AMB has been chosen by North Shore Credit Union as their data quality provider to cleanse their old system data as part of their data governance program. The tight integration with ETL tools and the availability of integrated SOA components and tools usable by their stakeholders was a key differentiator for choosing AMB.

"NSCU, a mid-sized Canadian credit union with 44,000 members and 12 branches, has embarked on a banking software conversion. In preparation for the conversion, the Data Migration team looked for a Data Quality and Data Profiling tool that would help to cleanse data from the old system and complement the ETL process for Business Intelligence. Looking for a tool that would provide a cost-effective solution and integration with Microsoft technology, NSCU chose AMB's Predictive Data Management SOA solution. This tool, armed with Microsoft SSIS integration and InfoExpose, provides excellent insights into the data and real-time analysis for duplicates and sigma deviations, helping not only with the data migration, but fraud detection as well, a critical task for any financial institution. In an industry dominated by players like Informatica and Trillium Software, AMB's Predictive Data Management solution proved to be the best fit for us," states NSCU.

Headquartered in North Vancouver, North Shore Credit Union offers banking, insurance, investment and business services.

Steve Meister, President of AMB, states, "I welcome NCSU as a valued customer, as AMB continues to expand our goal to provide unparalleled data profiling and governance solutions to the marketplace that significantly improve the state of data quality present in many organizations. AMB will continue to be the leader in technology and customer satisfaction while delivering enormously beneficial and affordable solutions that allow our customers to obtain viral participation in their data governance programs that deliver on the promise of trustworthy data."

AMB's SOA engine accessed through their proprietary InfoExpose client workbench, and providing tight integration into Microsoft, IBM and Informatica ETL platforms, has been highly acclaimed by AMB customers, who benefit from unique capabilities such as identifying and dispensing with outliers as part of the governance discovery process using a visual match merge data cleansing tool integrated into a fully documented audit trail. This provides end-users with a tool to administer data governance no more complex to use than Excel, and integrates data profiling through in-stream governance capabilities delivered through AMB's Predictive Data Management SOA methodology.

Mark Albala, a data governance practitioner, author and AMB Advisory Board Member states, "The tight integration of tools and process delivered by AMB's Predictive Data Management suite and remarkable ease of use, make PDM a knockout solution for data governance. Being able to integrate data profiling and cleansing tools as an in-stream component of an overall governance program to administer a repeatable process, is what this industry has promised all along. I am pleased to serve on the board of AMB because Predictive Data Management delivers on this promise."