Time is Money, they say. And when you waste time on onerous menial tasks instead of improvements, you aren’t spending your time, or money, wisely. When it comes to planning and analysis, the role of financial professionals is to provide insights that helps shape the direction of the entire organization. However, many financial professionals feel that they spend too much time trying to find and connect data, rather than focusing on strategic insights.

Startups and limited liability companies are known for their limited funds, and they prefer to cut down on employee payments to preserve money and recycle whatever they generate into their growth. As a result, they often offer equity compensation to their employees; more specifically, profits interests.

Eighty-nine percent of financial professionals across multiple geographies and industries are dissatisfied with their operational reporting tools. Why is that number so high? What are the challenges they’re facing? More importantly, what would it take to turn that dissatisfaction into satisfaction?

Fintech is the future of finance. From digital wallets to firms that help traditional banks create digital customer solutions, financial technology companies are thriving. Because of this, you may come across plenty of new banking terms. Keeping up with this terminology may seem challenging, which is why we’ve created our guide to the banking API vs Open Banking and Neo Banking.

Financial institutions rely on APIs to permit their different financial software solutions to communicate or to give clients access to their processes. Every time a client opens a mobile app for banking on their phone or interacts with the financial services industry through the web, they are using APIs (Application Programming Interfaces). The interaction with mobile users is one of the biggest benefits of API banking and APIs in general.

We talked to Dama Damjanović, Principal Engineer at N26 about how the regulations in finance and banking affect engineering teams behind fintech apps, how they can improve security, and what type of new technology will add the most value to the industry in the coming years.

Organizations in the financial services sector face a unique set of challenges as they consider how to wrangle and process the vast amount of data they collect. During our Financial Services Summit, I was lucky enough to speak to Brian Anthony, chief data officer for the Municipal Securities Rulemaking Board (MSRB), to learn how the MSRB is integrating technologies such as artificial intelligence (AI) and machine learning to modernize its data.

In the financial services industry, it is common for employees to spend significant time on manual, repetitive tasks that need to be completed with high speed and accuracy. Complex processes like customer onboarding, mortgage lending, and customer service are filled with routine tasks like data entry, invoice processing, response tracking, and reminders. Automation frees employees from rote tasks that are better suited to simple bots, resulting in both financial and opportunity cost savings.