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 healthcare and life sciences
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.
Healthcare providers, insurers and life sciences companies work under patient safety obligations and strict health data rules. Clinical leaders, privacy officers and IT need to agree how data is accessed and shared before anything is configured. 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 the work covers
We design, deliver and stay until operation is stable, with evidence your procurement and risk teams can rely on.
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.
Health regulators and exchanges
We work within the requirements of the authority that licenses you: DOH in Abu Dhabi, DHA in Dubai or MOHAP in the UAE, or the Ministry of Health, the Saudi Food and Drug Authority and the National Health Information Center in Saudi Arabia. In Saudi Arabia, health insurance claims follow the Council of Health Insurance's rules through NPHIES, and public hospitals are grouped into health clusters under Health Holding. Integration with exchanges such as Malaffi, Nabidh, Riayati and NPHIES is planned where your services use them.
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.
Signs you are ready to start
Master data work is ready to start when a business owner will decide the rules and the systems that hold each domain are known.
- The clinical or business owner of each workflow in scope has been named.
- 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 healthcare and life sciences
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.