Big 4 output quality. Mid-market team size.
You compete with Big 4 on quality but with fewer people. Datapack gives your team the infrastructure to deliver consistent, audit-ready analysis without the overhead.
Sound familiar?
Competing with Big 4 on quality
Your clients expect the same deliverable quality as Big 4. Your team is a fraction of the size.
Every hour matters on fixed fees
With smaller teams, overruns on one deal directly impact capacity for the next.
No dedicated tooling team
Unlike Big 4, you don't have internal R&D building proprietary tools. You need off-the-shelf that works immediately.
Analyst turnover hits harder
When one of your five analysts leaves, you lose 20% of your institutional knowledge overnight.
From this. To this.
Your clients expect Big 4-quality deliverables. Datapack makes that the default, not the exception.
Without Datapack
| Acct | Label | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|---|
| 601100 | Achats MP | 1,234,567 | -- | 987654 | $1,100,000 |
| 606100 | Fournitures | 45000 | 52,000 | 48.000 | 51000 |
| 613200 | Locations | 120,000 | 120,000 | 120000 | 120,000 |
| 641100 | Salaires | 890,000 | 892,000 | -- | 895000 |
With Datapack
| Category | Description | Q1 | Q2 | Q3 | Q4 | YoY |
|---|---|---|---|---|---|---|
| COGS | Cost of Goods Sold | 1,234,567 | 1,198,432 | 987,654 | 1,100,000 | -2.9% |
| OpEx | Operating Supplies | 45,000 | 52,000 | 48,000 | 51,000 | +13.3% |
| Rent | Rent & Leasing | 120,000 | 120,000 | 120,000 | 120,000 | 0.0% |
| Staff | Staff Costs | 890,000 | 892,000 | 894,000 | 895,000 | +0.6% |
Built for your workflow
Do more with the team you have
Shift analyst time from low-value data prep to high-value analysis and delivery.
40% of analyst time spent on work that doesn't require their expertise.
Measurable impact on every deal
Datapack directly improves the metrics your partners care about most: realization, utilization, and margin per deal.
On average mapping and cleanup time
Improvement across fixed-fee engagements
More deals delivered with the same team
Full traceability on every number
Productive on day one
No 6-month implementation. No IT project. No training program.
Import your first GL export
Drop in any financial data file. Datapack normalizes it automatically.
Map accounts with suggested rules
Intelligent suggestions based on PCG structure and past deals. Review and apply in minutes.
Run your first QoE analysis
Standardized structure, full audit trail, partner-ready output. On your first deal.
Reuse rules on your second deal
Mapping rules from deal one apply automatically. Your second deal is already faster.
Trusted by deal teams
Transaction Services professionals on how Datapack improved their delivery.
“We standardized our QoE process across twelve concurrent deals. Consistency and speed are no longer trade-offs.”
Caroline Müller
Director, Deal Advisory, Mid-Market Advisory
Frequently asked questions
Deliver more with less.
Join mid-market advisory teams delivering Big 4-quality analysis with leaner teams and higher margins.