Insights: data quality, governance and dashboards

How do you improve data quality in your organisation?
What is data governance and how do you record ownership?
How do you build a data strategy that works in practice?
What does a Chief Data Officer actually do?
How do you get your data in order before starting with AI?
How do you build dashboards whose numbers actually hold?

How do you improve data quality in your organisation?

Not by starting with a tool, but with a baseline: where do you stand now, per source and per definition. Then you record who owns which data and which standards apply. The Metro model splits that into a strategic, tactical and operational layer, so you know which measure belongs at which level.

11 episodes, articles and cases

Episode 1

How do you use a standards framework as architecture for data quality?

What is data governance and how do you record ownership?

Data governance is not a control mechanism but an agreement about who owns what. Per data item you record who defines it, who maintains it and who may use it. Without metadata that stays abstract, which is why a catalogue is usually the first concrete step.

9 episodes, articles and cases

Episode 7

The power of leadership and collaboration in data management

Guest: Mark van der Veen

Episode 8

Metadata deep dive

Guest: Shannon Els

Episode 9

Building data awareness as part of data governance

Guest: Frans Klaassen

Read

Article

Why is data governance not a control mechanism?

Read

Article

Why is metadata the foundation of data governance?

Read

Article

How do you build data awareness in your organisation?

Case

How do you make an organisation AI-ready with data governance?

Microsoft Copilot, data catalogue

Case

How do you see in complaints data which process is costing you customers?

Power BI, legacy case system

Answer

What is data quality and how do you measure it?

How do you build a data strategy that works in practice?

By tying it to goals that already exist, instead of writing a separate document. A data strategy that cannot be traced back to the business strategy stays on the shelf. Start small and visible, with a problem people already feel, and expand from there.

5 episodes, articles and cases

Episode 11

Effective data strategy: from theory to practice

Guest: Henk Breunissen en Luuk Pauwels

Episode 12

Data strategy in practice

Guest: Jaap Franse en Henk Breunissen

Episode 13

The bridge between data strategy and data quality in practice

Guest: Julien

Case

How do you steer fundraising on data instead of on instinct?

Ifunds Engage, Dynamics 365, Power BI

Answer

When should you move from Excel to Power BI?

What does a Chief Data Officer actually do?

A CDO connects the ambition of the board with what happens daily in the processes. That is less a technical role than a change to carry through: assigning ownership, getting definitions agreed, and making sure the organisation keeps it up once the attention moves on.

5 episodes, articles and cases

Episode 14

The CDO of the digital city

Guest: Mustafa Akpolat

Episode 15

Data centricity: the road to success in the modern organisation

Guest: Aldwin Tito

Episode 16

From civil engineering to CDO: a journey through data and social impact

Guest: Taeke van der Laan

Case

How do you get a team that works with data instead of requesting reports?

Power BI, Microsoft 365

Answer

Why is nobody using the dashboard?

How do you get your data in order before starting with AI?

AI only pays off on a solid data foundation. That means definitions that hold, data maintained structurally, and owners who feel responsible for it. Start small and visible rather than with a large programme, because a model on messy data mostly gives you wrong answers faster.

3 episodes, articles and cases

Episode 17

Data has to land in daily practice

Guest: Erwin Jager

Episode 18

Data in order takes leadership, not just tooling

Guest: Martijn Scheele

Case

How do you make an organisation AI-ready with data governance?

Microsoft Copilot, data catalogue

How do you build dashboards whose numbers actually hold?

By taking the business logic out of the report. Power BI should be purely the visualisation layer; definitions, data quality rules and calculations belong in the data layer underneath. If the logic sits in the report, every report builder makes their own version of revenue or margin, and the numbers drift apart by themselves.

10 episodes, articles and cases