Automate the manual work. Keep the judgment calls.
Financial due diligence requires analytical judgment. It does not require manually reformatting trial balances. Datapack automates the data preparation so your team focuses on what actually matters.
Sound familiar?
40% of deal time is data prep
Importing, cleaning, reformatting, and mapping data before analysis can even begin. This is not value-added work.
Automation attempts fail without DD context
Generic automation tools don't understand deal workflows, QoE structure, or the iterative nature of due diligence.
Quality drops when teams rush
Tight timelines force corners to be cut on data validation. Errors surface during partner review — or worse, after delivery.
Scaling requires hiring
Without automation, the only way to handle more deals is to hire more analysts. The economics don't work.
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 average mapping and cleanup time
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 automated the parts that shouldn't require judgment. Analysts now spend their time on analysis, not data wrangling.”
Marc Dubois
Associate Director, Transaction Services
Frequently asked questions
Automate the work that shouldn't require judgment.
Let your team focus on analysis, not data preparation. See how DD automation improves throughput and realization.