Bloomberg, a global business and financial data, news, and analytics provider, has launched Enterprise Access Point, an Open Data and Linked Data website for Bloomberg Data License clients. The website provides a single access point for a number of "ready-to-use" datasets. And clients can search for specific datasets, view dataset metadata, and trial sample datasets before purchase. The website also allows clients to use a RESTful API to programmatically retrieve complete and comprehensive data from Bloomberg's publishing platform.
"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, in a prepared statement. "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."
Bloomberg Enterprise Access Point provides access to a variety of normalized datasets. Among the types of datasets available are regulatory, pricing, and reference. The data is available as CSV dataframes which support technologies such as Jupyter and Python Pandas. The Linked Data is available in a graph format for use cases involving artificial intelligence (AI). Bloomberg's RESTful Hypermedia API allows URL consistent data to be fed to enterprise software systems as well as machine learning tools and models.
"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, in a prepared statement. "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."