Alternative Data for Private Equity Due Diligence

Executive Summary

Private equity due diligence traditionally relies on management information, financial statements, market research, customer interviews and specialist analysis. Alternative data can add another perspective by providing independent evidence about how a business, market or physical operation behaves outside the materials prepared for a transaction.

Potential applications include evaluating commercial activity, physical asset development, logistics exposure, supply-chain dependencies, competitive conditions and changes across locations. The value is not that alternative data replace conventional diligence. They can challenge, corroborate or contextualize the investment thesis.

For private equity investors, the strongest use cases arise when the data answer a specific diligence question and can be connected to an economic mechanism. More data alone do not create better diligence.

Key Takeaways

• Alternative data can provide evidence independent of management-provided information.

• The best use cases begin with a specific underwriting question.

• Physical-world data can be particularly useful for asset-heavy and infrastructure-dependent businesses.

• Alternative data should complement financial, commercial and operational diligence.

• Provenance, historical availability and interpretation remain essential.

What Is Alternative Data in Private Equity Due Diligence?

Alternative data are information sources outside the conventional financial reporting and transaction materials normally used to evaluate an investment.

Depending on the target, these can include:

geospatial observations, maritime activity, mobility data, transaction information, web data, public records, supply-chain information and other operational datasets.

Their value lies primarily in independence.

Management accounts explain the company from inside the business.

Alternative data may provide an external observation of some part of the same economic reality.

That creates opportunities for triangulation.

Start With the Question, Not the Dataset

A common mistake in alternative-data projects is beginning with:

What interesting datasets can we acquire?

Private equity diligence should usually begin somewhere else:

What uncertainty in the investment thesis are we trying to reduce?

For example:

Is the target's physical footprint actually expanding?

How concentrated is its upstream supply chain?

Is an important facility dependent on a vulnerable transport route?

Does observed operational activity support the growth narrative?

How cyclical is activity across the target's locations?

Only then should the investor ask which external data can contribute evidence.

This keeps alternative-data work connected to underwriting rather than turning diligence into data tourism.

Commercial Due Diligence

Commercial due diligence attempts to understand the market, competitive position, customers, growth potential and sustainability of a company's economics.

Alternative data can contribute by providing independent evidence around parts of these questions.

For a physical retailer, location-level activity data might help contextualize site performance.

For an industrial business, satellite observations may reveal facility construction or expansion.

For a logistics-sensitive company, vessel and port data can help assess trade patterns and transportation exposure.

For a manufacturer, supply-network data can illuminate supplier concentration or dependence on critical infrastructure.

None of these directly produce an investment recommendation.

They add another evidence layer.

Operational Due Diligence

For asset-heavy businesses, physical operations are central to valuation.

Alternative data can help analysts understand:

• facility footprints,

• infrastructure dependencies,

• project progression,

• logistics patterns,

• geographic concentration,

• exposure to physical disruptions.

This can be particularly useful when a company's value creation plan depends on capacity expansion, new facilities or operational improvements.

If an investment thesis assumes that a project has moved from planning toward execution, physical evidence of construction may strengthen confidence that the process is advancing.

But construction still does not establish successful commissioning, utilization or profitability.

The inference boundary remains important.

Supply-Chain Due Diligence

Supply-chain vulnerabilities often sit several layers away from the target company.

A business may appear diversified at the level of its direct suppliers while still depending indirectly on a concentrated raw material, logistics corridor or upstream producer.

Alternative data can help investors investigate:

Where do critical inputs originate?

Which ports or logistics corridors matter?

Are suppliers geographically concentrated?

Could several nominally separate suppliers depend on the same upstream infrastructure?

This shifts diligence from a list of vendors toward a model of operational dependency.

Physical-World Data as Independent Evidence

For businesses with substantial physical operations, Earth observation offers another useful property: repeatability across sites.

Satellite imagery can provide objective observations over time and across locations, including areas that may be difficult to monitor consistently from the ground. ESA describes this spatial and temporal consistency as one of the fundamental characteristics of Earth observation.

