What is a data tape?

A data tape is a single, granular data file in which every individual asset in a portfolio occupies one row, with columns capturing the attributes a buyer needs to value it. In a loan portfolio sale, each row is a loan — its balance, rate, term, borrower characteristics, payment history, and delinquency status. In other contexts the rows might be individual accounts, leases, or customers.

The name is a holdover from when such data was delivered on magnetic tape. Today it is a spreadsheet or database extract, but the concept is unchanged: the tape is the loan-level or account-level ground truth, the raw material a buyer's analysts build their valuation model on.

Where summary financials tell a buyer what a portfolio earns in aggregate, the data tape lets the buyer interrogate it at the individual-asset level — stratifying by risk, vintage, geography, or any other dimension to find the concentrations and the soft spots the averages hide.

How a data tape is used

For any portfolio transaction — loan books, lease portfolios, receivables, or large customer bases — the tape is the central analytical artifact.

  1. Delivery. The seller provides the tape, ideally with a data dictionary defining every field, so the buyer can interpret each column correctly.
  2. Cleaning. The buyer validates the file — checking for missing values, duplicate rows, and fields that don't reconcile to the reported totals.
  3. Stratification. The buyer slices the portfolio by vintage, credit grade, geography, balance band, and delinquency to understand its composition and concentrations.
  4. Modeling. Cash flows, loss assumptions, and pricing are built bottom-up from the tape, then aggregated to a portfolio value and bid.

The integrity of the tape is everything. A tape with inconsistent definitions, stale fields, or rows that don't sum to the reported totals forces the buyer to discount for uncertainty — or to widen the price to cover the risk that the data is hiding something.