Fannie Mae Survey: Big Banks vs. Big Tech
Published – Feb 2019
Online services offered by banks are appreciated by consumers, however, big tech competitors loom, stated a new Fannie Mae survey that looked into the American perspective on banking experiences, and the shifting patterns in consumer digital experiences.
According to respondents of the Q3 2018 National Housing Survey, while 43 percent of Americans say they are “very likely” to recommend their bank, 24 percent said they tend to stay with them out of convenience and trust. Some choose to stay on account of their bank’s speed, rates, or online interface.
Sixty-nine percent of consumers reported overall satisfaction with their primary bank’s online interface as they are easy. Several respondents stated that they prefer performing simple tasks online—such as depositing money and paying bills—and are less comfortable performing more complex tasks online, including applying for a mortgage. Sixty-eight percent of young Americans do online banking, and approximately one-third of those surveyed use Big Tech payment services for mobile payments.
The survey’s findings come at a time when traditional banks and financial institutions face increasing competition from start-ups and established Big Tech companies that have started rolling out financial services. These companies, however, do not inspire much trust among consumers, the survey noted. However, 20 percent of Americans, when thinking of their favorite technology companies—Google, Amazon, Apple, and Facebook— are more likely to trust that particular Big Tech company to handle their financial activities, including mortgages.
“These new entrants are looking to offer financial services and are often credited with offering dazzling consumer digital experiences significantly better than those of traditional banks. Given the digital and customer experience prowess and resources of Big Tech firms, they may be especially well-situated to compete against traditional financial institutions,” said Steve Deggendorf, Director of Market Insights Research at Fannie Mae.
The survey also pointed out most banks do not currently provide the experience that fulfills consumers’ financial needs on the digital front compared to the Big Tech giants. Fannie Mae’s prior research also shows that a majority of recent homebuyers have some interest in a fully digital mortgage. The survey findings also indicate that now is the time for banks “to step up their digital game and, more specifically, to consider how to best digitize more complex financial tasks before Big Tech does.”
Read the full report here.
How AI Could Impact the Industry
Published in DS News – OCT 2018
To many in the mortgage industry, the rise of artificial intelligence and machine learning—or AI/ML technology—seems inevitable. In fact, other industries that manage large amounts of data, such as health care and transportation, have already begun adopting these digital technologies with relative success. In the spirit of the times, Fannie Mae has released a survey that gauges the rise of automation among lenders, as well as their overall attitude toward the technology.
According to the survey’s results, a majority of lenders (60 percent) have some knowledge of AI/ML and its capabilities, though only a little more than a quarter (27 percent) have begun utilizing AI/ML specifically for their business. Among those who have, the majority are large and mid-sized institutions (42 and 40 percent, respectively), while 60 percent of smaller institutions have yet to tinker with the possibilities. Still, over half (58 percent) of all lenders surveyed by Fannie Mae anticipate the integration of AI/ML within the next few years.
Most of those surveyed seem evenly split about the most promising aspects of the technology, with more than half arguing for improved efficiency while the other half put the focus on enhancing the borrower’s experience. Among those lenders who have begun adopting the technology, it has been used primarily to analyze submitted borrower forms in the origination or underwriting process, as well as for the auto-indexing documents and routing tasks among employees.
Machine learning and AI also hold much promise for the servicing side of the business too, in the form of improved security tools and AI-driven customer service features such as voice-activated virtual assistants and chatbots to address customer questions.
The Fannie Mae survey suggests that the biggest hurdle to the implementation of more AI/ML technology within the industry is existing business infrastructure, followed next by the costs and a general skepticism that the technology will prove more effective. Twenty percent of lenders lack the necessary skills to utilize the technology, which presumably would require additional training.
Tracy Stephan, Director of Economic & Strategic Research with Fannie Mae, summarizes the survey’s results on their website here.
Published in Forbes Magazine – OCT 5, 2017
Startup Targets IBM in $27 Billion Middleware Market
If you’ve ever been to a bullfight in Madrid, you know it’s a savage, bloody affair that brings out waves of nasty human emotion. The cascade of cruelty begins with the picadores who seek to enrage the bull by tossing lances (picas) into its pelt before the bull’s encounter with the matador.
This comes to mind in considering IBM. This year I’ve written about five companies that are tossing picas into IBM’s pelt by attacking big markets in which IBM competes. These startups are growing much faster than Big Blue by offering customers better solutions to their problems at a lower price.
The question that persists in my mind is how long it will take before this enrages IBM’s board of directors enough to do something about it.
In the meantime, here is a sixth startup that’s targeting the $40 billion market for so-called middleware in which IBM participates through its WebSphere and InfoSphere products.
Before getting into that, here are five I’ve written about in 2017:
- Identity management is a $2 billion market for protecting computer systems from unauthorized users features smaller rivals like SailPoint that has been growing at 30% a year to $130 million in revenue on the strength of its product development and culture.
- Process improvement software is a $15 billion market that helps companies make their business operations more efficient. One startup, Celonis, automates the development of process maps and expects to triple its revenue this year as it takes market share from IBM and others in the SI industry.
- DevOpsis a $2.3 billion market whose products cut the cost and shorten the time to market for software development. Xebia Labs is a DevOps supplier growing at over 100% a year and is likely to keep growing that fast this year as it wins business from IBM and others.
- Enterprise Performance Managementis a $20 billion market that helps companies make better plans. Anaplan is taking customers from IBM, Oracle, and SAP in this business and in its fiscal year ending January 2017, Anaplan had $120 million in revenue, was growing at 75%.
- Cloud securityis a $75 billion market that protects companies that operate in the cloud. Threat Stack intrusion detection platform for cloud, hybrid-cloud, and on-premise environments is taking share from IBM while growing at a 235% rate with expectations of expanding 350% its 2017 annual recurring revenue.
Here’s a sixth pica for IBM in the $27 billion market for application integration and middleware (AIM) software which Gartner says continues to grow faster than the overall infrastructure software market at 7%.
Girish Pancha – who earned a BS and MS in Electrical Engineering from Stanford and Penn respectively — left his role as Chief Product Officer at Informatica to found StreamSets in 2014 after “identifying a need in the market for data integration middleware, so enterprises could manage their data performance in the same way they use Application Performance Management (APM) and Network Product Management (NPM) to manage applications and networks.”
As Pancha explained in a September 29 interview, StreamSets — which started generating revenue in October 2015 — raised $20 million in a May 2017 Series B from Accel Partners, Battery Ventures, and New Enterprise Associates — and has doubled its head count in the past year from 35 to 70, mainly in the dev department with only two people leaving the company since 2014. While “headcount is growing at 50%, recurring revenue is soaring at 400%. I expect recurring revenue to rise 200% in 2018 while headcount will continue to rise at 50%,” says Pancha.