Bloomberg has introduced Alternative Data Entitlements within its ALTD platform on the Bloomberg Terminal, reflecting a broader institutional shift towards embedding alternative data directly into established research workflows rather than treating it as a standalone input.
The new entitlement capability enables Bloomberg Terminal users to access faster, more granular alternative data analytics from specialist providers directly within the ALTD environment. At launch, Bloomberg is supporting entitled datasets from Placer.ai and Similarweb, allowing clients who already subscribe to those providers to unlock enhanced analytics and reduced data latency inside the TerminalFrom experimentation to workflow integration
As alternative data has moved from niche experimentation to wider adoption across the buy side, firms have increasingly faced challenges not around sourcing data, but around integrating premium datasets into governed, repeatable research processes. Bloomberg’s introduction of entitlement-based access is positioned as a response to this shift, providing a structured mechanism for incorporating high-value third-party data into the same analytical context as traditional market data, estimates, news and charts.
“There is far more data available today than ever before,” Richard Lai, Global Head of Alternative Data at Bloomberg, tells TradingTech Insight. “It’s no longer just about financials and estimates. Investors are now looking at credit card data, mobile and geolocation data, web traffic data, and so on. It’s all about accessing faster data and deeper data. At Bloomberg, our focus is on how we bring more of this high-fidelity, high-speed, deeply analytical data into our investment research solutions on the Bloomberg Terminal and provide clients with faster, more granular insights than were previously available.”
ALTD, Bloomberg’s alternative data analytics platform, already supports more than 5,000 KPI estimates designed to nowcast company-reported metrics. With Data Entitlements for ALTD, Bloomberg is expanding both the depth and timeliness of those estimates, allowing entitled users to receive certain alternative data-derived KPIs within three to five days, compared with seven to fourteen days for non-entitled users.Latency as a differentiator
The reduction in data lag is a central element of the announcement. Faster nowcasting of KPIs is intended to give investment teams earlier visibility into changes in company performance, particularly in the run-up to earnings. By delivering more timely signals across a broader universe of company-reported metrics, Bloomberg is positioning alternative data as a tool for identifying inflection points and potential earnings surprises, rather than as a purely retrospective analytical input.
“Take Placer.ai for example, which provides cell phone location data,” says Lai. “If you’re a Placer.ai subscriber and you use Data Entitlements for ALTD, you’ll get a version of their data on the Bloomberg Terminal more than a week earlier than you would otherwise. A week is actually a very long time in markets, so that’s alpha.”
The platform also enables deeper trend analysis by combining entitled datasets with Bloomberg’s existing analytics. Metrics such as web traffic, digital engagement and footfall can be analysed alongside traditional financial indicators, supporting more detailed peer benchmarking and stronger conviction in long/short strategies or relative value assessments.
A control layer for a fragmented ecosystem
Rather than attempting to replace specialist alternative data vendors, Bloomberg’s approach positions the Terminal as an orchestration layer between data providers and end users. By embedding premium datasets directly into its analytics stack, Bloomberg aims to reduce friction for research teams while preserving existing commercial relationships between clients and data vendors.
“We view ALTD as a platform and a connector,” notes Lai. “Our role is to find the richest sources of data and make them available within our clients’ research workflows. For investment firms, the problem isn’t finding the data; it’s making sense of it. That’s where we add value. We bring in the highest-quality data providers and then transform that raw data into analytics that investors can actually use. That analytical layer is where we deliver significant value to our clients.”
Entitled alternative data flows through Bloomberg’s broader research and analytics ecosystem, including company financials, broker estimates and charting tools, making alternative data more discoverable and easier to compare with traditional KPIs in near real time. Bloomberg also highlights availability across APIs, BQuant Desktop, Research Management Solutions (RMS) and enterprise data offerings, reinforcing its focus on consistency across desktop and programmatic workflows.
Scaling alternative data usage
At launch, Placer.ai and Similarweb are the primary datasets supported under the entitlement model, but Bloomberg has indicated plans to expand the universe of entitled alternative data providers over time. As institutional clients look to scale alternative data usage across teams while maintaining governance and consistency, entitlement-based access may become a key mechanism for bringing high-value datasets into mainstream research environments.
“What we’re aiming to do is connect clients with richer datasets across the research lifecycle, embedding alternative data more deeply into everyday workflows,” concludes Lai. “This release allows us to scale that approach significantly.”
Subscribe to our newsletter
