01 / Data management & governance
Data quality management
Profiling, business rules, scorecards and monitoring across the six quality dimensions, so decisions and reports rest on data people can trust.
Why it matters
Poor data quality shows up as disputed numbers, manual reconciliation and reports nobody fully trusts. Jadara’s data quality practice starts with the business domains and critical data elements that matter, profiles the actual data, and turns findings into rules, scorecards and a remediation lifecycle owned by the business. On enterprise platforms the rules run continuously, so quality is monitored rather than audited once.
What you get
Outcomes that outlast the engagement.
A quality framework with critical data elements, dimensions and thresholds agreed with data owners
Profiling findings documented as a quality matrix with severity, query evidence and recommendations
Automated rule libraries and scorecards per business domain
Root-cause analysis and cleansing that fix issues at the source
Scope of work
Clear scope. Connected work.
Assess
- Business domain and critical data element identification
- Profiling, discovery and data analysis sessions with stewards
- Quality matrix and impact analysis from source to report
Build
- Business rules for accuracy, completeness, consistency, validity, timeliness and uniqueness
- Scorecards and quality dashboards at entity, domain and issue level
- Defective-record logging engine and issue management
Operate
- Issue lifecycle and remediation ownership
- Cleansing, matching, deduplication and standardization
- Monitoring, alerts and ISO 8000-informed master data quality practices
Scope, deliverables and acceptance criteria are defined for each engagement.
How we work
From the first session to the final handover.
Validation: from uneven to consistent
Scope
We agree with data owners on the domains, tables and data elements where errors directly affect the business.
Profile & analyze
We examine the actual data, document each issue with its dimension, severity, query and recommendation, and prioritize with stewards.
Rules & scorecards
We turn issues into reusable rules and scorecards that departments can see.
Monitor & remediate
Rules run on schedule, issues are tracked to closure and trends are measured over time.
Common questions
A little more clarity.
Which tools do you use?
We implement on enterprise data quality platforms such as Informatica Data Quality and Cloud Data Quality, with dashboards in Power BI or Tableau. The method itself is tool-independent.
Where do we start?
With one business domain and its critical data elements. A quick initial profiling exercise shows the size of the problem and gives management a basis for prioritizing.
Who fixes the data?
Data owners decide priority, technical teams fix at the source, and we provide the rules, tooling, analysis and closure tracking.
Connected capabilities
All capabilitiesIllustrative photographs
START A CONVERSATION
Tell us about your initiative.
A data office to establish, an index cycle to prepare for, a platform to deliver, a program to rescue. Share the context and we will come back with the right team and a scoped proposal.
Discuss a projectOpens an email to our team. Proposals and RFP responses are prepared in Arabic and English.
HEADQUARTERS
7076 ALSAHBA 4431Riyadh, Saudi Arabia
What helps us respond precisely
- The initiative or challenge to address
- The systems and data sources involved
- The regulatory requirements or measurement cycle in view
- The timeline and the stakeholders










