Mosaic launches data normalization as stand-alone service

J.P. Morgan-backed Mosaic Smart Data is launching its data normalization process as a new stand-alone service. Mosaic will employ its technology and data model to process firms’ transaction data so that institutions can analyze activity in a given asset class at both the micro and macro levels in real-time. Institutions can aggregate data from across all their trading channels and streams into a single unified messaging language, providing a trusted data set that can be used both internally as well as shared with trusted third-party service providers.

The service cleanses, normalizes and enriches streaming data in real-time for all major FICC asset classes including cash and derivatives, and can be provided in the cloud or deployed on premises behind the client’s firewall. The resulting data is stored and made available via an API so data can be accessed remotely for both digital and distributed working.

Data normalization provides the foundation upon which effective analytics tools are built. The data is hygiene-checked, errors and inconsistencies are rectified, and enrichment consolidates the data sets. Without this crucial step, it is impossible for accurate real-time data analytics, machine learning or artificial intelligence to be applied across an institution’s entire transaction activity. Furthermore, this makes answering even simple questions impossible at any level higher than a venue-wide analysis.

Matthew Hodgson, CEO and founder of Mosaic Smart Data, said in a statement: “Inconsistent data inputs and storage are a huge challenge for institutions and hinder performance and profitability. Right now, it is impossible for many institutions to understand even quite simple information about their activity at the macro level because every venue records information differently. Normalization solves this problem. It is the foundation of understanding data and an absolute prerequisite to comprehensive, accurate and forward-looking analytics.”

Read the full release

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