Bureau data helps firms understand credit history, risk, and repayment behaviour, which is why it’s so widely used across financial services. Customers move faster than traditional data cycles, though. Contact details change, employment changes, affordability changes, and vulnerability can emerge long before they appear in a credit file.
That’s why bureau data vs alternative data has become a serious buyer conversation. In one industry survey, 90% of lenders said access to more alternative data would help them approve more customers, yet 78% still rely on traditional credit data as their main risk tool.
This guide breaks down where each source adds value, how they work together, and what buyers should ask before choosing a provider.
For decades, CRA data has helped lenders, collections and recoveries teams, and financial services organisations understand how consumers manage credit. If you want to see repayment history, outstanding credit commitments, utilisation levels, or public record information, bureau data is one of the most trusted sources available.
That’s exactly what it was built to do.
The challenge is whether every decision relies on historical credit information alone.
→ Related reading: How to combine bureau and alternative data without rebuilding your whole strategy
A credit file is incredibly useful, but it wasn’t built to capture every aspect of a customer’s life. Its job is to record credit-related activity. That includes borrowing, repayment behaviour and public record information. Naturally, there are other events that sit outside that scope.
Each of these events can influence customer outcomes, affordability and engagement. Yet they may not appear immediately within traditional credit bureau data.
And that’s where alternative data comes in.
As Ben Calvert, Commercial Director, at Coeo UK puts it; “Instead of periodic updates, we’re now working with real-time information. This means our strategies are always based on the latest customer data, which is crucial for digital engagement.”
This is also important for vulnerability, Consumer Duty and earlier intervention strategies. A customer’s circumstances can change quickly, and some of the most useful insights come from understanding what’s happening now, rather than what happened several months ago.
In fact, the FCA’s Financial Lives 2024 survey found 26.4 million UK adults, 49% of the population, had characteristics of vulnerability. The people most likely to struggle were those hit by an income shock or a relationship breakdown, the kind of change a credit file is slow to pick up.
This is one of the reasons alternative data has become a growing area of interest. It helps organisations access information beyond the credit file, providing additional context about the customer’s current situation.
For most organisations, the real consideration is which source provides the most useful insight for a particular task. Both play an important role in customer decision-making, although they tend to answer different operational questions.
The above table highlights why many organisations now use multiple data sources across the customer lifecycle.
A collections team focused on engagement may prioritise contactability and employment insights. A vulnerability team may need visibility of affordability pressures or characteristics of vulnerability. A lender assessing repayment behaviour is likely to place significant weight on credit history and existing credit commitments.
The most effective approach starts with understanding the decision being made and then selecting the data source that provides the most relevant insight.
Credit bureau data tends to be the starting point for many customer decisions, particularly when understanding how someone has managed credit over time. If the objective is to assess borrowing behaviour, existing financial commitments or historic repayment performance, bureau data provides the strongest foundation.
✓ Assessing creditworthiness and lending risk
✓ Reviewing repayment history and account performance
✓ Understanding existing credit exposure
✓ Identifying CCJs, defaults and insolvencies
✓ Supporting identity verification and fraud prevention
✓ Monitoring long-term financial behaviour
These decisions rely on established financial records and verified credit activity. That’s where credit bureau data continues to provide significant value.
But for many organisations, the challenge is understanding whether historical credit behaviour tells the whole story. A customer may have managed credit well for years while experiencing a recent change in employment, income or personal circumstances that has yet to appear elsewhere.
That’s where additional data sources often become useful.
Some decisions depend less on what happened historically and more on what is happening right now.
A collections team trying to reconnect with a customer doesn’t necessarily need another view of their credit history. They need accurate contact information.
Take it from Daniel Calcott, Founder, at The Digital DRA; “With enhanced data, we can efficiently connect with more customers through their preferred digital channels, ensuring a smoother resolution process without additional operational strain.”
Similarly, a vulnerability team may need visibility of a recent change in circumstances. And an onboarding team may need to verify someone who has little or no traditional credit footprint.
That group is larger than many firms expect. Experian estimates more than 5 million UK adults, around 9% of the population, are effectively invisible to the credit system because there isn’t enough information to assess them.
In these situations, alternative data often provides extremely valuable additional context.
✓ Improving customer contact rates
✓ Verifying current employment information
✓ Understanding affordability pressures
✓ Identifying characteristics of vulnerability
✓ Detecting changes in circumstance
✓ Supporting customers with limited credit histories
✓ Prioritising early intervention strategies
The common thread is timing.
Many operational decisions rely on understanding the customer’s current situation rather than their historical financial behaviour alone. Access to more recent information can help organisations engage customers more effectively, allocate resources more efficiently and provide support earlier when it’s needed.
Few things slow down collections performance faster than an inability to reach the customer. In fact, industry benchmarks put the average right-party contact rate at just 26%, and 23% of contact centres reach the right person on fewer than one in five attempts.
