Pacote de dados vs. Alteryx

Alteryx é poderoso. Também não foi construído para a devida diligência.

Alteryx é uma ferramenta de dados de uso geral. O Datapack foi desenvolvido especificamente para fluxos de trabalho DD - estrutura de QoE, regras de mapeamento, trilha de auditoria e conhecimento do negócio incluídos.

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.

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.

We evaluated Alteryx but the time to build DD-specific workflows was months. Datapack understood our use case from day one.

Thomas Lefèvre

Thomas Lefèvre

Partner, Transaction Services, Big 4 Firm

Perguntas frequentes

Fluxos de trabalho DD, não fluxos de trabalho de dados.

Desenvolvido especificamente para a devida diligência. Sem criação de fluxo de trabalho, sem necessidade de habilidades técnicas, produtivo desde o primeiro dia.