Work · Case study
Valuations that showtheir working.
01 / Challenge
Valuations were assembled from a dozen sources by hand, each with its own refresh date. By the time a number reached a committee, nobody could say precisely which day it described.
02 / Approach
We consolidated the sources into a single warehouse with explicit freshness on every feed, then layered forecasting models over it that report their own confidence intervals rather than a single figure.
The dashboards show the inputs behind any number. A committee can open a valuation and see what moved it, which is the question that always follows the figure.
03 / Outcome
Faster refresh
Data freshness
Valuations arrive with their inputs, their dates and their uncertainty attached, and the discussion starts from the assumptions rather than from where the number came from.