What is alternative data?

Alternative data is transforming the way businesses, investors and researchers gain insights and make decisions. At its core, alternative data refers to information gathered from unconventional, non-traditional sources. It complements market data, such as stock prices or government statistics, by offering a fresh lens through which to understand trends, behaviors and outcomes.

Why alternative data matters?

Data is all around us. Every action we take – whether visiting a website, swiping a card or traveling with a smartphone – leaves a digital footprint. Market datasets, like financial filings or market indices, have long been staples for decision-makers. However, alternative data goes a step further by leveraging less structured and often real-time sources such as satellite imagery, social media sentiment or geolocation data.

Imagine this: satellite images tracking activity at retail parking lots to predict quarterly sales or sentiment analysis of social media posts revealing public opinion on emerging brands. These are just a few ways alternative data provides a competitive edge.

Who uses alternative data?

While alternative data began as a tool for quantitative hedge funds, its appeal has expanded dramatically. Today, a diverse array of users – from investment managers to corporations and consulting firms – rely on alternative data to:

  • Anticipate market trends
  • Assess company performance
  • Understand consumer behavior
  • Identify environmental, social and governance (ESG) risks
  • Optimise strategic decision-making

The growing adoption of alternative data is reshaping industries, enabling data-driven decisions that go beyond the capabilities of traditional information.

Types of alternative data

One of the most exciting aspects of alternative data is its diversity. The types of datasets available are as varied as the questions they help answer. Some key categories include:

Consumer transaction data
Insights into purchasing patterns, providing visibility into economic health and company performance.
Crowdsourced data
Information gathered directly from individuals, often through apps or platforms, to capture trends or behaviors.
Economic data
Macro- and microeconomic indicators, such as employment rates or GDP, providing insights into the overall health of economies.
ESG data
Metrics tracking environmental, social and governance factors, often crucial for sustainable investing.
Event data
Data related to specific occurrences, such as product launches or corporate events, which can signal shifts in market sentiment.
Geolocation data
Movement patterns derived from smartphone signals, useful for tracking consumer activity and migration trends.
Internet of Things (IoT) data
Sensor-based data from connected devices, offering real-time insights into operations and consumer usage.
Location data
Data derived from GPS or similar technologies, helping businesses track movement patterns and traffic to specific locations.
News data
Insights from media sources to track market-moving stories or public discourse.
Satellite and aerial data
Imagery from above, providing detailed views of activity, such as agricultural output or urban development.
Search data
Information from search engine activity, revealing trends in consumer interest and behavior.
Sentiment data
Analysis of public opinion through news articles, reviews or social media posts, offering insights into brand perception and market sentiment.
Social media data
Analysis of platforms like Facebook, Instagram, TikTok or X to understand public sentiment and emerging trends.
Surveys and polls
Aggregated responses from targeted groups to gauge opinions, preferences or forecasts.
Weather data
Historical and real-time weather information, which can impact industries like agriculture, retail or transportation.
Web and app tracking
Detailed data on digital behavior, including website visits and app usage.
Web-scraping data
Extracted information from websites, offering structured insights from publicly available sources.
Other data
Unique or niche datasets that don’t fit into standard categories but offer valuable insights. Examples include experimental research data or data collected through innovative methodologies.
Flow data
Tracks movements in financial markets, such as fund flows, to reveal investor sentiment and behavior.
Fundamental data
Company-level information, including earnings and financial statements, to assess organizational performance.
Financial products data
Information on financial instruments, including derivatives and structured products, offering deeper insights into market trends.

Why is alternative data relevant to businesses now?

Advances in technology, coupled with the explosion of connected devices, have made alternative data both more accessible and more impactful. As more of consumers’ lives and businesses’ activities move online, the availability of unique data sources grows exponentially, opening doors to new opportunities for analysis and insight generation.

How Neudata can help


Neudata is at the forefront of the alternative data revolution, connecting data buyers with the right datasets to unlock value. Whether you are an experienced data user or new to this world, we provide the expertise and platform to help you navigate the complexities of sourcing, analysing and utilising alternative data. Our flagship products, such as Scout and Ranger, are designed to streamline the process of discovering and utilising alternative and market data.

Let us guide you on your alternative data journey. Request a demo to discover how our platform can transform the way you make decisions.

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