Dive into the latest insights, trends, crunch the numbers and explore infographics from fintech. Focus for this week: behavioral economics, biggest start-up failures and lessons to learn, business risks to avoid, ML and unlocking its power for cybersecurity, exploring the racial wealth gap in the US, and the Baltic investment landscape.
The Behavioral Economics Guide 2021 (Behavioraleconomics.com)
This research advocates flipping the traditional model of behavioral economics, calling on scholars to place themselves in the shoes of the people whom they are trying to influence. The general call is for policy research that starts by imagining what a successful intervention would look like fully implemented in the field, applied to the entire subject population, sustained over a long period of time, and working as expected, because its mechanisms are understood. Read more
210 Of The Biggest, Costliest Startup Failures Of All Time (CB Insights)
From financial fraud to just running out of money, this analysis scanned the CB Insights database to identify 210 of the most expensive startup flameouts in history. In this review of failure, an overview of the most well-funded startup companies that ultimately failed or had an undesirable exit is presented, such as an asset sale or an acquisition for less than the total funding raised by the company. Read more
The Biggest Business Risks in 2021 (Visual Capitalist)
Businesses, too, face rapidly changing environments and associated risks that they need to adapt to—or risk falling behind. These can range from supply chain issues due to shipping blockages, to disruptions from natural catastrophes. As countries and companies continue to grapple with the effects of the pandemic, nearly 3,000 risk management experts were surveyed for the Allianz Risk Barometer, uncovering the top 10 business risks that leaders must watch out for in 2021. Read more
The advantage of Machine Learning in preventing fraud (Finextra & Sift)
This report highlights that accurately identifying customer behavioural trends and proactively preventing payments fraud and other criminal activity at the outset can be done with machine learning. Ingesting tens of thousands of complex signals and analysing patterns to monitor activity is more effective than blocking transactions based on hard-coded and antiquated rules. Read more
Analyst Report: Expectation Versus Reality for Payments Data Monetization (Fintech Futures)
To better understand the opportunities for launching new services that leverage payments data, Celent has conducted a survey and detailed analysis of today’s landscape in partnership with MongoDB and Icon Solutions. At the core of this are two global surveys of senior executives, which in combination provide an in-depth view over both the demand and supply ends of the value chain. Read more
The economic state of Black America: What is and what could be (McKinsey)
This research provides a fact base to document the racial gaps that exist in the US economy today and offer a vision of what could be gained if they were closed. The paper adopts the lens of the economic roles individuals play as workers, business owners, savers/investors, consumers, and residents. These roles are obviously not neat silos. But collectively, they offer a multidimensional view of economic life, examining how individuals make a living, spend their incomes, and build wealth or manage debt. Read more
FinTech investment growth in the Baltics paused in Q1 due to lack of large deals (Fintech Global)
Despite being a small market, the countries in the Baltic region – Latvia, Lithuania and Estonia – possess a high level of technology penetration which has produced a disproportionately high number of tech hardware and software startups. As such the ecosystem showed resilience in the face of the pandemic and after a slowdown in 2019 FinTech funding grew 3.8x to $175.3m. Deal activity also picked up from 41 deals in 2019 to 45 transactions in 2020. Read more
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