New York-based Trillium unveils a new mobile compliance and monitoring tool to provide users with depth-of-book quotes for US equities.
Executing broker to use Surveyor for oversight, post-trade analytics.
Due diligence and tax withholding requirements of the US anti-tax evasion regulation have been postponed until July 1, 2014 to allow time for more countries to sign intergovernmental agreements with the US Treasury
The final regulations of the Foreign Account Tax Compliance Act have relaxed some deadlines and documentation requirements, but the data management challenges remain significant
The final regulations provide clarity about what firms need to do to comply with the US anti-tax evasion regulation
Next year promises to be a key time for clarifying regulations and figuring out just how they will affect and govern data management, especially Fatca
With 12 months left to prepare reporting capabilities for the Foreign Account Tax Compliance Act, entity classification is presenting serious challenges, and the effect of intergovernmental agreements has not become clear, writes Nicholas Hamilton
Developments in regulation and standards such as Fatca and Solvency II, along with reference data needs identified by ISITC, are part of the reason why reference data is definitely not a stagnant part of securities industry operations in the year to date
Strapline: Regulation & Standards
All the signs suggest US anti-tax evasion regulations present major data challenges for firms in 2012. However, it may be possible to derive business benefits through compliance, writes Nicholas Hamilton
Trillium Sofware is to help firms analyze whether their data is fit for compliance with US anti-tax evasion regulations
Investment bank Absa Capital chose Trillium Software, through re-seller Master Data Management, for the quality of its handling of client static data
While data management programs are maturing, firms are taking data quality measurement to a new level. It is no longer only about implementing rules as part of a golden copy platform. More firms are starting to measure quality downstream to detect…
Data quality can break down anywhere in the data lifecycle, and a growing number of firms are now seeing a need to measure quality in downstream systems