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Data Website From Bloomberg Offers Clients Access to Alternative Data

Data License clients can now easily access data from market leading alt data providers through Bloomberg Enterprise Access Point.

March 1, 2019 Lisa Montgomery Leave a Comment

data

Data is the lifeblood of any company. You need accurate, detailed information from reliable sources to stay ahead of the game. Bloomberg is making it easier to access that information via its new “ready-to-use” data website, Bloomberg Enterprise Access Point. Adding alternative datasets allows Data License clients to easily access and incorporate new, non-traditional forms of high-quality data from Bloomberg and market leading alternative data providers including Thasos, Apptopia, TipRanks, PredictWallStreet, RS Metrics, Orbital Insight, OWL Analytics, Predata, Evaluate, 280First and Symphony Pharma.

Financial firms are increasingly using previously cumbersome, inconsistent, non-traditional data to inform their investment decisions and risk management strategies. While firms recognize the value of newer datasets for alpha generation, they face challenges like data connectivity, varying quality and ease-of-use. By offering clients a singular access point for finding and receiving reliable data, alternative and otherwise, Bloomberg eliminates costly and lengthy procurement processes, speeding up time to value and enabling easy integration to existing systems.

“Our clients are looking to integrate alternative data into their investment process. As Bloomberg is a leading source of reference and pricing data, the integration of alternative data into the same Bloomberg Enterprise Access Point and Hypermedia API is compelling,” says Gerard Francis, global head of enterprise data at Bloomberg. “We make it easier for our clients to contract, ingest, test and normalize their alternative data. Firms can come to one destination for data that can meaningfully inform investment strategy.”

Currently, Bloomberg Enterprise Access Point features more than 20 alternative datasets with plans to add many more over the next year. Datasets include insight on metals inventory, equities blogger sentiment, drug approvals, consumer footfall and parking lot activity, construction permits, geopolitical risk, and app utilization.

Bloomberg Enterprise Access Point for Quants

Alternative datasets are available in raw formats that can be easily integrated into data models. Quant investors can seamlessly choose their programming languages, interfaces, and database software.

An alternative data catalog, available through Bloomberg Enterprise Access Point, eases the burden for internal data procurement teams who are tasked with contacting vendors, reviewing data samples and history and testing data connectivity. This streamlines data acquisition and ensures consistent delivery.

Thasos, Apptopia and TipRanks Offer Data through Bloomberg

For alternative data vendors, Bloomberg offers a leading data access point with legacy data relationships and existing data licenses that are well understood in the financial services ecosystem. By offering datasets through Bloomberg Enterprise Access Point, vendors can reach Bloomberg’s clients across the buy- and sell-side.

Geolocation-based data intelligence provider Thasos turns real-time locations from hundreds of millions of mobile phones worldwide into objective and actionable insights for investors. Their MallStreams product provides customer foot traffic, demographic, and loyalty information on properties owned or operated by the 30 largest publicly traded retail REITs.

Mobile app intelligence firm, Apptopia offers app data metrics, including downloads, active users, in-app revenue, session volume and length.

Financial analytics and big data analysis firm TipRanks applies natural language processing to analyze the recommendation patterns of financial influencers across the internet. The firm provides a live channel into the mindset of financial thought leaders and their impact on the investment decisions of individual investors.

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Tagged With: Data Collection, Data Security, Technology

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