Financial intelligence infrastructure for emerging markets
Econometric-ready secondary datasets, exclusive primary research, and C2PA-verified provenance — built for researchers, banks, and fintech operators working on Bangladesh and the wider Global South.
Three foundations
Re-processed secondary data
Complex public datasets cleaned, harmonised, and shipped in econometric-ready CSV and JSON.
Exclusive primary research
Field-collected behavioural data on MSMEs and underserved segments, licensed for commercial use.
C2PA-aligned provenance
Every dataset and visualisation carries cryptographic metadata so authenticity is verifiable end-to-end.
Coverage domains
Six interconnected verticals that map the fintech and strategic-business stack of an emerging market.
MFS & Digital Payments
Transaction volumes, agent-network density, cash-in / cash-out behaviour, and time-series of mobile financial services adoption.
Digital Banking & Neobanks
Customer acquisition cost, cost-to-serve, app engagement against incumbents, and digital deposit growth trends.
MSME & Alternative Credit
Alternative-data feeds for AI credit scoring: digital cash flow, e-commerce / f-commerce volume, sustainable-finance impact.
Remittance & Cross-Border
Channel-level remittance flows, freelancer inward gateways, comparative cross-border payment economics.
Agri-Fintech & Green Finance
Smallholder credit utilisation, satellite-backed crop-insurance field data, and green-bond market performance.
Central Bank Policy & Macro
Real-time adoption of Bangla QR and Binimoy, plus correlations between inflation, policy rates, and digital transactions.
What CFSBR sells through Data Bank
Researchers and corporates don't buy raw data — they buy the days they save and the decisions they can defend. Here is the practical product mix the marketplace is built around.
Bangladesh MFS 64-District Inclusion Dataset (2024–2026)
Two years of Bangladesh Bank, BTRC, and Global Findex data scraped from PDFs, fully cleaned, and shipped as Excel / CSV. District-level gender ratios and active vs. inactive account time series included.
MSME Alternative Credit Risk & Cash-Flow Survey (Regional Field Study)
Custom field survey of 54 MSMEs covering daily digital cash flow, transaction history, and loan repayment behaviour — collected directly by CFSBR fellows. Built for AI-driven credit risk modelling and sustainable MSME financing algorithms.
The Rise of Digital Banking in Bangladesh: Consumer Readiness & Policy Brief
A 40-page analytical PDF on Bangla QR and Binimoy adoption, digital banking acquisition challenges, and alignment with the central bank's legal framework. Snapshot-style report aligned with CFSBR's policy-brief vision.
CFSBR C.A.S.E. Premium Research Templates & Methodology Guide
Ready-made LaTeX and Word templates for Crossref deposition, a methodology guide for designing fintech and strategic-business case studies, plus a sample dataset.
A practical revenue engine for CFSBR
Yes — this model can generate serious revenue in both local and international markets.
Corporates and academics never buy raw data; they buy saved time and actionable insights. The 4–5 days an analyst would burn turning ten government PDFs into a usable spreadsheet is exactly the cost customers happily pay to skip.
Globally, Statista and PitchBook have built billion-dollar businesses selling processed data and market intelligence. Locally, firms like LightCastle Partners and Innovision generate meaningful annual revenue selling sectoral data and reports. CFSBR has the credibility and field access to occupy the fintech-specific lane that none of them own.
No dedicated marketplace exists in Bangladesh for fintech and alternative credit scoring data. CFSBR gets a first-mover advantage in a domain it already leads on research.
Digital products are built once and sold an unlimited number of times. No manufacturing, no logistics — just licensing and delivery.
Every dataset ships with a Crossref DOI and C2PA verification, so buyers know they aren't paying for fabricated or AI-generated numbers. Academic and technical integrity is the moat.
How the data is offered
A tiered model that protects academic openness while monetising premium, field-originated intelligence.
| Tier | Access | Audience | Value |
|---|---|---|---|
| Open | Free | Students, general researchers | Macro-level secondary indicators for citation and exploration. |
| Processed | Pay-per-download | PhD scholars, independent researchers | Cleaned, harmonised, econometric-ready datasets in CSV / JSON. |
| Premium | B2B commercial license | Banks, MFS providers, fintech founders | Exclusive anonymised primary research from CFSBR fellows. |
Trust, provenance, and safeguards
Credibility is the currency of a data marketplace. CFSBR Data Bank operationalises it at the file level.
C2PA cryptographic signatures
Datasets and charts ship with tamper-evident provenance metadata aligned to the C2PA standard.
Crossref DOI backing
Every release receives a persistent DOI through CFSBR publishing wings CCPM and C.A.S.E.
Anonymisation by default
Primary data is stripped of personally identifiable information; only demographic and financial patterns are licensed.
Academic discount rail
Verified students and early-career researchers access processed datasets at reduced cost.
Built for
- Academic researchers
- Commercial banks
- Fintech & MFS operators
- Central bank & regulators
- UNDP, World Bank, IFC
- Investment & risk teams
A permanent record for CFSBR research
Data Bank serves as the long-term, DOI-backed repository feeding CFSBR's publishing wings — CCPM and C.A.S.E. — and powers structured data feeds for AI-driven risk modelling.
Partner with CFSBR Data Bank
Commercial licenses, custom field research, institutional subscriptions, and academic access.