Posts Tagged ‘Finance’

Stock market investment has been a topic of discussion for much of the last century. From maximizing returns to understanding trends, the process has generally been manual. The cognitive cloud is changing that. Disruptive technologies are fundamentally altering the financial technology industry. They’re reducing the complexity of investment decisions by making offers and products more […]

In our guide titled “6 Ways to Mitigate Risk in Cross-Selling for Financial Services,” we briefly touched on the use of artificial intelligence and intelligent machines, along with comprehensive processes, to fight fraud. In combination with ‘know your customer’ (KYC) processes to help catch suspicious banking activity and reduce risk through the analysis of data […]

In the recent “Shaping Digital Finance” session at the 20th Milken Institute Global Conference, Corrie Elston, chief technology officer, financial services, Google Cloud Platform, said that a financial services institution may experience 80% accuracy in detecting fraud and 99.5% false positives. As mentioned earlier, only about half of money laundering or terrorist financing incidents were […]

One of the buzzwords in the financial services industry is “machine learning.” While even among experts in the field there is no single accepted definition of machine learning, in simplest terms, machine learning focuses on the use of technology (often referred to as artificial intelligence or cognitive computing), to find solutions through continuous learning. It’s […]

While anti-money laundering (AML) programs may present the biggest opportunity for machine learning to thrive, there are many issues when it comes to fighting money laundering. The number and high caliber of resources required to battle fraud in today’s highly regulated environment are immense, and the cost – of both personnel and technology required to […]

According to the U.S. Department of the Treasury’s Financial Crimes Enforcement Network (FinCEN), “Money laundering is the process of making illegally gained proceeds (i.e., ‘dirty money’) appear legal (i.e., ‘clean’). Typically, it involves three steps: placement, layering and integration. First, the illegitimate funds are furtively introduced into the legitimate financial system. Then, the money is […]

Business intelligence (BI) technologies enable wealth management firms to analyze raw data, with the goal of improving decision making, enhancing client relationships, increasing operational efficiency, and adhering to legal and regulatory compliance mandates. A properly designed BI framework can provide financial services companies with a rich, intuitive user interface that enables business users to run […]

There are many considerations when it comes to the development and operation of a business intelligence (BI) program, especially when it is specific to certain sectors of the financial industry like wealth management. Nonetheless, there are several fundamental beliefs wealth management firms should embrace as they pursue their BI efforts: BI is a powerful tool […]

The process of implementing a business intelligence (BI) program varies based on the scope. A comprehensive, enterprise-wide BI program typically starts with an assessment phase to identify the data domains, systems of record, core data elements, and analytical requirements. Some level of process flow analysis may also be required to understand the origin and usage […]

The ideal candidate for a business intelligence (BI) program is a firm that is seeking greater operational efficiency, increased flexibility and interoperability, better management reporting, mitigation of regulatory or other risks, enhanced transparency, access and support, and the ability to make informed business decisions. It is a firm that believes the investment in operational efficiency, […]

The business intelligence (BI) industry has been plagued with poor user adoption for years and has a huge failure rate among companies. Here are some of the reasons why. Product is challenging to use: When a BI tool is not designed for business users, such as financial advisors and client associates who are primarily non-technical […]

Wealth management firms that have embraced a comprehensive business intelligence (BI) program can: mitigate operational and regulatory challenges across the firm; gain visibility into investment analytics, client relationship management, performance reporting, compliance, and contact management; and generate more comprehensive management and client reports. On the other hand, wealth management firms with a more limited set […]