Customers
PolarLake's list of clients includes:
Reduced Operational Risk
How can you leverage value of EDM? Purpose built solution to solve the Reference Data Distribution challenge in the financial markets arena
MoreFinancial Markets Spotlight
"Why ETL just isn’t good enough for Reference Data Distribution
ETL as a concept sounds very well suited to the world of Reference Data Distribution. Extraction, Transformation and Loading all sound like good things to do when distributing Reference Data. This is why a lot of the ETL vendors show up at the usual Reference Data conferences. It all sounds logical. And lots of Financial Institutions are using it for Reference Data Distribution, usually because there is an available license and it is notionally “free” to use.
However as the Reference Data Management discipline has matured IT staff have discovered that the reality of real world implementations differs dramatically from what seemed straightforward at the outset of an EDM implementation. "
- John Randles, CEO PolarLake, May 2009
PolarLake provides innovative integration technology and expertise to the Financial Services industry specializing in the areas of Reference Data Distribution, Fund Accounting System Integration, Data Quality Control, Trade Lifecycle Management, Reconciliation and message integration of multiple financial message formats (SWIFT, FpML, FIX, non-XML, CSV etc.).
PolarLake has been recognized by Industry Analysts as a leader in its space, named by Aite as the most packaged Reference Data Distribution solution, included in the Gartner visionaries quadrant in 2007 and named by Forrester as the best current offering in the ESB market. Clients include JPMorgan, Credit Suisse, Société Générale Securities Services, Dimensional Fund Advisors, Pioneer Investments, Unicredit, AIB Bank and Bank of Ireland Securities Services.
"TowerGroup collected survey data in late 2005 which noted participants’ opinion that roughly one-third of the effort of a data management project was associated with the distribution of that data; however we believe that number may be too low. Failure to understand and prepare for the data needs of downstream applications will doom a data management project from the start." - Matthew Nelson, Tower Group, Feb 2007
"While studies continually point towards increased EDM adoption, reality does not seem reflect demand. A major reason behind this, we believe, is the complexity and cost of integrating firms' downstream technologies. More efficient and effective integration tools would place EDM within reach for a wider array of firms helping them finally benefit of consistent and clean enterprise data at a cost-effective price." - Larry Tabb, The Tabb Group