In this article, I discuss why quality is a often problem for data and analytics, and how DataOps can help.
All in Data Culture & Adoption
In this article, I discuss why quality is a often problem for data and analytics, and how DataOps can help.
In this article, we discuss how we might have more impact and deliver more value with data and analytics by shifting our mentality from a focus on technical problems to equal focus on technical, business and adoption problems.
In this article, I share the different variants of bar charts you can create with Power BI, and provide free templates to try them yourself. I also discuss the impact of “Macguyvering” Power BI visuals too far.
In this short article, I share a visual overview of the MS Build announcements for Microsoft Fabric that are relevant for Power BI. Hopefully this makes it less overwhelming.
In this article, I share a C# script to run a randomized, 10-question, eduacational quiz about Tabular Editor.
Learn Tabular Editor… inside of Tabular Editor!
What kinds of things can we do to ensure adoption once the reports are live? One of the easiest ways is to host a regular “data café” surrounding the solution. In this article we examine why this is valuable.
In this post, we look at what can be done to facilitate a smoother handover of Power BI datasets & reports. First, we examine the mentality & activities needed to create sustainable, hygienic solutions, and why that is important.
Training users is important in every Power BI project. It’s particularly important when implementing Power BI, or if users are not familiar with Power BI reports. However, creating good training material is time-consuming, and difficult. In this article, I introduce reporTee, a licensed, out-of-the-box training tool to get users oriented in Power BI reports.
In this article, I discuss 3 common approaches to collecting reporting requirements, arguing in favor of the third approach - working iteratively & collaboratively with business users to make the report.
In this post, I write about the learning paths users take when using self-service solutions in Power BI. Specifically, I illustrate a way to conceptualize these learning paths, making it easier to segment users and create meaningful training programs.
In this post, I write about the options for self-service tooling in Power BI. Which tools to use for which cases, by whom & why? I've found it's helpful to visualize the different dimensions of this, to know the options & understand user skill/solution paths.
I believe that Power BI - if successfully adopted & supported in a research department - has the potential to deliver tremendous value. In this article, I try to explain how, and why this benefits researchers & society as a whole.
In this article, we examine the importance of empathy in growing a data culture — one where others want to participate.