Alteryx is powerful. It's also not built for due diligence.
Alteryx is a general-purpose data tool. Datapack is purpose-built for DD workflows -QoE structure, mapping rules, audit trail, and deal knowledge included.
Sound familiar?
Alteryx requires workflow building
Before analyzing a deal, you need to build the Alteryx workflow. That's a project in itself -and it changes every engagement.
No DD-specific templates
Alteryx doesn't know what a QoE bridge is. Every DD structure has to be built from general-purpose components.
No institutional knowledge capture
Alteryx workflows are powerful but personal. They don't capture deal knowledge in a way that scales across teams.
Overkill for structured accounting data
Alteryx excels at complex data transformation. But GL data is structured -it needs domain-specific handling, not general-purpose ETL.
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 evaluated Alteryx but the time to build DD-specific workflows was months. Datapack understood our use case from day one.”
Thomas Lefèvre
Partner, Transaction Services, Big 4 Firm
Frequently asked questions
DD workflows, not data workflows.
Purpose-built for due diligence. No workflow building, no technical skills required, productive from day one.