The degree to which data is complete, consistent, accurate, fresh and unique; in Microsoft Purview it is measured with rules and scores that roll up from columns to assets, data products and domains.
Power BI isn’t failing because of visuals — it’s failing because nobody plans. 60–70% of BI projects become expensive wallpaper. This episode exposes the 3 discipline steps that separate strategic intelligence from dashboard vanity — why most organizations…
In this episode of the M365 FM Podcast, host Mirko Peters sits down with Microsoft MVP Fabio Bonolo to explore how AI, Microsoft Copilot, and modern workplace technologies are transforming the future of work. Fabio shares his journey from sales executive to…
Data rarely stays in one app: it is copied, exported, renamed and forgotten across Outlook, Teams, SharePoint and Fabric. This episode is for Microsoft 365 admins, data owners and compliance teams who need a plain-English map of Microsoft Purview. You learn…
In this episode of M365.FM, we explore why traditional data entry is rapidly disappearing and how AI agents are transforming business applications. Instead of asking employees to manually enter information into forms and systems, organizations are moving…
Power BI projects often struggle not because of the visuals but because of weak data quality, modeling and performance foundations. In this interview, Fabric Super User and Senior Power BI Developer Thummalacherla Krishnakanth shares practical guidance for…
Learn how to fix bad machine data, missing values, timestamps, and data quality issues before they reach Power BI dashboards in manufacturing. Dashboards are only as good as the machine data feeding them. In this episode of the iFAKT series, we cover common…
This episode goes straight into the uncomfortable truth behind Microsoft Copilot: the same AI that accelerates your workflows can also expose your most sensitive data if you don’t govern it correctly. We unpack how Copilot for Microsoft 365 pulls information…
A solution works perfectly in a pilot. It saves time. Improves visibility. Reduces friction. Then it scales… and starts breaking. In this episode, Mirko Peters explains why success in one team often turns into fragmentation at enterprise level—and why...
Microsoft 365 Copilot has generated enormous excitement, but successful adoption requires much more than assigning licenses. In this episode, Microsoft’s Chris Hinch shares practical lessons from real-world Copilot deployments, explaining why organizations…
Artificial Intelligence is entering a new phase. The real opportunity is no longer deploying a single Copilot—it is transforming how organizations operate through an Agentic Operating Model. In this episode of the M365.fm Podcast, we explore why the future of…
In this episode of M365.fm, Mirko Peters explores why successful enterprise AI adoption starts long before deploying Microsoft Copilot. The core message is that AI is only as effective as the foundation it is built on. Organizations often expect Copilot to…
In this episode we walk through what really happens when Azure AI Foundry doesn’t behave the way you expect, especially when the Agent Service or deployments start acting up. Azure AI Foundry is supposed to feel smooth, almost invisible, tying together OpenAI…
Why DAX Can't Fix a Broken Data Model · Mirko Peters Welcome back to the podcast companion blog! In today's episode, we are tackling a trap that countless data professionals fall into: trying to use Data Analysis Expr…
Why Fabric Lineage Is Not Enough for Data Governance · Mirko Peters Welcome back to the podcast companion blog! As data leaders and IT professionals, we often find ourselves searching for the silver bullet that will solve all our da…
Why AI Won't Fix Your Broken Business Processes · Mirko Peters Welcome back to the blog! As a podcaster, I spend a lot of time talking with industry experts, architects, and business leaders about the latest technological shift…
Top Reasons Why Power Apps Fail and How to Fix Them · Mirko Peters Welcome back to the podcast companion blog! When you dive into the world of low-code development, building your first application is an exciting milestone. However,…
Overcoming ESG Data Challenges with Microsoft Cloud · Mirko Peters Welcome back to the podcast companion blog! In today's post, we are diving deep into a topic that is reshaping how modern organizations operate: environmental, soci…
Taming Schema Drift and Format Chaos in Your Azure Data Lake · Mirko Peters Welcome back to the podcast companion blog! If you have ever stared at a broken executive dashboard on a Monday morning only to find out that a rogue upstream syste…
Copilot Data Quality Issues and Risks: A Deep Dive · Mirko Peters The importance of Microsoft Copilot is growing fast, especially for organizations trying to work smarter with AI-powered automation and decision support. But here's…
The show notes suggest clear measures such as user satisfaction, data quality and business value. Goals should be aligned with the business from the start, not added after the dashboards are built. · From the episode: Make Power BI Dashboards Drive Better Decisions
Common problems are missing values, inconsistent naming, timestamps and units. They are best fixed before the data reaches Power BI, by building data quality checks into the pipeline. · From the episode: Bad Machine Data
How do you fix data quality before it reaches Power BI?
Build data quality checks into the pipeline so that problems are caught earlier, before the numbers reach Power BI. Typical problems are missing values, naming, timestamps and units. Power BI can calculate the right answer from the wrong events, so checks must come first. · From the episode: Bad Machine Data
Why does data quality matter for Copilot?
Weak or messy data produces unreliable answers and erodes trust. The notes cite a Gartner prediction that 30 percent of generative AI projects would be abandoned by 2025 because of data quality issues. · From the episode: Fix Microsoft 365 Copilot Data Quality and…
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