That can matter in due diligence on businesses with:

factories, mines, ports, logistics sites, energy assets or major construction projects.

But physical-world observation should never be presented as a magical proxy for financial performance.

The data describe selected aspects of the physical operation.

The analyst must establish the economic link.

What Can Be Observed?

Depending on the target and dataset, alternative data may provide direct evidence of:

physical expansion, facility construction, logistics changes, vessel movement, traffic patterns, public records, digital demand or other measurable activity.

This is the observational layer.

What Can Reasonably Be Inferred?

With business context, repeated observations may support conclusions such as:

A facility expansion described by management appears to be physically underway.

or:

A major part of the company's inbound supply network depends on a limited set of logistics nodes.

These are diligence-relevant conclusions because they connect observations to the investment thesis.

What Cannot Be Concluded From Alternative Data Alone?

Alternative data rarely establish:

• management quality,

• exact future revenue,

• sustainable competitive advantage,

• valuation,

• future market share,

• transaction attractiveness.

Those require broader diligence.

An active factory is not necessarily a profitable factory.

A growing physical footprint is not necessarily value-creating growth.

A strong external signal should sharpen the question, not replace judgment.

Alternative Data Across the Holding Period

Due diligence does not have to become irrelevant after closing.

McKinsey has argued that leading private equity firms increasingly revisit and refine their original diligence throughout the holding period rather than treating underwriting as a one-time exercise.

This creates an interesting second role for alternative data.

The same external measures used during diligence may later support periodic monitoring of assumptions underpinning the value creation plan.

For example:

Underwriting thesis: capacity expansion should drive growth.

External monitoring question: is the physical project continuing to progress?

Or:

Underwriting thesis: supply-chain resilience is improving.

Monitoring question: has operational dependence on key logistics nodes actually changed?

The value lies in continuity between thesis and evidence.

Data Provenance Matters

Alternative data are not automatically objective merely because they come from outside the target company.

Every dataset has a collection process.

Investors should understand:

• what is actually being measured,

• where the data originate,

• frequency,

• coverage,

• historical availability,

• revisions,

• missing observations,

• methodological changes.

This is particularly important if historical alternative data are used to support a backtest or compare the target's current state against earlier periods.

The historical record should represent what the data can genuinely support.

A Hypothetical Private Equity Example

Consider a fund evaluating an industrial company whose growth plan depends on a new production site.

Traditional diligence establishes:

management's expected completion schedule, budget, customer demand and forecast economics.

Physical-world analysis adds:

evidence about construction progression and surrounding infrastructure.

Supply-network analysis adds:

dependence on specific transport routes and critical upstream inputs.

Historical context adds:

how comparable operational activity has behaved during earlier periods.

None of these proves that the acquisition should proceed.

Together, however, they create a richer picture of execution risk.

That is where alternative data become useful.

Space Sat Lab Perspective

Space Sat Lab views alternative data in private equity primarily as a way to connect investment assumptions to independent evidence from the physical economy.

For asset-heavy companies, infrastructure and supply networks, this can mean observing changes that exist outside conventional company reporting and then asking how those changes relate to the investment thesis.

The objective is not to replace diligence.

It is to make parts of the thesis more observable.

Frequently Asked Questions

How is alternative data used in private equity?

It can support commercial, operational and supply-chain diligence by providing external evidence about markets, facilities, activity and dependencies.

Can private equity firms use satellite data?

Yes, particularly when the target or its key suppliers depend on observable physical assets, infrastructure or construction projects.

Does alternative data replace management information?

No. Its strongest role is usually corroboration, challenge or additional context.

Can alternative data be used after an acquisition?

Yes. Some datasets can support ongoing monitoring of assumptions established during diligence and the value creation period.

What is the biggest risk when using alternative data?

Misinterpreting what the dataset actually measures. External data can still create false conclusions if observation and inference are not separated.

Sources and Further Reading

McKinsey describes commercial and operational due diligence as central private-equity disciplines and has recently discussed continued "reunderwriting" during the ownership period.