What 4-6 hours of manual work per deal costs your practice.
Every deal, your analysts spend hours on data preparation that could be automated. Multiply that by 30+ deals per year. The cost isn't just time -it's realization rate, analyst satisfaction, and deal capacity.
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.
Built for your workflow
Measurable impact on every deal
Datapack directly improves the metrics your partners care about most: realization, utilization, and margin per deal.
On mapping, cleanup, and repetitive analysis
Improvement across fixed-fee engagements
More deals delivered with the same team
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
Partner, Transaction Services, Big 4 Firm
Frequently asked questions
Calculate what manual DD costs your practice.
4-6 hours per deal, 30+ deals per year. See how automation changes the economics of your practice.