When traditional records capture only part of a person, business, or market, decisions can miss useful context. Alternative data means information beyond the usual credit files, financial statements, or official records, such as payment or utility-bill histories when they’re lawfully available.
In Thailand, these signals may help lenders assess people and small businesses with limited credit histories, while giving researchers more ways to examine economic activity. But a growing volume of digital activity doesn’t mean individual records are accessible or suitable for every decision. First, it helps to see where alternative data can fill gaps, and where its limits begin.
Key Takeaways
- Alternative data, including utility-payment and e-commerce histories, can supplement bureau records for applicants with thin credit files.
- Bank of Thailand payment statistics show widespread digital activity, but aggregate figures don’t give lenders access to individual transaction histories.
- Customer consent matters, but cross-sector sharing remains limited; CGAP’s analysis of Thailand’s data-sharing framework notes that some records require separate arrangements.
- For Thai small businesses, payment and sales records can add context to conventional files, as explained in alternative credit scoring for Thai SMEs.
- Sound decisions still require accurate, relevant data and checks for affordability and bias, not simply more information.
Why alternative data sources in Thailand matter
Traditional credit files and official records can miss how people earn, pay bills, or run small businesses. In Thailand, relevant alternative data can add context to credit decisions, but only when it is reliable, appropriate, and lawfully available.
A fuller picture for people and small businesses
Someone who has never borrowed, or has used little formal credit, may have a thin credit file. A lender relying mainly on established borrowing records may have too little evidence to assess that applicant. Small firms face a similar gap when they lack formal financial statements, even if their day-to-day activity produces records.
With proper permission, verified utility-payment or e-commerce histories could help fill in part of that picture. For a small business, documented sales or payment activity may provide useful context alongside bank records and financial statements. These signals can help an organization ask better questions about repayment capacity, but they cannot show the whole financial situation on their own.
The distinction matters: a data source may have potential value without being available to lenders or suitable for every decision. Any added record should be checked for accuracy, relevance, and bias, then considered with established financial information. Alternative data should supplement, not replace, sound credit assessment.
What Thailand’s digital payment figures can, and cannot, tell us
The Bank of Thailand’s May 2025 payment indicators show the scale of digital activity. Internet and mobile banking recorded 3,245.3 million transactions, up 12.9% from a year earlier. E-money recorded 479.6 million transactions, an 18.7% annual increase.
Those totals describe payment activity across the system. They don’t reveal which individuals made the transactions, whether a particular lender can access person-level histories, or whether those records can be used in a credit decision. A high transaction volume is evidence of broad digital payment activity, not proof of access to individual data.
That distinction also applies to researchers and other businesses. Access depends on the data holder, the purpose, the customer’s permission, and the arrangements that govern sharing. For background on the infrastructure behind these figures, see Thailand’s digital payments ecosystem. The practical value for credit decisions comes from relevant, verified records that an organization can legitimately use, not from aggregate totals alone.
Which alternative data sources offer useful signals in Thailand?
Useful alternative data can come from routine payments, commercial activity, or broader sources used for research and planning. In Thailand, however, potential value should not be confused with verified access to individual records or confirmed use in credit decisions.
Payments, utility bills, and online activity
Payment trends can show broad changes in digital activity, but aggregate totals do not reveal individual spending or repayment behavior. For a credit assessment, utility-payment and e-commerce histories may offer more direct evidence of recurring bills or commercial activity, particularly for thin-file borrowers.
The Bank of Thailand’s digital personal loan framework allowed lenders to use utility and e-commerce histories to supplement credit assessments starting in 2020. That permission does not establish that every lender has access to these records or that any specific source has improved approval outcomes. Data must be lawfully available, relevant to the decision, and reliable. For more context on combining records with conventional information, see how lenders may combine alternative data. The framework’s requirements are summarized in guidance on Thailand’s digital personal loans.
Location, satellite, mobile, and public data
Location and satellite information could help researchers study activity across areas, while mobile-network data might show patterns in connectivity or movement. Social data may offer insight into public discussion, and public-sector records can support research or planning when their purpose and access rules allow it.
These categories require careful limits. Location traces and network records can be sensitive, while public availability does not automatically make a dataset appropriate for credit decisions. The evidence available for this article does not verify particular Thai projects, providers, or datasets in these areas. Treat them as possible research inputs, not established sources used by Thai lenders.
Why data access matters as much as data volume
A large volume of digital activity does not mean an organization can access the underlying records. A payment provider, utility, online platform, or telecom company may control its own customer data, with different rules and systems governing any transfer.
The Bank of Thailand’s Your Data initiative is intended to support customer-directed sharing, but cross-sector access still faces limits. Its reach is tied to entities under BOT supervision, while records held by other sectors may require separate arrangements. Gaps in common standards, consent tools, and data-transfer systems can prevent sharing even when a customer wants to authorize it. For credit teams and researchers, the practical starting point is therefore not how much data exists, but whether the right records can be accessed and used for a clear, lawful purpose.
How alternative data can support better decisions
Alternative data is useful when it answers a specific question that conventional records leave open. In finance, it can add context to an applicant’s ability to repay. In research, it can help test whether familiar assumptions still match people’s behavior. In both cases, the signal needs to be checked before anyone relies on it.
