Data Quality: New Methods and Mindsets -- Webcast
Archive recording of April 14 webcast covering data quality issues
Current industry efforts to raise the quality of data involve the rethinking of data processes and technologies, along with clearer and better definition of expectations for quality. This webcast will cover the ways firms are innovating to meet data quality goals and how the industry and data operations will evolve as a result.
--What new tools and technologies are firms using to improve data quality and what are the benefits and challenges to applying those methods?
--How should data quality improvement efforts be implemented?
--What internal and external forces affect data quality goals?
--Are data professionals' expectations reasonable or unrealistic?
Moderator: Michael Shashoua, Editor, INSIDE REFERENCE DATA
- Gururaj Krishnan, Vice President, Futures Execution Technology, GOLDMAN SACHS
- Dennis Gonzalez, Platform Re-engineering, ALTA STRATEGIC
- Adam Devine, VP, Product Marketing & Strategic Partnerships, WORKFUSION
- Dominique Tanner, Head of Business Development, SIX FINANCIAL INFORMATION
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
      
    
  SIX, ViaNexus build market data platform to unite data consumers, producers
The assets that formerly comprised IEX Cloud will underpin a new market data platform that hopes to give SIX Group and its data consumers a closer, more controlled relationship.
MSCI CEO: Vendor ‘feverishly’ infusing ‘every aspect’ of MSCI with AI
Additionally, while the vendor’s new private credit tools haven’t yet translated into outsized sales revenue, Henry Fernandez says “they will” in the future.
Follow the money: The fintech funding machine shifts gears
The IMD Wrap: Freshly back from the hospital, Max sizes up the booming (or is it?) fintech investment universe and wonders where to sock away his retirement savings.
Goldman’s credit reporting proposal sparks criticism
The shift to end-of-day and next-day reporting on large portfolio trades is seen as a step back for transparency.
S&P Global partners with IBM, Eventus launches Frank AI, Tradeweb expands algo execution abilities, and more
The Waters Cooler: Arcesium makes waves with Aquata Marketplace, NYSE Cloud flows into Blue Ocean Technologies, and more in this week’s news roundup.
Is market data compliance too complex for AI?
The IMD Wrap: Reb looks at two recent studies and an article by CJC, which cast doubt on AI’s ability to manage complexity.
Robinhood looks to ‘Chaos Monkey’ for op resilience playbook
As firms look to break down silos across business divisions to bolster operational resilience, the US broker is ditching emails, while utilizing chaos engineering and automating everything in sight.
Can AI be the solution to ESG backlash?
AI is streamlining the complexities of ESG data management, but there are still ongoing challenges.
 
 
   
   
   
   
   
   
  