, IdentityWorks, and The 3-Bureau Credit Report. Each product includes different types of credit reports, alerts, and identity theft protection for companies and users.
In our practice, we use Experian for different purposes and find it to be the best solution for customer’s verification. In the case of any fintech product be it mortgage or investment platform, it’s important for the application to ensure that it’s dealing with a real person. Also, data provided by the API allows to find out whether the info provided by the customer is valid ensuring fraud detection.
Thus, Experian helps to create a fully digital fintech product. For example, we used Experian to build solutions for Molo, a digital mortgage platform that enables UK consumers to gain easy and instant access to mortgages online without having to spend an inordinate amount of time or money doing so. Using our Experian integration, we created a life-cycle mortgage management module to schedule regular payments and track arrears.
Onfido is another fintech data provider we used to develop solutions for fintech products. Specifically, we use Onfido to develop a tool used to verify and confirm photo identities.
This software company helps businesses verify people’s identities through selfies, photo IDs, and AI algorithms. The company has three main products: Document Verification, Biometric Verification, and Authentication.
We use Onfido for three reasons. The first one is the overall customer experience it provides: it’s user-friendly, and helps us reduce the time required for integration. The second reason is that it allows us to build identity profiles that are as robust or as shallow as we want via services such as database checking, document verification, and biometric verification. Lastly, we use Onfido’s extensive security features to help detect fraud.
Yodlee is an American software company whose product aggregates and consolidates the financial data of users — from credit card information to their travel rewards account balance — on one screen. It offers a number of products for data aggregation, budget planning, classification, a virtual financial assistant, and more.
Yodlee has over 1000 partners, both in the traditional financial arena and fintech, and an extensive data network. Its product also has API features such as rapid authentication, which reduce fraud and risk. Finally, since it’s an open-source platform, developers can easily use the latest APIs in their own fintech products.
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We’ve used this software in two of our fintech development projects: Sindeo and Lendage. Here’s how:
Case 1. Sindeo is innovative digital mortgage software that uses technology to improve the property-buying experience. It consists of two portals: a Mortgage Consumer portal and an Internal Mortgage Advisor portal. We used Yodlee to develop Sindeo’s employment,asset-verification, and income-verification features.
Case 2. Lendage is a platform that offers data-based advice to people who are looking for the best mortgage options. One of Lendage’s most notable features is its ability to verify the incomes, assets, and employment information of users by means of several third-party integrations, including Yodlee.
Other Possible Integrations for Your Financial Product
We’ve just introduced you to our favorite data as a service for fintech. But of course, there are more data providing companies on the market that may be useful for fintech development (especially banking app development). Here are some of them:
Founded by two friends back in 2008,Dwolla is an ACH processor that provides a web-based platform for requesting, sending, and receiving funds in the United States. Today it serves thousands of users and includes various functionalities such as identity verification, account history retrieval.
Dwolla specializes in providing solutions to fintech companies, enterprise businesses, and online marketplaces. It also has integrations with such applications as Slack — you can set it up to get notifications about different types of events; QuickBooks — you can download reports to your QuickBooks account and present them to other people; and Sift — a Digital Trust & Safety Suite, which connects data from websites that belong to Sift’s network to prevent fraud.
Trulioo is a Canadian company that’s been operating since 2011. It provides users with access to data on more than 250 million companies and 4.5 billion people spread across upwards of 80 countries to help businesses authenticate financial data & verify identities. Its core focus is to differentiate between human and bot web traffic.
Trulioo has 3 main solutions: identity verification, business verification, and document verification. It has GlobalGateway, Trulioo’s own identity verification platform, which was created to help meet KYC (Know Your Customer) and AML (Anti-Money Laundering) requirements and reduce the risk of fraud. Thus, Trulioo is a fintech data company that helps many financial startups.
SensiBill is another company that provides data services for fintech companies. Think of SensiBill as a virtual wallet, one that is overflowing with old receipts and loose change. What SensiBill does is simple, yet remarkably innovative: it provides banks and other financial institutions with the ability to give their customers access to receipts from their bank account. It has 2 integration models: API integration with a completely customized user interface, and a native, white-labeled SDK (for Android and iOS).
First Access is another example of data-providing services done right. The company provides custom credit scores to everyday folk who want an alternative to the credit scores given — and monitored — by traditional credit bureaus. First Access provides companies with business information pertaining to everything from credit scores to the size of loans.
The company has many different use-cases, from routine online loan applications and optional site visits to digital appraisals for microcredit, rural business credit via mobile, and home improvement credit via API.
Technology and data play an enormous role in the financial services sector. Literally, the more data you own, the more influence, product development possibilities, and security you have. Of course, there are many ways to gather and classify data, but using quality third-party solutions and APIs makes it much easier to access the data you need.
If you want to know more about the solutions we offer, contact us using the form below. You might save time, money and effort, and also enrich your product with new and beneficial features.
- What DaaS for fintech is the easiest to use?
- Among the best data-providing services for fintech products, we recommend Experian, Onfido, and Yodlee. Other possible Integrations for your financial app could be Dwolla, Trulioo, SensiBill, or First Access. More details about the features of their use are discussed above. The choice of one or another DaaS will depend on your specific use case and the types of data needed. Before making a decision, it's important to carefully evaluate each provider's features, pricing, and ease of use.
- What data services for fintech are the most affordable in terms of pricing?
- Each provider mentioned in the article has different pricing models based on factors such as the volume of data, the frequency of access, and the specific data services being used. However, some providers, such as Yodlee and Dwolla, offer usage-based pricing that can be more affordable for smaller businesses or startups. It's important to carefully review the pricing models of each provider and compare them to your needs to determine the most affordable option for your specific situation.
- Can you help me with data-providing services for my financial startup?
- Sure. After you contact us and hire the Django Stars experts to develop your financial startup, they will carefully review the project requirements and provide sound recommendations on leveraging data-providing services to ensure your app runs with maximum efficiency.
- What other solutions for fintech companies can be useful?
- There are numerous solutions that can be useful for fintech companies, depending on their specific needs and goals. More precisely, the need for certain technical or business solutions for a company can be determined in the discovery and pre-development phases.