Bloomberg has launched Enterprise Access Point, an online Open Data and Linked Data Platform that provides normalised 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 organisation, executives announced at the Bloomberg Enterprise Tech and Data Summit.
Bloomberg says Enterprise Access Point creates a ‘seamless online experience for financial organisations looking to leverage data for critical business decisions’. 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 standardised formats through one source, integration costs for customers are reduced, if not completely eliminated.
“Data fragmentation creates inconsistencies and mis-alignment across the enterprise, ultimately exposing organisations to unnecessary risks and costs,” says Gerard Francis (pictured), 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 realise bottom-line value across the enterprise.”
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,” says 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.”
