Haver Analytics company overview
About
Expert Vetted Data
Public disclosures rarely capture a company's internal dynamics or the true state of its technology. Gain first-hand insight by speaking with former Haver Analytics executives.
Ownership & Key Financials
Revenue
Revenue / FTE
Ownership
FTEs
Key Business Breakdowns
Products & Services
Data Delivery & Integration (Analytics Software & Enterprise Connectivity)
Flexible data delivery software and APIs (cloud feeds, RESTful API, client-server & Excel integration) for corporate clients and developers to incorpo•••• ••••• •••• •••• ••••••••• •••••••••.
Research & Consulting Services
•••••• •••••••• •••••••••• ••• •••••• •••••••• ••• •••••••••• ••••••••, ••••••••• •••••••••••• ••• •••••••• •• ••••••• ••••••••• ••••••••-••••••.
Economic & Financial Data Platform (Proprietary Data Solutions)
Comprehensive global macro and market data (primary-sourced time series across advanced and emerging economies, sectors, commodities and ESG) for inst••••••••• ••••••••••• ••• ••••••••••• •• ••••••• ••••••••••••• •••••••• ••• •••••••••••.
Pricing & Go-to-market
Typical Contract Length
•. • ••••.
Pricing model
Recurring revenue comes from database subscriptions that include access to the DLX platform, Enterprise connectivity, and technology. One-off revenue ••••• •••• •••••••••••••• •••• ••• •••••••••••• ••••••••. ••••••• •• ••••• •• ••• •••••• •• ••••••••• •••••••••.
Average Sales Value
$••••-$••••.
Growth Review
Customer Overview
c. 65 large customers, primarily within the financial services, consulting, government, and technology industry verticals. Target customers include he••• ••••• ($••-$••• •••), ••••••••• •••••••• (•••), ••••• •••• •••••••• (••••), ••• •••• •••••••••• •••••• ••••• ••••• •••••••••• •••••.
Customer Concentration
• ••••• •••••• •• ••••••• •••••••••• ••••••••••••• •• •••••••, •••• •• ••••• ••• ••••• •••••••• •••••••••••• •. ••% •• ••••• •••••••.
Customer Retention
•••-•••% •••.
| Company Name | Revenue | FTE | Proprietary Insights | HQ | Ownership Type |
|---|---|---|---|---|---|
 Haver Analytics | - | ••• '•• | - | USA | F•••••••••••• |
 Knoema | - | - | - | - | - |
 Oxford Economics | - | - | - | - | - |
 Macrobond | - | - | - | - | - |
| M moody's-analytics | - | - | - | - | - |
 CEIC Data | - | - | - | - | - |
 Thomson Reuters | - | - | - | - | - |
 Fitch Solutions | - | - | - | - | - |
| $2•••m '•• | ••,••• '•• | - | USA | P••••• |
Experts highlight Haver Analytics's technical capabilities and platform strength, while noting integration execution as a potential constraint.
What does Origin provide on Haver Analytics?
Origin provides a structured company snapshot of Haver Analytics, combining expert-led insights with analysis across business model, customers, competitors, and market dynamics. The profile is designed to support research, competitive analysis, and commercial due diligence workflows.
How is Origin's analysis of Haver Analytics different from traditional company databases?
Traditional company databases often focus on surface-level metadata such as ownership, funding, and company descriptions. Origin complements these sources with qualitative insights informed by expert interviews, helping teams understand how Haver Analytics operates, competes, and creates value in practice.
Is Origin suitable for researching private companies like Haver Analytics?
Yes. Origin is built to support research on private companies, where public information can be limited or inconsistent. It focuses on insight depth and operational context, which can be useful when evaluating companies like Haver Analytics for investment, partnership, or competitive analysis.
Where does Origin's information on Haver Analytics come from?
Origin insights are derived from expert interviews conducted by Dialectica, combined with structured analysis and secondary validation where appropriate. This approach prioritises first-hand operational perspectives alongside supporting evidence, rather than relying solely on aggregated public data.
Can Origin support commercial due diligence on Haver Analytics?
Origin can support early-stage commercial due diligence by helping teams quickly understand positioning, value drivers, customer dynamics, and potential risks related to Haver Analytics. It is typically used to shape hypotheses and focus areas before deeper primary research.
How does Origin compare to Crunchbase or PitchBook for analysing Haver Analytics?
Crunchbase and PitchBook primarily focus on company metadata, ownership, funding history, and transactions. Origin complements those sources by adding qualitative, insight-led analysis focused on business fundamentals, go-to-market execution, customer reality, and competitive positioning for companies like Haver Analytics.
What does Origin typically reveal about pricing and go-to-market strategy for enterprise software companies like Haver Analytics?
For enterprise software, Origin often focuses on pricing logic, contract structure, buyer personas, procurement friction, and channel strategy. For companies like Haver Analytics, this can help teams assess how revenue is created, what drives expansion, and where sales cycles or retention may impact outcomes.
What makes Origin's approach to company research different?
Origin combines expert interview insights with structured analysis to provide operational context that traditional databases miss. For Haver Analytics, this means understanding not just what the company does, but how it actually operates, competes, and creates value in its market.
Relevant Companies
Anaconda, Inc.
Open-source distribution for Python and R programming solutions integrated with over 1,500 packages for data analysis, visualization, and machine learning.
HQ
Ownership
Investors
Fivetran
Data integration platform for teams across retail, financial services, healthcare, and media to extract and load data from various sources into cloud data warehouses for analytics and reporting.