Data Quality Workshop
Data quality as the basis for your business strategy
Why you need a Data Governance Workshop
A JUVO Data Quality workshop will give you clear insight into where questions about your data arise and which steps will yield immediate results in just a few days. You will go home with quick wins that increase efficiency and reliability while mapping out a sustainable strategy for long-term growth.
Data quality and data governance go hand in hand. Poor data quality leads to poor decisions. Strong governance ensures trust, consistency and compliance – the building blocks of reliable data.
This workshop is not a complete governance implementation. It is a guided starting point: a structured, step-by-step approach that reveals your most important tasks, priorities and dependencies.
Start small, move fast, and grow at your own pace – without the overhead of a large project.

















Burning platform – Why now
“Without reliable data, even the best AI models are worthless.” – CDO, Belgian bank
“Our KPIs used to have different meanings for different teams.” – COO, retail organisation
“We were sailing blind until we improved our data quality.” – CFO, industrial group
Common issues:
- Scattered or fragmented data sources
- Unclear ownership
- Inconsistent KPIs and unreliable reports
- Compliance risks and wasted time reconciling figures
If nothing changes:
You will be left with inefficiency, audit findings and lost trust.
Competitors will move ahead based on solid data, while your dashboards raise more questions than they answer.
Workshop approach — from AS-IS to TO-BE
The workshop consists of five steps: exploring and identifying your pain points, presenting them in customised assessment documents, discussing quick-win solutions and exploring options for future steps. Each step looks at the benefits and a long-term data strategy.
Define your pain points
Together, we identify and prioritise your real challenges. These concrete examples form the basis for your maturity assessment.
Assess the current situation (AS-IS)
We map out where you stand in five areas: ownership, inventory & architecture, quality & meaning, compliance & risks, and use & value creation. Typical problems:
- No data owners or responsibilities
- Fragmented sources, inconsistent KPIs
- Challenges in the area of GDPR / AI Act / ISO
- Poor data quality after migrations
Define the TO-BE-status
We discuss quick wins and possible solutions for each domain. If no solutions are ready yet, we document them in a backlog and design a realistic roadmap.
Painting the bigger picture
You will receive a maturity score for each domain, dependencies between actions and a concept for a governance structure — practical, not theoretical.
Deliverables & reporting
You will receive a full report with:
- Results of the maturity assessment
- Priority list with quick wins and next steps
- Recommendations for short-, medium- and long-term benefits
- Preliminary roadmap for the 5 domains
- Summary presentation for stakeholders
Tangible results per role
| Role | Quick win | Effect after 6 months | Long term view |
|---|---|---|---|
| IT | A single overview of data sources | Stable reporting, fewer disruptions | Central catalogue and provenance, IT as innovator |
| Finance | Clear KPI definitions | Shorter closing, fewer errors | Reliable, audit-proof financial model |
| Operations | Defined data owners | Faster problem solving | Real-time, data-driven adjustments |
| Management | Trusted first dashboards | Consistent statistics | Governance framework that supports strategy |
- Quick win: Single overview of data sources
- Effect affter 6 months: Stable reporting, fewer disruptions
- Long term vision: Central catalogue and provenance, IT as innovator
- Quick win: Clear KPI definitions
- Effect after 6 months: Shorter closing, fewer errors
- Long term vision: Reliable, audit-proof financial model
- Quick win: Gedefinieerde data-eigenaren
- Effect after 6 months: Faster problem solving
- Long term vision: Real-time, data-driven adjustments
- Quick win: Reliable initial dashboards
- Effect after 6 months: Consistent statistics
- Long term vision: Governance framework that supports strategy
Who is the workshop intended for?
Sectors / types of organisations
- Medium to large companies
- Organisations that are heavily dependent on reporting
- Organisations with high security or compliance requirements
- Companies that already invest in BI tools (Power BI, Tableau, Qlik), but complain about inconsistencies in figures or the findability of data
Triggers (signs of necessity)
- Management discussions or miscommunication about “which figures are correct?”
- KPIs are interpreted differently by different departments
- Auditors identify risks relating to compliance or data quality
- A lot of time is lost due to duplicate data sources and error corrections
- Increased complexity due to mergers, growth or international reporting requirements.
- Data findability: is the data already available? If so, where can it be found?
Characteristics of the ideal customer.
- Multiple data sources and silos (ERP, CRM, Excel sheets, local tools).
- No or poor data management structure (unclear ownership).
- Data is already being used on a large scale, but confidence is low
- Ambition to work in a data-driven way, but little experience with governance
- Existing or changing legislation causes compliance issues
Key stakeholders:
Chief Executive Officer • Chief Financial Officer • Chief Information Officer • Chief Operating Officer • Data managers • Business intelligence leaders • Compliance officers
Why JUVO
We meet organisations where they are – not where frameworks expect them to be.
Our workshop focuses on clarity, speed and impact, delivering measurable progress within days and a roadmap for data governance that is tailored to your reality, not theory.
From poor data to reliable insights – one workshop at a time.
