ABS can be a powerful lever to diversify funding. The data requirements are more manageable than many teams expect. Start with a structured self-assessment, validate a small sample, and get a clear view on feasibility and the fastest route to implementation.
✅ Download the “ABS Data Readiness Self‑Assessment Checklist”.
✅ Schedule a 30‑minute review session with with the BearingPoint ABS experts to evaluate your results and define next steps.
This self assessment will take only a few minutes but delivers already a robust first impression.
To reduce uncertainty, we recommend a short self-assessment that focuses on data availability, format, and quality. It is designed to be completed by treasury/finance with a light touch from IT.
Yes, ABS can diversify your funding, and you can often get a reliable first view on feasibility with the data you already have. Asset-backed securitization (ABS) for corporates turns receivables (or other cash-flowing assets) into capital markets funding. While the setup involves coordination across treasury, finance, legal, and IT, the foundational data requirements are structured and manageable.
Asset Backed Securitization pools eligible receivables (or similar assets) into a financing structure. Securities backed by those cash flows are then issued to investors. For corporates, this can complement bank facilities and unsecured instruments with a third, scalable funding channel. Such a transaction creates tangible, hard cash benefits for the corporate:
No. The biggest misconception is that only very large organizations with uniform IT landscapes can run ABS successfully. In practice, the key requirement is the ability to extract a consistent dataset for your receivables portfolio and maintain it over time (cut-off after cut-off).
We’ve supported more than 200 successful onboardings of corporates across industries, ERP landscapes, and revenue sizes, from large groups to many mid-sized companies. Our experience is that onboarding challenges are solvable with clear mapping rules and a repeatable delivery process.
A practical way to approach ABS data is to group it into a few building blocks. You don’t need “everything” on day one; but you do need a stable core dataset and a clear rulebook for how values are populated.
ABS setup projects can feel complex because multiple stakeholders and external parties are involved. But when you focus on data fundamentals, the task becomes tangible: build a consistent dataset, validate it, and define rules for recurring delivery.
In many setups, only a limited number of fields is required to meet capital markets and regulatory reporting requirements and go-to-market can be achieved within weeks when data delivery is stable and ownership is clear.
a. Uniqueness
b. stable keys
c. consistent date formats.
Usually not. Many programs start with structured exports from existing ERP/AR systems. The key is repeatability and clear mapping and not an IT transformation
A sample extract with the core receivable fields, basic debtor attributes, and a small history window is typically sufficient to identify gaps and estimate onboarding effort.
We recommend a short review call to interpret the results, confirm what is material for your target structure, and outline next steps toward a feasible setup and run-mode.