For large enterprises
From fragmented data to governed decisions, across every brand, market and team.
DigitalMatch is a decision intelligence platform for large enterprises, with a guided path by our senior team: data governance first across brands, markets and teams, then the platform.
Complex organisations need shared rules before reliable ROI. Our senior team puts governance first, then the platform.
Start in 5 minutes with the data you already have. Then make it governed and scalable.
The problem
Many brands. Many markets. Many versions of the truth.
- 01
Every brand and team measures the same thing differently.
- 02
Data quality and access rules are not shared.
- 03
ROI cannot be trusted without common KPIs.
- 04
Reporting to the group takes weeks.
The solution
Four levels of intelligence. One engine.
Group, brand and business-area views on one governed engine. API access included.
Level 1 · Market intelligence
DigitalMatch Intelligence
Access DigitalMatch's global knowledge base: market trends, customer dynamics and competitive signals across 7 global regions. Ask a question, get a strategic answer.
Start freeLevel 2 · Your proprietary data
My Intelligence
Drag and drop reports, KPIs, surveys, sales files, campaign results and retail data in any format (Excel, PDF, CRM exports), or open the API. The AI analyses, correlates and answers in plain language, in seconds.
Start freeLevel 3 · Data visualization
Dashboard
A dynamic dashboard that structures whatever you upload into metrics, charts and breakdowns, filtered by KPI, segment and period. Export as PDF and PPT for C-level reporting. Activate monthly updates to get a fresh report every month.
Start freeLevel 4 · Forward-looking guidance
Predictive ROI
A proprietary predictive model that correlates marketing, sales and communication activities with business results across all touchpoints. See where budget is wasted and where to move it.
Start freeThe guided path
From fragmented data to group-wide decisions, in four phases.
- 1
Assessment
Map data sources, KPIs, reporting flows and data maturity across brands, markets and teams.
- 2
Governance and data preparation
Shared KPI dictionary, quality and access rules, cost allocation criteria. A common core of rules and method, with extensions for each brand or business area. The core shares rules and method, not data, so separation between brands is preserved.
- 3
Pilot and validation
Predictive ROI and the platform activated on one or two pilot units, validated against history with your teams.
- 4
Rollout
Extended to all units, with views by brand, by business area and for the group.
A common core, with room for every brand.
The core shares rules and method, not data. Separation between brands is preserved.
One view for the group. Separate views for each unit.
Views by brand, by business area and for the group, on the same governed engine. API access included.
Example questions
Ask it like you'd ask a colleague.
Plain language in. A clear answer, with the data behind it, out.
Proof
Real decisions, measured.
Case study
Media and publishing company
- Challenge
- For years we delivered a continuous survey and correlated the company's data with market signals as periodic reports. Questions raised in meetings had to wait for the next report.
- Solution
- Moved to an always-on Enterprise SaaS, queryable on demand in plain language.
- Results
- 4x faster strategic decisions
- Market-research turnaround from 3 weeks to seconds
- One view across sales, marketing, communication and awareness KPIs
Next step: Predictive ROI.
Case study
Global high jewellery maison
- Challenge
- Owned-channel analytics, online presence, influencer performance and purchase data lived in different tools and teams, each with its own metrics. The data was there; a single narrative was not.
- Solution
- A continuous data governance and data intelligence: harmonised sources and metrics, proprietary KPIs, correlation of quantitative KPIs with qualitative information, constant benchmarking against the market and competitors.
- Results
- 4 years of continuous KPI and insight monitoring
- 63 reports per year, 6 geographic macro-areas
- 5 social channels monitored with competitor benchmarking
- One single narrative, always read against competitors and trends
Legacy: The method became the one we use today for data intelligence in complex organisations.
10 years
of R&D
80+
proprietary algorithms
200+
predictive indices
TRL7
deep tech
+8-15%
marketing ROI*
+20-30%
revenue uplift*
Up to 20x
faster decisions*
* Measured on real decisions.
Security
European by design.
Hosted in Frankfurt
All data stays in Europe and never leaves the EU.
Encrypted per workspace
Every document encrypted at upload with a dedicated key. Workspaces isolated at database level.
Zero data retention
Models run in Zero Data Retention mode. Client data is never used to train AI.
GDPR compliant
We have no access to file content. European by design.
Pricing
Enterprise, with guided onboarding.
Enterprise
For companies above 50M EUR revenue and multinationals
from 3,900 EUR/month
- Guided onboarding with our senior team
- Data governance and preparation
- Predictive ROI, validated on pilot units
- Group, brand and business-area views
- API access
- Hosted in Frankfurt, zero data retention
FAQ
Why does data governance come before ROI calculation?
To compare ROI reliably, everyone must measure the same things in the same way. Governance defines first a shared KPI dictionary, data quality and access rules, and cost allocation criteria. The calculation comes after.
Can brands or business units keep their data separate?
Yes. The group core shares rules and method, not data. Each brand or business unit sees only its own data, and calculations run separately for each one.
Who owns the results, the KPI dictionary and the model?
You own your data, your results and all governance outputs: KPI dictionary, rules, maps and documentation. The Predictive ROI model, with its algorithms and formulas, remains our intellectual property. We share how it works: its inputs, its drivers and the validation results.
How is ROI measured across channels, brands and markets?
The model is omnichannel, so it looks at all touchpoints. For groups with several brands or business areas, ROI is calculated separately for each unit. You then get views by brand, by business area and for the whole group, all based on common rules.
See what your data says about your next decision.
Start in 5 minutes with the data you already have, or book a call with our senior team.