Get the gold. Make the rules.

The first truly fit-for-purpose enterprise master data management solution for the vendor and B2B customer domains.

Out-of-the-box Master Data Management

Integrates fully formed vendor and customer records across every ERP and other solutions in your vendor and B2B customer ecosystem, including parentchild and vendor-customer relationships.

Bidirectional feeds with each system keep everything in sync, with field contents and structures appropriate for each.

Quick to Deploy: Prebuilt data structure consolidates data from any source. No standardization process needed.
Integration: SAP Certified (including S/4HANA), Oracle Gold Partner, and apexanalytix Secure Open Adapter.
Accurate Data: 850+ external data sources for validation and enrichment.
Auto-Remediation: Data exceptions are remediated automatically against trusted data sources.
Customers & Supplier Engagement: Automated communication when needed.

External data validation and enrichment

Reviews: 5 Stars (850+)

Everything is scrubbed, validated and enriched in real time against the best possible external data sources (over 850 global government, regulatory and authoritative third-party sources) and scored for accuracy and age.

Customer & Vendor participation

Break down the 4th wall

Sometimes the best data source is the customer or vendor, themselves. Traditional MDM solutions require data stewards or other internal resources to manage all data remediation, which creates delays and introduces greater opportunity for errors or fraud. Instead, apexmdm routes exceptions to your customer or vendor through a secure portal to correct bad addresses, tax IDs, minority status or any other field when they are the best source.

AI-enabled data remediation

WorkAholIc

Duplicates, exceptions and proposed updates are applied automatically, routed for review or ignored based on intelligent pattern analysis that takes into account what apexanalytix knows about the vendor or customer, external validation results, proprietary trust scores, and the outcome of previous data quality decisions