Risk Data: Best Risk Datasets & Databases
What is Risk Data?
Risk data refers to information that helps identify, assess, and manage various types of risks. It encompasses a wide range of data points and indicators collected from multiple sources, providing insights into potential hazards and uncertainties.
Examples of Risk Data include historical market data, credit ratings, financial statements, insurance claims data, and cybersecurity threat intelligence. Risk Data is used for assessing and managing potential risks, making informed decisions, and developing risk mitigation strategies. In this page, you’ll find the best data sources for various types of risk data.
Best Risk Datasets & APIs
Biodiversity Proximity Risk Data | Climate Risk Data | 14k+ companies | IBAT Partnership
GapMaps Environmental Risk Data by AGS | USA | Census Block Level
Opoint Trade Credit Risk Data | Web Data | Global Risk Data | 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions | Risk Management
Bad Security Posture Indicators | Global Cyber Risk Data |5 Year Historical, Daily Refresh
ESG Data API | ESG Risk | Alternative ESG Data | 3.5M+ daily news articles
Daily Footfall Data | Location Data | Risk Analysis Data for Investors | UK-wide | 2.7K+ Retail Centres | 600+ Customers
Weather Source: OnPoint Risk Analytics - Flooding, Hurricanes, Wildfires and More
Datazag: Global Cyber Risk Data | Email Address Validation
EDI Swaption Volatility Data | Credit Default Swaps (CDS) Data | Interest Rate Volatility Data for Valuations, Portfolio Analytics & Risk Management
CustomWeather | Flood Risk Data | 5-Day Ahead Flood Outlook PDFs | Map Data| Severe Weather Data | Weather Forecasts | Storm Data
Monetize data on Datarade Marketplace
Risk Data Use Cases
Frequently Asked Questions
How is Risk Data collected?
Risk data is collected from various sources such as government agencies, research institutions, industry reports, specialized data providers, and open data initiatives. These sources gather and analyze data related to financial, operational, environmental, cybersecurity, and other risk factors.
What is Risk Data used for?
Risk data is used to make informed decisions, develop risk management strategies, and mitigate potential hazards. It aids in assessing financial risks, evaluating market volatility, predicting natural disasters, analyzing cybersecurity vulnerabilities, ensuring regulatory compliance, and maintaining a positive reputation.
What’s a quality checklist for Risk Data?
A quality checklist for risk data may include factors such as data accuracy, relevance, completeness, timeliness, consistency, and reliability. It involves verifying the data sources, evaluating the data collection methodologies, assessing data quality controls, and ensuring data integrity throughout its lifecycle.
How is Risk Data priced?
The pricing of risk data varies depending on several factors, including the data provider, the type and depth of data, the level of analysis and insights provided, and the target audience. Pricing models can range from subscription-based services, customized data packages, or pay-per-use arrangements, considering the value and market demand for the risk data.
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