BigDataForFinance.com’s sister community – Low-Latency.com – just conducted an insightful Q&A with Rich Brown, who leads machine readable news programs at Thomson Reuters. It’s a topic that spans both low latency and big data, and you can read it here.
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
By Scott Schweitzer, Independent Consultant, LDA Technologies. Electronic exchanges play a vital role in the financial industry, providing a robust and trusted forum for trading and execution without issue. But even so, the technology available to exchanges has traditionally led to discrepancies in data distribution, from microseconds to nanoseconds, which can be critical for latency-sensitive...
Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
Entity data management is this year’s hot topic as financial firms focus on entity data to gain a better understanding of customers, improve risk management and meet regulatory compliance requirements. Data management programmes that enrich the Legal Entity Identifier with hierarchy data and links to other datasets can also add real value, including new business...
