FIMA Europe 2015 (past event)
10 - 11 November, 2015
10th – 11th November, 2015 | QEII Conference Centre, London
Connecting the Dots: Leveraging Smart Datasets to Effectively Drive Analytics, Data Aggregation, and Reporting
During the last 30 years, the financial services industry has predominantly relied on security-level identifiers (i.e., Tickers, ISINs, SEDOLs, CUSIPs, etc.) to consume, integrate, and expose content. Over that time, the industry has progressed and financial investing activities have moved beyond single asset class focused strategies.
Given this increased sophistication, the underlying symbologies used to represent securities, business entities, funds, and their corresponding relationships have failed to keep pace. The 2008 financial crisis exposed the shortcomings of security-level database architecture and made it clear that global regulators did not have the necessary scope of metadata or robust data connections available to effectively aggregate and measure risk exposures at an enterprise level. New regulations and reporting requirements mandated by jurisdictions across the world have further validated the need for enterprise-wide master sources of entity- and security-level reference data that can easily connect to all other datasets across a firm.
The industry is currently in the midst of a data connectivity "arms race". The financial institutions that can effectively leverage and connect their internal and external content assets, and aggregate these datasets at an enterprise level, are better positioned to uncover financial opportunities, drive risk aggregation, and ease compliance with regulatory reporting requirements. Utilization of connected content sets, or "smart data", can result in a significant competitive advantage.
Here, we outline FactSet's response to the shift to entity-centric content architecture as a way to manage and connect complex datasets across multiple asset classes and create smart data. The examples presented throughout this report provide specific working scenarios that demonstrate how FactSet leverages the content and symbology of an entity]centric infrastructure to help financial professionals expose, integrate, and consume content.
Thisarticle is produced byFactSet Research Systems Inc.2015.
Given this increased sophistication, the underlying symbologies used to represent securities, business entities, funds, and their corresponding relationships have failed to keep pace. The 2008 financial crisis exposed the shortcomings of security-level database architecture and made it clear that global regulators did not have the necessary scope of metadata or robust data connections available to effectively aggregate and measure risk exposures at an enterprise level. New regulations and reporting requirements mandated by jurisdictions across the world have further validated the need for enterprise-wide master sources of entity- and security-level reference data that can easily connect to all other datasets across a firm.
The industry is currently in the midst of a data connectivity "arms race". The financial institutions that can effectively leverage and connect their internal and external content assets, and aggregate these datasets at an enterprise level, are better positioned to uncover financial opportunities, drive risk aggregation, and ease compliance with regulatory reporting requirements. Utilization of connected content sets, or "smart data", can result in a significant competitive advantage.
Here, we outline FactSet's response to the shift to entity-centric content architecture as a way to manage and connect complex datasets across multiple asset classes and create smart data. The examples presented throughout this report provide specific working scenarios that demonstrate how FactSet leverages the content and symbology of an entity]centric infrastructure to help financial professionals expose, integrate, and consume content.
Thisarticle is produced byFactSet Research Systems Inc.2015.
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