A practical guide to analysing an FDD datapack: how to navigate the information, prioritise analysis, and extract key insights efficiently.
One of the first real challenges a TS analyst faces in fieldwork is the datapack — the package of financial information provided by the target company. Knowing how to navigate it efficiently separates productive analysts from overwhelmed ones.
A datapack is a structured set of financial schedules and supporting analyses provided by the seller or target management, typically prepared as part of a sell-side or vendor due diligence process. It usually includes:
In a buy-side process without a vendor pack, analysts must build all of this from raw management accounts and board packs.
Before opening any spreadsheet, spend 15–20 minutes understanding what is in the pack:
Answering these questions prevents hours of rework later.
Before detailed analysis, run a quick sanity check:
A reconciliation between the datapack P&L and the audited statutory accounts is a critical early step. Unexplained differences are always a flag.
Never rely entirely on the seller's datapack model. Build your own:
This allows you to independently verify the seller's figures and identify any items they have omitted or presented differently.
As you work through the data, flag items for further investigation:
Every unexplained item in the datapack becomes a question for management. A well-structured Q&A list demonstrates analytical rigour and drives a productive management session.
Datapack analysis is a core TS skill. Analysts who can move from a raw datapack to a clean model with a prioritised issues list in two to three days are invaluable to deal teams.
The Transaction Services Interview Programme (€119.99, one-time) includes a real FDD datapack exercise so you can practise the full analysis process before your interview. Enrol now.
Hundreds of candidates prepared their interviews with this programme. Those who landed the role have one thing in common: they worked the cases before walking into the room.
