Bloomberg Launches Linked Open Data Website to Help Firms Derive Value and Enterprise-wide Efficiencies

Enterprise clients, developers and data scientists can easily discover and act on 'ready-to-use' datasets now available via Bloomberg's Enterprise Access Point

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Bloomberg

Sep 12, 2018, 08:30 ET

NEW YORK, Sept. 12, 2018 /PRNewswire/ -- Bloomberg today announced the launch of Enterprise Access Point, an online Open Data and Linked Data Platform that provides normalized reference, pricing, regulatory and historical datasets for Bloomberg Data License clients. Available through the new website, clients can now browse quality data online, examine the metadata, trial sample datasets prior to acquisition, and immediately put them to use within their organization, executives announced at the Bloomberg Enterprise Tech and Data Summit.

Enterprise Access Point creates a seamless online experience for financial organizations looking to leverage data for critical business decisions. For the first time, Data License clients can directly program against Bloomberg's comprehensive historical data, servicing the growing needs of data science.

As users of financial data increase in sophistication, they expect a self-service model for discovering and browsing data catalogs, and connecting their data tools directly to data publishers. Enterprise Access Point allows users to connect their enterprise systems directly to Bloomberg's publishing platform, through a RESTful API, and receive complete and comprehensive data. By delivering data in clean standardized formats through one source, integration costs for customers are reduced, if not completely eliminated.

"Data fragmentation creates inconsistencies and misalignment across the enterprise, ultimately exposing organizations to unnecessary risks and costs," said Gerard Francis, Global Head of Enterprise Data at Bloomberg. "Having a single access point for trusted data not only creates a new standard for quality, it also accelerates the client's ability to realize bottom-line value across the enterprise."

Data for Developers & Data Scientists
For data scientists, the information provided via Enterprise Access Point is available as CSV data frames and supports multiple technologies including Jupyter and Python Pandas. For professionals leveraging artificial intelligence (AI), the Linked Data is also available in a graph format. Web developers using Enterprise Access Point also benefit from Bloomberg's RESTful Hypermedia API, which allows URL consistent data to feed directly into an enterprise's software components, including machine-learning tools, with minimal friction or delay.

"Having access to deep data history is critical for any investing or business governance strategy based on data science insights," said Matthew Rawlings, Chief Data Officer for Bloomberg's Enterprise Data department. "By providing consistent data feeds along with history through API protocols, Enterprise Access Point allows scientists to apply data models with greater confidence and efficiency."

Enterprise Access Point is part of Bloomberg's Enterprise Data business, which produces high-quality pricing, reference and regulatory data sets, real-time market, event and news data, liquidity analytics along with data management and distribution technologies. For more information about Bloomberg's Enterprise Access Point, please visit: eap.bloomberg.com.

About Bloomberg
Bloomberg, the global business and financial information and news leader, gives influential decision makers a critical edge by connecting them to a dynamic network of information, people and ideas. The company's strength – delivering data, news and analytics through innovative technology, quickly and accurately – is at the core of the Bloomberg Terminal. Bloomberg's enterprise solutions build on the company's core strength: leveraging technology to allow customers to access, integrate, distribute and manage data and information across organizations more efficiently and effectively. For more information, visit www.bloomberg.com or request a demo.

SOURCE Bloomberg