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Business intelligence trends in the fintech industry

News Desk
News Desk
News Desk
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News Desk
The latest news, comment and analysis from our crypto news desk.
January 31st, 2023

Within the startup community, fintech companieswere once a surefire bet for securing funding from investors. Today, thecrowded market means that investments in the industry are now declining as amore saturated market encourages greater caution even among the most liberal offunding bodies. It’s not hard to see why: by the time a fintech startup reachesSeries A funding, the survival rate is only 40%. The figure drops to 5% by SeriesD.

To stay competitive, fintech companies need help.Not only is their own market increasingly crowded but big banks are gearing up to take them on. What’s more, bigbanks have the wealth, talent, and data to give startups a literal run fortheir money.

Thankfully, fintech companies don’t need to go italone. Business intelligence (BI) can help fintech startups and tech companiesentering into the space not only beat the banks but ensure they provide thebest products to their customers as they grow larger and their customers’ needschange. BI could even help these young, fast-paced startups attract the mostnotoriously difficult customers.

WhatBusiness Intelligence Offers Fintech

Securing a competitive advantage both for fundingand market share is more critical than ever for fintech startups. Thankfully,the industry has a friend in business intelligence and analytics.

Business intelligence (BI) uses software (orservices) to take the vast amounts of available data and transform them intosomething more than trends. It offers data-driven decision making, which createsinsights that allow companies of all backgrounds to make strategic businessdecisions based on huge amounts of data — not gut feelings.

Why is BI so important in fintech? It’s not justbecause the finance and technology markets are increasingly saturated. BI isalso crucial because big banks are using BI combined with big data andartificial intelligence to reclaim what was once solely theirs.

For example, ING is using a combination of the three to improveits experience and win back customers. Global behemoths like ING have deeppockets and vast amounts of data thanks to their significant existing customerbases. In other words, the competition isn’t just inside the fintech house:it’s also knocking on the door.

As fintech companies grow, so too will theirtransaction data. But they still need to provide the same level of service thatthey did when they were young and nimble. It’s much harder to monitor potentialglitches as their customer base and corresponding data grow, but BI can helpsort through the data and identify the bigger trends.

For example, hyper-personalization is beginning to take holdin fintech just as has in the tech space more generally. Fintech has the datato create this kind of personalization, but BI can help companies make sense ofit quickly. Meanwhile, European start-ups, like Germany’s N26 and the UK’sRevolut, are looking to move abroad and take on marketslike the U.S. They can use BI to learn more about what their new customers wantand find ways to provide it while also dealing with the topsy-turvy approach tofintech policy used in the U.S. that’s designed to protect existing playersrather than encourage innovation from new entrants.

Companies that invest in BI will be able to stayone step ahead of their competitors as well as identify new opportunities forinvestments. In other words, fintech no longer needs to take a blind leap offaith into a new feature or market. It can hash out every aspect of a trend ina very visible way and reduce as much risk as possible. The practice will alsoallow fintech startups to better pitch to investors, which will make those whoadopt BI more attractive investments.

BI-BasedUser Experience is Critical to Survival

Bill Gates once said, “Banking is necessary,banks are not.” And his idea encapsulates the big difference between fintechand the behemoth banks and legacy organizations (like PayPal). The differenceis in user experience. Creating a user experience that transforms the waycustomers experience banking is the game-changing factor for a start-up, butit’s not as easy as it looks from the outset because it requires more thansleek design or trendy debit card models.

To win the experience game, fintech must increasingly challenge the traditional banking model and culture in favour of a customer-centred approach. BI has the potential to contribute to better UX by processing user behaviour data and then using it to create a competitive edge. For example, it can optimize the on-boarding process to make signing up easier than ever while still remaining within the bounds of banking regulations. Asian banks are particularly good at this: they offer digital onboarding experiences that are seamless. Signing up needs to be as easy as possible because the first hiccup can lead to abandonment. UX can point out those trouble spots in the on-boarding process and minimize the pain points.

Those companies who survive will do so not justbecause they create a data-focused UX but because they use data to create amore engaging UX. Their BI will also give them a fuller opportunity forexplaining their changes. The key to changing anything in UX is to figure out how to communicate the change effectively,both for employees and customers. Because the change comes from insights, itwill be easier to provide a more comprehensive explanation as well as shareyour vision about both the rationale and the new process itself.

BI’s Contributions toCybersecurity Will Win Customers

One of the biggest barriers fintech faces is the threat of cybersecurity. It’s both a real andexistential threat in this sector. Cybersecurity is an issue for every singlebusiness, but fintech faces obstacles other sectors, like retail, don’t becausefintech wants, even needs, real-time access to customers’ money rather than justthe last four digits of the card numbers. A swath of potential customers won’tmake the switch from their traditional banks because of the perceived sense oftrust — or distrust. Millennials and Gen X trust fintech in waysthat Baby Boomers typically have not. But that can change.

BI can help fintech target Baby Boomers by improving cybersecurity. Baby Boomers are banking customers who will need services that protect them and their money from fraudulent behaviour (as well as unethical behaviour committed by big banks). Their needs will be more pressing as they reach retirement.

The investment in security will be important because fintech is also more nimble than traditional banks, which will be a boon to Baby Boomers whose finances are far more complicated than their parents were. Today’s retirees will need to be able to provide account access to members of their families and integrate their bank accounts with other financial products. More importantly, they need these services to be cheap and avoid taking a huge chunk of their money in fees and charges.

Ultimately, the same real-time applications thatBI offers for actions like predicting glitches and preventing fraud can alsoallow fintech to use real-time data applications to pivot between customermarkets.