Data profiling
An assessment of duplicates, gaps and conflicting values in the systems that hold each data domain.
Industry context
MDM, PIM and data quality in logistics and supply chain
We give each party, product, supplier or asset one trusted record, with matching rules and stewards agreed by the business.
Master data work is about matching rules, data ownership and stewardship rather than software alone. We profile your data, agree the rules with the business and set up the workflows people use to keep records correct.
Logistics operators work to tight delivery windows and customs requirements, with many partners running different systems. Planners, warehouse leads and partner managers need changes that do not interrupt live shipments, so we plan cutovers away from volume peaks. Arabic and English spellings of the same name, national ID and commercial registration numbers, and UAE and Saudi address formats each need their own matching rules.
We hand over with runbooks and training, and can stay on under agreed service levels.
Alongside sector regulation, we often map delivery evidence to cross-industry baselines such as the UAE Information Assurance Regulation issued by TDRA, the NCA Essential Cybersecurity Controls in Saudi Arabia and the NIST Cybersecurity Framework, which many risk reviewers already use.
What we deliver
Specialists in logistics and supply chain and platform engineers, with you from design to stable operation.
Matching and survivorship
Rules for matching records and choosing the trusted value, agreed with the data owners.
Stewardship workflows
Queues and approvals for data stewards, with quality measures reported to data owners.
Customs and port platforms
We plan integration with the customs and port systems your shipments pass through, such as Dubai Customs' Mirsal and the Federal Authority for Identity, Citizenship, Customs and Port Security in the UAE, or ZATCA's FASAH platform and Mawani in Saudi Arabia.
Bilingual matching
Match rules that handle Arabic and English names, transliteration variants and local identifiers.
Distribution to consuming systems
Trusted records published to ERP, CRM and analytics through agreed interfaces.
What to have in place first
Master data work is ready to start when a business owner will decide the rules and the systems that hold each domain are known.
- Operations has named the volume peaks that cutover must avoid.
- A business owner for each data domain in scope has agreed to decide matching and quality rules.
- The systems that create and change records in each domain have been listed.
Plan MDM, PIM and data quality in logistics and supply chain
Share your current systems, compliance themes and timeline. We will return a phased plan, a staffing model and a risk register for your stakeholders to review.