Expand credit assessment without replacing credit checks
A thin credit file can leave a lender with little evidence about an applicant’s borrowing history. With lawful access and appropriate permission, a record of regular utility payments or verified business sales may help show financial activity that a credit report does not capture. For small firms, payment records can add context to bank statements or formal accounts, especially when those documents offer an incomplete view of day-to-day trading. See how digital payment data may support small-business credit assessments.
These records should inform, not determine, a decision. A history of bill payments cannot establish a person’s full financial obligations, and sales activity alone does not show a business’s profit or capacity to repay. Credit teams still need to assess affordability and check the source, accuracy, and relevance of each record.
Thailand’s virtual-bank policy also points to an inclusion goal. In June 2025, the Bank of Thailand named three qualified applicant groups to establish virtual banks, with a mandate to serve underserved retail and small-business customers. The approval did not mean those banks were already operating or using specific alternative-data models. The Bank of Thailand’s 2025 annual report describes the qualified applicants and their intended customer groups.
Improve research while checking who is missing
Researchers and organizations can use additional signals to test assumptions about spending, service use, or changing needs. For example, payment trends may help identify a shift in how people transact, while survey or administrative records can provide context about who is affected. These are potential uses, not proof that every dataset offers a complete or representative view.
People with limited digital access, shared devices, or little online activity may appear less often in digital records. As a result, a pattern in platform or payment data may describe active users more clearly than the wider population. Researchers should compare the data with other sources and ask who may be missing before treating a trend as general.
Match each signal to a clear decision
Start with a narrow question: does this payment history add useful information beyond existing credit records? Then test whether the data is accurate and whether it improves the decision in practice. If it does not add reliable value, collecting more of it will not make the result better.
The same standard applies to market research. Use a signal only when its source, coverage, and limits fit the question. Data should earn its place in a decision, rather than being gathered simply because it is available.
How to use alternative data responsibly in Thailand
Alternative data can add useful context to credit decisions, but only when an organization can access it lawfully and use it fairly. Before relying on a new source, check the reason for collecting it, the quality of its records, and the safeguards around each decision.
Check consent, purpose, and legal access
A customer’s permission matters, but consent alone may not give a data holder the legal or technical ability to transfer records. This is especially important across sectors, where a utility, telecom provider, payment company, or online platform may follow different sharing arrangements.
Before requesting data, explain in plain language what information you want, why you need it, and how it could affect a credit decision. Then confirm that the data holder can share it for that purpose. Because Thailand’s rules and regulator guidance may apply differently to specific data and organizations, review the Thai data protection legal framework with qualified Thai advisers rather than assuming a consent form settles every question.
Test quality, coverage, and fairness
Even lawfully obtained data can mislead if it is incomplete or out of date. Check whether records are accurate, current, consistent, and relevant to the decision. A pattern in payment data, for example, should not be treated as proof of repayment capacity without other evidence.
Compare new signals with trusted records and investigate mismatches before using them. Also ask who may be missing. People with limited digital access or little activity on a particular platform may have sparse records, which can make comparisons unfair. The available evidence does not quantify these gaps in Thailand, so organizations should test their own data and outcomes rather than assume coverage is even.
Protect people and keep decisions explainable
Collect only the information needed for a defined assessment. Limit staff access, store records securely, and set retention periods that fit the purpose and applicable rules. These controls reduce unnecessary exposure and make it easier to manage data responsibly.
People should also receive a clear explanation of how a signal influenced a decision. For high-impact credit outcomes, keep human review available, especially when data conflicts or the model produces an unexpected result. Provide a practical way for applicants to correct inaccurate records or challenge an outcome. For related context on consent and fairness in lending, see financial inclusion for gig workers in Thailand.
Frequently Asked Questions
Alternative data can fill gaps in a credit file, but its value depends on the question being asked and whether the information can be used responsibly. These answers clarify what the term covers and where access or evidence has limits.
What counts as alternative data?
Alternative data is information outside the usual records used for a decision, such as credit files or standard financial statements. In lending, it might include a verified history of utility payments; in another use case, the relevant information could be different. The category depends on what the decision requires, and a source only helps when it is accurate, relevant, and lawfully available.
Can alternative data help someone with no credit history?
Yes. When reliable payment records are available for an appropriate purpose, they may provide evidence that a credit file does not contain. However, a payment history cannot establish someone’s full financial position, and it doesn’t guarantee loan approval or replace an assessment of affordability and other relevant factors.
Does public payment data mean individual transactions are available?
No. Published payment indicators report activity across a system, such as transaction totals or values, rather than identifying each customer’s transactions. Identifiable records have separate access and privacy limits, so public statistics don’t give lenders or researchers permission to inspect individual histories.
What is the Your Data initiative?
The Bank of Thailand’s Your Data initiative is intended to help customers direct the sharing of their data between service providers. The Bank of Thailand’s project description explains its goal of developing mechanisms for customer-directed sharing. In practice, coverage across sectors and workable transfer methods remain important limits, especially when records sit outside the initiative’s participating or supervised entities.
What does Singh Park have to do with alternative data in Thailand?
The available evidence doesn’t establish a relevant Thai company, person, product, park, or research resource called Singh Park. The name therefore can’t be reliably connected to alternative data in Thailand. Verify the spelling and original source before citing it or linking it to credit decisions.
