Datapack contro Tableau

Tableau crea dashboard. La due diligence necessita di un’analisi strutturata.

Tableau è uno strumento di visualizzazione di livello mondiale. Ma i team DD non hanno bisogno di dashboard: hanno bisogno della mappatura GL, della normalizzazione degli account, della struttura QoE e degli audit trail. Datapack fa esattamente questo.

Sound familiar?

Dashboards don't produce QoE reports

Tableau visualizes data you've already structured. QoE requires structuring raw GL data first -that's the hard part.

No account mapping capability

Tableau doesn't map GL accounts to analysis categories. You need another tool (or hours of manual work) before Tableau is useful.

Not built for deal workflows

Tableau is designed for ongoing reporting, not time-bound DD engagements with unique data each time.

Visualization ≠ analysis

A chart of revenue trends is not a Quality of Earnings report. DD deliverables require structure, traceability, and adjustment documentation.

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.

I don't need a dashboard of our QoE. I need the QoE itself -structured, traceable, and ready for review.

Thomas Lefèvre

Thomas Lefèvre

Partner, Transaction Services, Big 4 Firm

Domande frequenti

Prima la struttura. Visualizza più tardi.

Datapack gestisce l'analisi DD che gli strumenti di visualizzazione non possono fare. Esporta in Tableau quando hai bisogno di grafici.