Jasmin Simader
Microsoft Data Platform MVP | BI Consultant with a passion for Data Health - helping organizations move from messy data to reliable decisions
Linz, Austria
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I combine creative passion with analytical precision. After 15 years in the international plant engineering industry, where I established standards, led projects, and developed data-driven tools, I found my professional home in AI & BI. Today, I work at the intersection of business and technology: I not only design AI & BI solutions but also support management in shaping and implementing strategies that turn data into a driver of business success, while ensuring people are taken into account in the journey. My deep interest in Data Governance and Data Management enables me to design frameworks that make data reliable, accessible, and truly valuable. What drives me is creating AI & BI solutions that deliver insights, support decision-making, and make data understandable and actionable across the organization.
Area of Expertise
Topics
From Invisible to Actionable: Why Data Health Starts with People and Dashboards
Have you ever built a dashboard and instantly realized something was wrong with the data? That moment of doubt is powerful because visibility is the first step toward Data Health.
This session explores how Power BI dashboards act as mirrors, revealing data quality issues that were always there but never seen. More importantly, it makes the case that Data Health is people’s business and not just a technical challenge. We'll look at the key role humans play in creating, maintaining, and fixing data. After all, if people are the source of the data, they must be part of the solution.
You’ll see real-world examples, practical techniques, and ethical considerations all rooting back to one key idea: communication and collaboration fix more data issues than tools alone ever could. We’ll also take it a step further by demonstrating the clear business value of Data Health Dashboards: how they help reduce costs, avoid lost revenue, and improve decision-making by building trust in the numbers.
You'll leave with simple Power BI hacks to build your own “Data Health Dashboard” and a new perspective: every dashboard you publish is not just a report. It’s a business-critical opportunity to improve your data, your processes, and the way people work with both.
Escaping Wonderland: Bringing order to Data Chaos with a Data Health Dashboard
Poor data is expensive. It leads to faulty forecasts, wasted resources, and erodes trust in BI systems. Yet data quality often remains invisible and difficult to measure.
In this session, I show how to escape this “data wonderland” by building a Data Health Dashboard in Power BI that makes data quality transparent and actionable.
We start with the key dimensions of data quality such as completeness, accuracy, consistency, timeliness, and uniqueness, and explore how they can be translated into a scalable data model. You will see how targeted column-level checks can be implemented using DAX measures and how the results can be consolidated into a single monitoring layer.
Finally, we look at visualization techniques that highlight critical issues immediately and allow users to drill down to the underlying data problems.
By the end of the session, you will understand how to make data quality measurable, continuously monitor it, and use it as a foundation for stronger data governance and AI readiness.
Target Audience
BI analysts, Power BI developers, data engineers, and data governance teams
Key Takeaways
- Which data quality dimensions matter most for BI
- How to implement scalable data quality checks with DAX.
- How to design a Data Health Dashboard that makes data issues visible and actionable
Data Community Day Austria 2026 Sessionize Event
DATA BASH '25 Sessionize Event
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