Latest News
PolarLake announces partnership with OnixS to extend Market Data and Front Office capabilities
Published June 22, 2010 in
Dublin, London June 22nd 2010. PolarLake today announced that they have agreed a partnership with OnixS allowing PolarLake to support a range of OnixS Direct Market Access Market Data and Trading Handlers. The OnixS solutions provide high performance calibrated and certified access to a wide range of exchanges, ECNs and brokers based on FIX standards and proprietary API’s.
PolarLake to exhibit at SIFMA Financial Services Technology Expo in New York
Published June 8, 2010 in
Dublin 8th June 2010. PolarLake will exhibit at this year’s SIFMA Financial Service Technology Expo June 22-24 Hilton New York Hotel as focus of Reference Data Management is firmly fixed on getting value from existing Data Management systems and delivering on the promise of EDM.
PolarLake to exhibit at North America Financial Information Summit as Integration takes centre stage in Reference Data Management
Published April 23, 2010 in Press Releases
PolarLake will exhibit at this year at the Financial Information Summit in New York on May 26th.
“PolarLake is delighted to be exhibiting at the North America Financial Information Summit. We see the Reference Data Management industry now focused on the end to end supply chain and integration of Pricing and Reference Data. This is directly driven by the current focus on counterparty risk and regulatory compliance as risk managers and regulators want to see an end-to-end data process, not just islands of data. This event gives us a gives us a great opportunity to meet with people in real projects often struggling under the weight of integration complexity often driven by using generic ETL / EAI technology” says John Randles CEO PolarLake.
PolarLake announces Reference Data Policy Engine based on Semantics Technology
Published March 15, 2010 in Press Releases
PolarLake today announced the availability of the PolarLake Reference Data Policy Engine within the PolarLake RDD (Reference Data Distribution) product. The Policy Engine uses semantics technologies embedded within a Business Application to enable Business Operations and Technical Staff to define Reference Data usage control policies such as:
- Data access control policies based on user and application profiles
- Routing policies and priorities, such as what the downstream update order is for new issues or issuers
- Data usage quotas to ensure appropriate and controlled use of data
- Expected delivery schedules and exception escalation paths
- Take-on of new data feeds via a soft model without the need to rebuild the system
-
Ability to learn and adopt the model based on observing of change in data patterns over time
2012