Datapack contre Power BI

Power BI visualise les données. Datapack le structure.

La due diligence n’a pas besoin de tableaux de bord. Il a besoin de données financières structurées, normalisées et prêtes à être auditées. Power BI est une couche de visualisation - Datapack est la couche de structuration des données qui la précède.

Sound familiar?

Dashboards don't produce QoE

Power BI creates compelling visuals. But DD deliverables are QoE bridges, NWC analyses, and adjustment schedules -not dashboards.

No mapping rules or reuse

Power BI doesn't have GL mapping, chart of accounts translation, or reusable mapping rules. The data must be structured before it reaches Power BI.

Not built for deal workflows

Power BI is designed for ongoing reporting. DD is deal-driven, iterative, and time-bounded. Different workflow, different requirements.

Visualization is not analysis

A chart of revenue trends is not an adjusted EBITDA bridge. DD requires analytical structure, not just visual representation.

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 tried using Power BI for DD. Pretty charts, but no one could produce a QoE from it. Datapack does what we actually need.

Sophie Bernard

Sophie Bernard

Manager, Financial Due Diligence, Big 4 Firm

Questions fréquentes

Structurer d’abord. Visualisez plus tard.

DD a besoin de données financières structurées et prêtes à être auditées, et non de tableaux de bord. Découvrez comment Datapack offre ce que Power BI ne peut pas faire.