Datapack vs DD manuel

Ce que coûtent 4 à 6 heures de travail manuel par transaction à votre cabinet.

Pour chaque transaction, vos analystes passent des heures à préparer des données qui pourraient être automatisées. Multipliez cela par plus de 30 offres par an. Le coût ne se limite pas au temps : il concerne le taux de réalisation, la satisfaction des analystes et la capacité de transaction.

Sound familiar?

Realization rate erosion

Fixed-fee engagements go over budget when 40% of analyst time is spent on non-billable data preparation work.

Knowledge loss between deals

Mapping logic, adjustment rationale, and sector insights are rebuilt every engagement. No institutional learning curve.

Quality variance across analysts

Junior analysts make mapping errors that seniors catch -sometimes. Manual processes have no built-in validation.

No scalability without hiring

The only way to handle more deals manually is to hire more analysts. The economics don't support the growth.

Measurable impact on every deal

Datapack directly improves the metrics your partners care about most: realization, utilization, and margin per deal.

0 days
Saved per Deal

On mapping, cleanup, and repetitive analysis

+0%
Realization Rate

Improvement across fixed-fee engagements

0x
Deal Throughput

More deals delivered with the same team

0%
Audit-Ready

Full traceability on every number

Trusted by deal teams

Transaction Services professionals on how Datapack improved their delivery.

We calculated the cost of manual data prep across our practice. The number was staggering. Datapack paid for itself in the first quarter.

Thomas Lefèvre

Thomas Lefèvre

Partner, Transaction Services, Big 4 Firm

Questions fréquentes

Calculez combien le DD manuel coûte à votre pratique.

4 à 6 heures par transaction, plus de 30 transactions par an. Découvrez comment l’automatisation change l’économie de votre pratique.