Pacote de dados x Tableau

O Tableau cria painéis. A devida diligência precisa de uma análise estruturada.

Tableau é uma ferramenta de visualização de classe mundial. Mas as equipes de DD não precisam de painéis – elas precisam de mapeamento GL, normalização de contas, estrutura de QoE e trilhas de auditoria. O Datapack faz exatamente isso.

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

Perguntas frequentes

Estrutura primeiro. Visualize mais tarde.

O Datapack lida com a análise DD que as ferramentas de visualização não conseguem. Exporte para o Tableau quando precisar de gráficos.