Centralized Data: Analytics’ Friend or Foe?

The Pleasures and Pains of Centralized Data

norman-brower

Centralization and consolidation of data for the purpose of supporting data analytics is proving to be multi-leveled in nature, presenting key technology personnel with the challenge of reconciling messaging standards as well as data processing and resource management, according to financial firms’ technology personnel and service providers.

The lack of standardization still evident in securities identifiers (LEI implementation notwithstanding) and trade messaging standards are a major challenge

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: http://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

Nasdaq reshuffles tech divisions post-Adenza

Adenza is now fully integrated into the exchange operator’s ecosystem, bringing opportunities for new business and a fresh perspective on how fintech fits into its strategy.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here