AI-assisted Master Data Management (MDM)
Deduplicate, reconcile, and enrich master data (customers, products, suppliers) using ML matching.
-30%
duplicate reduction
The problem
No reliable steering on aI-assisted Master Data Management.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Trust in data is insufficient.
Prerequisites: required data & tools
Required data
- CRM
- ERP
- e-commerce
- sources externes
Compatible tools
- Informatica
- Talend
- Tamr
- custom fuzzy matching
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 6-12 months
In 6-12 months: Deduplicate, reconcile, and enrich master data (customers, products, suppliers) using ML matching. with measured impact on duplicate reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for aI-assisted Master Data Management
Operational engine for aI-assisted Master Data Management
Steering dashboard with alerts
Action playbook and governance
Expert insight
Universal issue for multi-ERP mid-market firms. Prerequisite for a 360° customer view.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
Powered by specialized agents
Data Quality & Observability
Traiter la data quality comme un produit avec SLA, alerting, et runbooks.
Discover the agent →Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
Discover the agent →Similar cases
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Ready to solve this problem?
First step: a 30-minute call to understand your context.