Data Management Insight Regulatory Compliance The latest content from across the platform
Fenergo Automates Client Onboarding Systems for Mizuho Americas
Mizuho Americas has deployed Fenergo client lifecycle management (CLM) software to automate Know Your Customer (KYC) and Anti-Money Laundering (AML) regulatory processes, digitalise workflows and accelerate client onboarding. The Fenergo implementation replaces manual processes and provides Mizuho Americas with a single, comprehensive view of customers across all business lines. Mizuho Americas’ parent, Mizuho Financial Group,…
How to Get Your Data Management Ducks in a Row to Deliver Rapid, High Quality Analytics and Surveillance
Is your organisation looking to achieve market-beating analytics and exceptional market surveillance that will surpass regulatory compliance to deliver new business opportunities? If this is the case, look no further than A-Team Group’s next webinar that will discuss how to build a robust data management discipline to drive efficient and effective analytics and market surveillance….
Lack of Equivalence Post Brexit Raises Costly Data Management Concerns
The UK has finally left the European Union. A trade deal was wrung out at the eleventh hour, allowing the two sides to trade with zero tariffs and quotas, but the financial services industry has been left hanging – with talk of an MoU around the regulation of financial services being reached by March 2021…
Solidatus Moves into 2021 with Expansion Plans Backed by Investment from Citi
Solidatus, provider of a data management platform that allows businesses to rapidly map and visualise their data landscape, grew from strength to strength in 2020, and is on the cusp of further strategic development as it heads into 2021 with plans to accelerate growth, expand into the US and Asia Pacific, and release next-generation data…
2021 Predictions: Change is Afoot
By Marc Murphy, CEO, Fenergo. It almost feels like the financial industry went to bed in March 2020 and woke up in 2030. Prior to the pandemic, financial institutions had been falling behind when it came to digital transformation, only increasing resources when absolutely necessary. But now, the pandemic has forced financial institutions to make…
GLEIF Calls Global Industries to Join Development of Cryptographically Verifiable LEI
The Global Legal Entity Identifier Foundation (GLEIF) has set out grand plans to create a digitised LEI service based on a digitally verifiable credential containing the LEI – the vLEI – and able to provide automated identity verification between counterparties. The ambition is for all industry sectors globally, including financial services, to embed new and…
To Buy or Build: Four Considerations for CIOs
By: Niall Twomey, CTO, Fenergo. Before embarking on a CLM (Client Lifecycle Management) digital transformation program, most financial institutions (FI) are faced with the ‘buy versus build’ conundrum; to buy something from a third-party vendor or completely build something internally. There are several factors that need to be considered in this decision making process including…
How to use the LEI to Solve your Onboarding Problems and Cut Costs
Client onboarding and lifecycle management are an ongoing problem at many financial institutions, with inefficiencies often caused by layers of technologies and processes added to capture required data and avoid fines when new rules and regulations are introduced. A solution to the problem, which could save the global banking industry billions of dollars a year…
DSB Calls on Market Participants to Join Consultation Covering UPI Fee Model
The Derivatives Service Bureau (DSB) is pushing on with development of the Unique Product Identifier (UPI) ahead of implementation in 2022 with consultations designed to understand market participants’ views on how the principles underlying the fee model for the identifier should be established. All firms reporting to trade repositories will need to include the UPI…
Recorded Webinar: Managing unstructured data and extracting value
Unstructured data offers untapped potential but the platforms, tools and technologies to support it are nascent, often deployed for a specific problem with little reuse of common technologies from application to application. What are the challenges of managing and analysing this data and what are the considerations when making investments in this area? Data quality, consistency…