Rethinking Large-Scale Data Management
Hedge funds are able to be more nimble with approaches to data management. Are large firms too big to ever use the methods those funds develop? Also, the SEC considers a data strategy effort
The data management professionals who share their struggles with us—their efforts to raise the quality of data, make governance plans to respond to regulatory mandates and their firms' own internal imperatives, manage unstructured data and investigate data sourcing—all may have a deeper struggle common to any task they attempt, and that is the size and scope of their firms. Like behemoth ocean
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Data
Real-time and historical market data: priorities, preferences and the cloud
This paper, commissioned by LSEG, focuses on firms’ current market data priorities, the asset classes and geographies they are looking to focus on in the near future, and the benefits they can expect by moving their historical market data storage and…
KYC data and solutions 2023: market update and vendor landscape
This Chartis report updates previous research into the KYC solutions landscape and provides a concise overview of the main findings and insights
Data to anchor a new age of risk management
The growth of artificial intelligence and real-time compliance drives new requirements in data and analytics
Data analytics set to fuel change in the oil market
Privileged data insight is no longer the sole preserve of the world’s oil conglomerates. Access to insightful analytics is providing a new competitive edge for smaller and mid-sized commercial and trading firms in the oil market, helping them navigate…
Data-driven execution: looking back to see forward
Reviewing favourable outcomes and attempting to replicate them is by no means a new concept across the capital markets. Portfolio managers, execution professionals and risk managers use this principle to drive their decisions, although it is really only…
Solving the data challenge: technical solutions for optimisation of risk management, capital and liquidity resources
Since the financial crisis that began in 2007–08, regulatory pressure on requirements around capital adequacy, liquidity, funding, balance sheet size and leverage has become increasingly intense. As a consequence, financial institutions need to manage…
Data and AI: addressing increasing regulation for smarter compliance
This webinar features leading compliance and risk management professionals and focuses on how firms can handle regulatory change management, fraud prevention, AML and other compliance needs through the use of an optimal data and AI foundation built for…
Big data challenges: unlocking opportunities for banks to rethink their data structures
Revisions to banks’ mandatory capital requirement regulations, to be implemented in a few jurisdictions in January 2023 and globally in 2024, will present these institutions with a massive challenge as the volumes of data they must manage and analyse…
