One version of the truth. Trusted by every team.
Average improvement in data quality scores
Faster compliance and audit reporting
Reduction in data-related support tickets
Define and enforce the golden record for customers, products, suppliers, and all core entities, eliminating duplicates and conflicting versions across systems.
Policies, ownership assignments, stewardship roles, and controls that ensure data is accurate, compliant, and consistently used across the business.
Automated profiling, cleansing, and continuous monitoring that catches quality issues before they cascade into reporting errors or operational problems.
A searchable inventory of all your data assets, what exists, where it lives, who owns it, how it is defined, and who is allowed to use it.
Merged 6 fragmented customer databases from post-acquisition businesses into a single golden customer record, eliminating 42,000 duplicate entries and enabling a unified CRM view.
Delivered a data catalogue, retention policies, and consent management framework for a healthcare operator, reducing GDPR compliance audit preparation from 3 weeks to 2 days.
Implemented a product information management system and governance framework across 80,000 SKUs, cutting product launch data errors by 90% and speeding up time-to-shelf.
We bring deep domain knowledge across these sectors
Catalogue all data assets, identify quality issues, and map ownership gaps across the business.
Define policies, stewardship roles, quality standards, and data domains.
Deploy MDM tooling, automate quality checks, and cleanse existing data at scale.
Ongoing monitoring, quality reporting, and governance programme maturity development.
MDM is the discipline of creating and maintaining a single, authoritative record for core business entities like customers, products, and suppliers. It eliminates duplicates and inconsistencies that cause reporting errors and operational problems.
A foundational governance framework, policies, ownership, and tooling, typically takes 8–12 weeks. Building a mature programme with full data quality management is a 6–12 month journey we support incrementally.
Yes. Data cleansing is a core part of every data management engagement. We profile, deduplicate, standardise, and enrich your existing data as part of the implementation, not as a precondition of starting.
No. We design governance frameworks that fit your team size and maturity. For smaller organisations, lightweight policies with automated tooling can be managed by a part-time data steward.
We implement a federated governance model, central policies and standards with distributed stewardship. The data catalogue connects all systems so governance is applied consistently regardless of where data lives.
GDPR, CCPA, HIPAA, SOC 2, ISO 27001, and industry-specific frameworks. We have delivered compliance-aligned data programmes for regulated industries including financial services and healthcare.
Join 200+ companies that have transformed their operations with Sync4Tech. Your transformation starts with a single conversation.