Discover 'Ready-to-Use' Datasets on

Editorial & Advertiser disclosure

Global Banking & Finance Review® is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website.

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

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.

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

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.