This report updates our previous KYC/AML quadrant reports. It examines financial institutions’ (FIs’) evolving technology requirements for Know Your Customer (KYC)/anti-money laundering (AML) processes and systems.
Vendor Analysis: Oracle Financial Services - Insurance Risk Systems for IFRS 17 and LDTI Compliance, 2020
This Vendor Analysis is based on the Chartis quadrant report 'Insurance Risk Systems for IFRS 17 and LDTI Compliance, 2020: Market Update and Vendor Landscape' (published in June 2020). This section summarizes the key theses in that report; subsequent…
Chartis Research and Fenergo have developed a focused return on investment (ROI) model for CLM, to determine how much value financial institutions (FIs) can hope to achieve from their CLM solutions. This report outlines the Chartis model, its methodology…
The first quarterly rolling update of Chartis' research agenda - now includes Q1 2021.
In this short report, Chartis research analysts present their view of the technology and system challenges that financial institutions (FIs) are likely to face in the coming weeks and months as the COVID-19 pandemic continues. Amid ongoing market…
This is Chartis’ first dedicated report covering Know Your Customer (KYC) and anti-money laundering (AML) data solutions. It outlines the key trends and dynamics in the market and provides a snapshot of the vendor landscape.
This supplement to the main RiskTech100 ranking report highlights the achievements and innovations of many of the featured vendors, giving readers a glimpse into what makes them successful.
A summary of Chartis' planned subscription reports and targeted topic areas for 2020, with a summary of the 'pillars' that will underpin our research.
Welcome to Big Bets, a briefing from Chartis Research in which we explore the five big themes we believe will shape the RiskTech marketplace in 2020.
Beyond Detection: Driving Automation and Artificial Intelligence into Financial Crime Risk Management
This report examines AI and automation within the context of an FIU. It explores how these technologies can help in AML and trade surveillance, and offers practical advice on overcoming organizational and regulatory obstacles to their deployment.