04 — Trust
Data Quality & Reliability Services
Establish measurable controls that make critical organisational data accurate, complete, timely, and dependable.
Quality and reliability answer one question: can we trust this data today? Fafanua puts measurable controls around the data your organisation depends on, with automated tests, source-to-target reconciliation, freshness and completeness monitoring and clear reliability targets for critical datasets, so problems are found by the data team before they reach a board pack, a regulator or a customer.
Problems this service solves
- Errors are discovered by report users, after decisions have been made.
- Totals in reports do not reconcile with finance or source systems.
- Nobody knows whether last night’s load arrived complete or on time.
- A change in a source system silently breaks the reports downstream.
- The same data issues are fixed by hand again and again, without their cause being traced.
What Fafanua delivers
Automated data-quality testing
Tests for completeness, validity, uniqueness and business rules that run with every load.
Reconciliation controls
Source-to-target, financial and operational reconciliations with agreed tolerances.
Freshness monitoring and data observability
Monitoring that shows when data last arrived, and alerts when it is late, partial or unusual.
Data contracts and schema controls
Agreed expectations between source owners and data consumers, checked automatically.
Incident detection and traceability
Issues detected, traced to their cause and followed through to resolution.
Typical engagements
- Automated data-quality testing
- Freshness and completeness monitoring
- Source-to-target reconciliation
- Financial and operational reconciliation controls
- Data contracts and schema controls
- Incident detection and traceability
- Reliability targets and service-level objectives for critical data
- Pipeline reliability improvements
Business outcomes
- Issues caught before they reach decision-makers.
- Reports that reconcile, with the evidence that they do.
- Clear reliability targets for the data that matters most.
- Less time spent firefighting, and more on improvement.
Where it fits in the Fafanua lifecycle
Trust is the fourth stage of the lifecycle, where a data foundation becomes a trusted data foundation, and it is deliberately separate from governance. Quality controls test the pipelines and models built in Connect and Model; governance then records what the data means and who owns it.
- DesignData Strategy & Platform Architecture
- ConnectData Engineering & Integration
- ModelData Warehousing & Analytics Modelling
- TrustData Quality & Reliability
- GovernData Governance & Metadata
- DecideBusiness Intelligence & Analytics
- OperateManaged Data & Analytics Services
Relevant sectors
- Financial Services Data & Analytics
Payments, Reconciliation, Regulatory reporting
- Health Data & Analytics Solutions
Branch comparability, Billing and claims, Pharmacy stock
- Public Sector Data & Analytics
Service turnaround, Revenue and budget, Statutory reporting
- Development & Impact Data Systems
Beneficiaries, Outcomes, Surveys, Donor reporting
Let’s build a data foundation your organisation can trust.
Which number do you trust least? Tell us about the reports and figures your organisation relies on.