Bloomberg announced the launch of Data License Plus (DL+), a new managed service which aggregates a client’s Bloomberg data into a single dataset and enables users to explore and interact with the data through a web-based user interface. DL+ enhances the client experience by making Data License data easier to use throughout the client enterprise while reducing clients’ data processing efforts.
In addition to the inevitable challenges that arise when managing large volumes of data across various asset classes, financial professionals are also facing new problems associated with the global COVID-19 pandemic, including historic market volatility, remote access limitations and disrupted workflows. In an effort to provide Data License clients with more transparency and a centralized view of their data in the current environment without adding the burden of a heavy implementation, Bloomberg has accelerated the release of its new DL+ service. In the current work from home environment, DL+ gives users the ability to access their Bloomberg Data License content from anywhere, while also making the data easier to use by presenting it in an aggregated, linked and organized structure.
“Bloomberg Data License is a market leading source of reference and pricing data.” said Gerard Francis, Global Head of Enterprise Data at Bloomberg. “Bloomberg is excited to introduce Data License Plus which elevates Data License to the next level by solving common challenges for our clients that struggle to aggregate data and make it available throughout their firms.”
By subscribing to the DL+ service, clients can reduce the effort required to monitor and process Bloomberg Bulk datasets, merge multiple datasets into a single unified Bloomberg dataset and distribute consistent Bloomberg data to systems, applications and users. The data is automatically linked across datasets and legal entities, instruments, markets and prices making the data easier to access and use.
Bloomberg’s Enterprise Data business produces high-quality pricing, reference and regulatory datasets, real-time market, event and news data, and liquidity analytics along with data management and distribution technologies.