Beginning in the early 2000s, when the algorithms and software capable of performing transaction cost analysis (TCA) on a semi-automated basis first became prevalent, the definition of the function was always: a method of determining the effectiveness of a set of transactions performed by a counterparty – the key word within that definition being ‘effectiveness.’
In 2019, the global financial services industry is set to spend an estimated USD 50bn on the raw, historical markets and transactions data inputs required to fuel a broad spectrum of daily trading activities across all major asset classes.
GreySpark Partners presents an insight paper to inform CTOs of the potential cost savings that can be made by engaging a near-shore data centre provider for non-latency sensitive high-performance computing (HPC) services.
This article is the third in a series of articles that will be published on GreySpark Partners’ Capital Markets Intelligence Web site over the coming months.
A new two-part report from GreySpark Partners shows that financial firms on the buy and sell-side are failing to effectively use Big Data technology to their advantage. Examining how Big Data technology is being used by banks and other types of financial institutions in 2016, the two sections of the study – respectively Big Data Technology in Investment Banking, and Big Data Use Cases in Financial Services – claim that, while Big Data solutions are increasingly being deployed by the companies to manage the voluminous amounts of structured and unstructured data that they hold, many of them are not using the technology effectively.
