The Importance of Sound Data Management Techniques and Governance for Tier-2 and Tier-3 Asset Managers
This webcast outlines the technologies, techniques and disciplines available to tier-2 and tier-3 asset managers, and the business benefits accruing to those firms that get this crucial balance right.
What has become patently clear over the last few years across the buy side is the extent to which data drives every business process. It therefore stands to reason that the cleaner, timelier and more accurate organizations' data is, the better managed their downstream processes are, from pre-trade decision support, performance and attribution on the one hand to reporting, risk management and various data analytics activities on the other. The old adage of "junk in junk out" has never been more pertinent to data management than it is right now. This webcast focuses on the data management and governance trends across the buy side, the challenges and opportunities facing buy-side firms when it comes to managing ever-increasing data volumes, the importance for executive buy-in when it comes to data management projects, and the options available to buy-side firms when it comes outsourcing certain aspects of their data management functions.
Panelists:
• Louise Head, associate director of performance, Hermes Investment Management
• Lawrence Jordan, senior manager, data science, RBC Wealth Management
• Spiros Giannaros, global head of Markit EDM at Markit
• Moderator: Victor Anderson, Editor In Chief, Waters and WatersTechnology
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@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com 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@waterstechnology.com
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@waterstechnology.com
More on Data Management
AI for data quality control catches on at institutions
Data execs at banks and asset managers say they are working on projects using AI to improve data-quality workflows.
Mercury rising as Cboe shutters Trade Alert
Trade Alert is the latest business arm to be shut down by Cboe, but a former staffer has set up Mercury Alerts to replace it.
Private credit has outgrown its spreadsheets
Private credit severely lacks operating leverage, writes Daniel Hellwig, but standardizing how terms are recorded and applying AI could inch it toward maturity.
JP Morgan retools Isda’s CDM for an AI world
The trade repository runs on a niche programming language, to which the bank has made new contributions that could help raise adoption.
Kalshi recruits TradFi partners for institutional build-out
The prediction market has inked partnerships with Tradeweb, BMLL, and others as it aims to give institutions familiarity in an emerging market.
Examining Google’s jump into financial research with enterprise Gemini
Google partners like Deutsche Bank and FactSet are using the offering to augment their own AI strategies.
SIX is preparing its data for clients that aren’t people
The Swiss exchange operator is betting that context and lineage will keep its market data relevant if AI agents become primary data consumers.
AI assistants for human overseers? Or human checks and balances for AI actors?
The Waters Wrap: Speakers at a recent Bloomberg event emphasized the importance of keeping a human in the AI loop—but, Max asks, for how long?