From Data Chaos
to Governed Quality
How Jan De Nul deployed beVault to build an industrialized, closed-loop Data Quality factory — fixing data at the source, embedding governance into daily operations, and delivering clear, actionable insights to every level of the organization.
Data Quality as a
Strategic Imperative
Jan De Nul Group operates across complex, multi-domain environments — managing vendors, projects, legal entities, vessels, and more — each supported by distinct operational systems that had historically never been interconnected.
In April 2022, the Master Data Management (MDM) programme was launched with a clear mandate: integrate data from all operational systems, implement rigorous quality controls, and produce clean referential datasets to power the new ERP — Microsoft Dynamics 365.
"Data quality is fixed where it originates — in the source systems, not downstream. No cleansing."
Fragmented Source Systems
ERP, CRM, project management, vessel data — each system operating in isolation with its own data standards and inconsistencies.
No Unified Quality View
No single platform to measure, track, and compare data quality across business domains and source systems simultaneously.
Reactive, Not Proactive
Issues discovered late — often after data had already propagated into reports and decisions. No structured remediation process.
Accountability Gaps
Data ownership unclear across domains. No formal governance structure to assign, track, and resolve data quality incidents.
ERP Migration at Risk
The Dynamics 365 go-live depended on clean, validated master data. Poor quality at source would compromise the entire migration.
A Closed-Loop DQ Factory
beVault implements a continuous, five-step cycle that connects data ingestion, quality assessment, actionable reporting, source remediation, and governance — all in one industrialized platform.
Data Integration
Consolidate data from all operational systems into beVault's unified vault — no coding required
DQ Assessment
Automated checks — errors, warnings, notifications — based on data profiling and business validation
Actionable Reporting
Clear dashboards with Pareto analysis to prioritize high-impact actions first
Source Remediation
Data stewards fix issues directly at the source, in collaboration with system and business owners
Follow-up & Governance
Progress tracked over time, embedded in DG meetings, with DQ objectives set and monitored
The Right Insight for Every Role
beVault delivers a structured reporting hierarchy aligned with governance responsibilities — from executive scorecards to operational remediation workbenches.
Programme Manager View
A high-level scorecard of the overall data quality health across all systems and business domains. Tracks global DQ score evolution, total failed controls, and trend analysis — designed for executive steering committees.
8 Reasons This Approach Works
beVault's DQ factory is not a monitoring tool — it is a decision-making engine embedded in the organization's governance fabric.
Actionable, Not Just Informative
Reports guide users toward what to fix first and how — not just what is broken.
Business-Driven Quality Rules
Built with input from people in the field — ensuring relevance, adoption, and lasting impact.
Pareto-Driven Prioritization
Quick wins identified first — maximum business value delivered with minimal remediation effort.
Severity-Based Issue Classification
Errors, warnings, and notifications — each aligned with real business impact and urgency.
Closed Feedback Loop
Detection → action → monitoring → governance → continuous improvement. No broken chain.
Historical Tracking & Transparency
Evolution of data quality is visible and discussed — driving accountability across all levels.
Embedded in Governance
Becomes a decision-making tool embedded in steering committees — not just a reporting layer.
Industrialized & Always Current
Automated scheduled runs, consistent outputs, and a real-time view of data quality status.
A Framework Built for Accountability
beVault does not just measure data quality — it powers the governance processes that sustain it. Roles are clear, meetings are structured, and improvement is continuous.
Roles & Responsibilities
- Strategic governance leadership
- Define policies & standards
- Executive reporting
- Business accountability for data
- Business rules validation
- Prioritization & monitoring
- Operational quality management
- Incident tracking & resolution
- Performance reporting
- Technical data management
- Security & accessibility
- Systems maintenance
Governance Meeting Cadence
From Launch to Continuous Improvement
A structured, phased deployment — from initial integration to a self-sustaining governance engine embedded in Jan De Nul's operations.
Programme kickoff with mandate to integrate all source systems and implement DQ controls for Dynamics 365 migration.
Initial set of 150+ controls deployed across Vendor and Legal Entity domains. First DQ score established as baseline.
All 4 business domains (Vendors, Projects, Legal Entities, Vessels) fully monitored. 350+ controls active.
DQ reporting integrated into steering committee agenda. Data steward workbenches operational across all domains.
Global DQ score progressing toward 89%+. Ongoing remediation cycles driven by Pareto-prioritized action plans.
Ready to Build Your DQ Factory?
Discover how beVault can transform your data quality and governance programme — from fragmented sources to a governed, trusted data foundation.