Many organisations already use credit bureau data, tracing services and internal records to improve contact rates. Yet it’s still common to find accounts where contact attempts fail despite multiple data sources being available.
The key reason? Contact information changes frequently.
Customers move home. Mobile numbers are replaced. Email addresses become inactive. Some consumers actively reduce engagement with organisations during periods of financial pressure, making accurate contact data even more important.
This is one area where alternative data has become particularly valuable. By accessing additional sources of consumer information, organisations can often identify updated contact channels that may not be available through traditional routes.
As Kishore Bobba, MD, at United Kash says; “We found the Data On Demand team great to work with, the high quality data provided allowed for improved contact with customer, and the results in terms of performance speak for themselves”
For organisations like United Kash, the key consideration is coverage.
How much of your portfolio remains uncontactable today? How many records return no new information from your existing providers? And what impact would even a modest increase in successful customer engagement have on collections performance?
These are often the questions that lead organisations to evaluate additional data sources alongside their existing bureau strategy.
→ Related reading: Why customers go unreachable in collections (even when you already buy contact data)
When organisations evaluate alternative data providers, they’re usually trying to answer four specific questions that influence customer outcomes, operational performance, and regulatory obligations.
Before engagement can happen, organisations need confidence that they can actually reach the customer. Updated mobile numbers, email addresses and address information help improve engagement rates and reduce wasted activity across collections, servicing and customer support teams.
Understanding where someone works, how long they’ve been employed, or whether their circumstances have recently changed can help organisations make better-informed decisions around affordability, collections and customer support.
Organisations are looking for richer insight into income, expenditure and financial pressure so they can understand a customer’s current position rather than relying solely on historic indicators. The pressure is widespread. The FCA found 13 million adults, 24% of the population, have low financial resilience, and 1 in 10 has no savings at all.
Consumer Duty has pushed vulnerability higher up the agenda. And it carries real consequences. The FCA has already secured close to £60 million in redress for 270,000 customers where firms fell short on supporting people in financial difficulty.
That’s why organisations are looking for data that helps identify customers who may need additional support, particularly where there are signs of financial difficulty, life events or changing personal circumstances. Most of these customers won’t say so directly. FCA research found just 4 in 10 had told their provider about their needs, so the insights usually have to come from data rather than a conversation.
Bottom line: These four areas help organisations build a more complete understanding of the customer and support better decision-making across onboarding, servicing, collections and customer care.
It’s safe to say, the strongest customer decisions don’t rely on a single source of information. Credit bureau data provides valuable insight into credit history, repayment behaviour and existing financial commitments. Alternative data adds another layer of context around contactability, employment, affordability and vulnerability.
When these sources are used together, organisations gain a broader understanding of the customer.
The result: a more complete view of the customer.
For example, a collections team may see a customer with a strong historical repayment record through bureau data. Additional data may reveal a recent change in employment or signs of financial pressure, helping the organisation choose a more appropriate engagement strategy.
The same principle applies across onboarding, affordability assessments and vulnerability management. Different data sources contribute different pieces of the puzzle, helping organisations make decisions with greater confidence and context.
Of course, not all data providers solve the same problem. Some focus on credit risk. Others specialise in identity verification, customer contactability, or vulnerability detection. That’s why the most effective procurement processes start with the outcome you’re trying to achieve.
Before evaluating any provider, ask:
Customer circumstances can change quickly. Understanding how often data is refreshed can have a direct impact on decision quality and operational performance.
Coverage matters more than dataset size. Ask providers what percentage of records they can typically match, where their data comes from, and whether they can demonstrate incremental value alongside your existing suppliers.
Buyers should understand the provider’s legal basis for processing, compliance framework, security standards and approach to data quality.
The strongest providers are usually willing to prove their value. A Proof of Value project allows organisations to evaluate data performance against their own portfolios, workflows and objectives before making a wider investment.
The best data in the world delivers little value if it’s difficult to operationalise. Ask how the data can be consumed, whether through APIs, batch processing, portals or existing technology platforms.
Look beyond product features. Focus on measurable outcomes such as improved contact rates, stronger customer engagement, better identification of vulnerable customers, enhanced match rates or increased operational efficiency. The most successful data projects start with a business problem, a clear objective and a measurable outcome.
The conversation around bureau data vs alternative data often starts with data sources.
It usually ends somewhere else.
Can we improve customer contact rates? Can we identify vulnerability earlier? Can we strengthen affordability assessments? Can we make better decisions with a more complete view of the customer?
Those are the outcomes buyers are ultimately trying to achieve.
The most effective way to evaluate any data provider is against your own objectives, processes and customer base. What works well for one organisation may deliver very different results for another.
That’s why many firms choose to run a Proof of Value project before making a wider commitment. Testing against real portfolios provides a clearer understanding of coverage, operational impact and potential return on investment.
If you’re evaluating alternative data alongside your existing bureau strategy, start with the evidence. The results are often more valuable than any feature comparison.
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