Data Management
Scrutinizing Data Quality Needs
While data standards compatibility and firms' ability to work with data providers are key considerations for data quality, attention must also be paid to the role and purpose of the data in question
CITIC Bank International Selects Pricing Partners
State-owned bank will use software for pricing complex foreign exchange derivatives.
Alfred Berg AM live on VPD’s Flagship Risk, Reporting Platform
Nordic asset mamager will use VPD Risk & Performance to support its Global Investment Performance Standards (GIPS) reporting, attribution, and enterprise data management functions.
Exegy Expands Canadian Feed Coverage
Ticker plant vendor completes Canadian feed handler coverage to meet demand for Canadian trading venue access
Spearhead Bows Custom Exchange Policy Info Repositories
Software house enables firms to create and manage custom repositories of proprietary exchange contract data
ISE Taps Radianz for Volatility, Greeks Feed
Telecom giant offers "community cloud" model to access derived data feed more widely and at lower cost
JCV Lets Web-Based ‘Genie’ Audit Tool Out of Bottle
Audit specialist debuts web tool for exchanges to reconcile declarations and reports to support remote audits
Changing Data Quality Definitions
Will data quality be defined by grand notions of making multiple standards compatible, or will it evolve slowly through firms working with their providers?
RBS Calendar Data Service Forms Basis For New Company
Former Royal Bank of Scotland employees commercialize calendar data service they developed for the bank
SIX Telekurs Outsources Manual Data Input Through Capgemini
Strapline: Data Management
Bottega Hire Elevates CDO Role
Strapline: Data Management
Centralized Data: Analytics’ Friend or Foe?
The Pleasures and Pains of Centralized Data
Michael Shashoua: Central, But Not Inflexible
Centralization of data management to better support data analysis is gaining acceptance. Michael finds that the practice is becoming more nimble, and industry professionals are using or developing certain resources and technologies for central data…