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.
No workflow building — DD structure is built in
Productive on the first deal within a day
Built for due diligence, not adapted from ETL
More deals without building new workflows
Trusted by deal teams
Transaction Services professionals on how Datapack improved their delivery.
Frequently asked questions
DD workflows, not data workflows.
Purpose-built for due diligence. No workflow building, no technical skills required, productive from day one.