A number of recent research studies reveal that consumer confidence in financial services continues to rise following the fallout from the financial crisis of 2008. In fact, global consumer trust in banks has risen 4 percent since 2009 to 51 percent, according to the 2014 Edelman Trust Barometer. Additionally, a… Read More →
As many analysts are aware, R is a powerful language for statistical analysis and visualization. This open source language has top-notch graphics capabilities while offering the flexibility for users to quickly develop custom analyses and to modify them. It also incorporates standard statistical tests, models, and analyses. These capabilities serve… Read More →
Savvy investment managers know the importance of taking downside protection during a bull market like the one that currently exists. However, despite the growing use of data and technology to manage and monitor market and credit risk more effectively, most financial services firms continue to lag in their abilities to use… Read More →
Despite nearly a decade of negative real returns on equity and a string of bear markets, global wealth has more than doubled since 2000, reaching an all-time high of $241 trillion last year. That’s according to the 2013 Credit Suisse Wealth Report, which forecasts that global wealth is expected to grow… Read More →
Big data, once relegated to the technology industry, is making its way toward financial institutions looking to make better decisions about consumer loans and credit opportunities. The end result? Helping financial institutions around the world gather more data, analyze it more effectively, and make decisions more quickly.
While the banking industry has bounced back on paper from the financial meltdown that began in 2008 – posting a 70% increase in net income since 2009 – much of the industry’s rebound has come from slashing costs and writing off bad debt.
As more retail banking companies embrace the challenge of applying data analytics to their internal processes, they see more clearly the immediate and long-term benefits worth pursuing. If you’re in the retail banking industry here are some reasons you should get into the big data game, if you haven’t already.
The fallout from the financial crisis that began in 2007 continues to impact retail banks. As banks have lost and struggled to regain customer trust, they’ve also labored to retain their most profitable customers. Indeed, one-third of the new banking products that global customers have purchased over the past year have… Read More →
A focus on predictive analytics can position retail banks for continued success in slow or very competitive markets. While this is not a comprehensive look at how predictive modeling can give your financial organization a leg up, we’ve examined some promising research to bring you three areas where predictive analytics… Read More →
While financial markets are notoriously hard to forecast, top performing companies in the financial services industry are using predictive analytics to gain new insights into customer behavior to drive revenue and deepen existing relationships with their customers. That’s according to a new research report from Aberdeen Group that found that… Read More →