Alternative data sources for financial services has been getting a lot of attention recently. Like any trending topic, its uses and benefits can be hyped up a bit. Much of the attention has been around creating trading strategies with an edge (generating alpha). But it also applies to risk management and enhanced regulatory oversight. To better understand the utility of alternative data, this post presents the topic within a larger context that will help to put alternative data sources to use in the most efficient and practical manner possible.

This was first published on the Arcadia Data website.

In order to fully demonstrate that their policies and procedures comply with regulatory requirements, financial services organizations must use information that goes beyond traditional data sources. Trade surveillance exemplifies this because alternative data sources are needed to provide a deeper understanding of the intent of trade activities. This post describes how visual analytics can provide compliance officers with actionable insight that will enable them to identify and investigate events more efficiently and establish a robust and defensible process across their enterprise.

This was first published on the Arcadia Data website.

The revised standards for minimum capital requirements, as laid out by the ‘Fundamental Review of the Trading Book,’ exemplifies the heightened regulatory expectations for the granular validation of risk models. This post describes visual analytics capabilities that will enable organizations to make the most of a data-driven regulatory program and establish a robust and defensible process across the enterprise.

This was first published on the Arcadia Data website.

Regulatory compliance continues to permeate more broadly and deeply into the daily functions of financial services organizations. This post describes the concept of digital packaging and why we must reevaluate the front end capabilities of any data-driven regulatory compliance program.

The use of artificial intelligence (AI) to optimize business processes across the financial services industry is becoming commonplace in 2018. Every day, new organizations announce how AI is revolutionizing the industry with disruptive results. As more and more business decisions are based on AI and advanced data analytics it is critical to provide transparency to the inner workings within that technology.