IDQ offers an efficient set of processes and controls to guarantee the quality of data used throughout an investment management firm. IDQ is also capable of reconciling large volumes of data. The product is unique in the investment management industry in that it can simplify the integration of data, promote data quality and ensure more timely compliance and data governance. InvestTech has integrated IDQ into their Structured Project Methodology (SPM), which has led to accelerated timelines for converting and upgrading investment systems for their clients.
Commenting on InvestTechâs decision to partner with Irion, Jeremy Hurwitz, Co-founder and Principal of InvestTech, said, âI am very impressed with the versatility of the product, the intuitive user interface and the successful deployment in the international financial community. InvestTech has been leading the charge in the EDM and Investment Data Quality management space for the past ten years and we immediately recognized the application for IDQ as a cost-effective, multi-functional tool to support the entire data quality management life-cycle.
Mr. Hurwitz added that âthe integrated set of IDQ services supports data quality, reference data, data integration/distribution, data workflow management and even investment reporting services through a virtual data aggregation model.â
Alberto Scavino, Co-founder and CEO of Irion, added âWith InvestTech we are confident we have found a perfect match to serve the
investment management industry from both a financial knowledge perspective and a technology point of view. As the demand for data quality and EDM solutions in North America is growing, we are very pleased to partner with InvestTech in this strategic market. InvestTech possesses the right implementation expertise and experience to integrate IDQ with their clientâs business processes to benefit from a âbest of breedâ solution with a powerful ROI and risk reduction proposition.â
InvestTech has also adopted IDQ as their internal data integration framework to accelerate implementation projects, create automated data adaptors, reconciliation and audit control for data conversions procedures.