Why Shouldn't All Charts Be Scatter Plots? Beyond...
A central concept in information visualization research and practice is the
notion of visual variable effectiveness, or the perceptual precision at which
values are decoded given visual channels...
Asking the right data questions and asking the data questions right
In my last post I lamented the fact that there is too little focus on data thinking in data science and data visualization, and I described how much of a struggle it’s been for me to figure out how to learn and teach these skills. When I teach my academic visualization course, the thing the most exemplifies this need is the way I struggle to teach how to formulate good
Visualization Standards Improve Business Intelligence Project Success – Part Two | SAP Blogs
What do German Telekom, Credit Suisse, Swiss Post, German Armed Forces, and SAP have in common? They are all following the seven HICHERT®SUCCESS Rules in their financial reports. In Part 1 of this blog,
Today, more and more people realize there is more to data storytelling than just data visualization. If you were to evaluate what makes a data story "good," you'd discover one crucial ingredient that's necessary--a meaningful insight. In this article, I review what insights are and the critical role they play in data stories. I also share thoughts from a recent journal article by Sorin Adam Matei and Lucas Hunter on the importance of insights to data storytelling in science communication and data journalism.
Data Literacy And Data Storytelling: How Do They Fit Together?
Data literacy is a key focus of many organizations as they seek to help their employees take full advantage of their data. While data storytelling is often included in data literacy training, the question is whether it is a required skill to be data literate. In this article, I explore the minimum viable skills someone needs to qualify as being data literate. I then share where data storytelling fits in the data literacy landscape.
Shifting From 'What' To 'Why': How Data Storytelling Unlocks Your Data's Full Potential
The most common way of sharing data with employees has been through dashboards and reports, but they mainly focus on the 'what.' What executives really crave is the 'why'--interpreting the numbers to help inform decisions. A recent survey reveals how data stories can address this crucial need.
Actionable Insights: The Missing Link Between Data And Business Value
Forrester reports 74% of firms say they want to be “data-driven,” but only 29% are actually successful at connecting analytics to action. Actionable insights are the missing link for companies that want to drive business outcomes from their data. This article defines six key attributes that make insights truly actionable.
To become an effective data storyteller, you must shift your mindset from being reporting centered to embracing a different storytelling approach. In this article, I introduce the Insight Funnel and how reports/dashboards complement data stories. Then I explore the six key approach differences between reports/dashboards and data stories.
10 Reasons Why Your Organization Still Isn't Data-Driven
According to a NewVantage Partners survey, 99% of firms have invested in data initiatives and 92% reported the pace of investment is accelerating. However, only 24% reported having a data-driven organization. This article looks at 10 reasons why your company may not have achieved this goal yet.
Insight Literacy: Why We Need To Clarify What Insights Really Are
In today's data economy, the word 'insight' is used frequently in business. However, in many cases, it is misused without a clear understanding what the word means. We need to enhance insight literacy, which starts with developing a clearer definition of what insights really are.
4 Keys To Better Data Interpretation Skills For Any Manager
Many managers are uncomfortable with interpreting the numbers in their reports and dashboards. If this common data literacy problem isn't addressed across management levels, companies will continue to struggle in their efforts to develop data-driven cultures. In this article, I cover four key areas of data interpretation that are essential for all managers who are striving to make data-informed decisions.
I was listening to Cole Nussbaumer Knaflic interviewing Steven Franconeri a few days ago (excellent episode!) and I was struck by something they mentioned towards the end regarding the illusion of being neutral when visualizing data. Many seem reticent to editorialize their data visualizations for fear of being perceived as biased. Cole was mentioning strategies she advocates for that bring more clarity and focus but necessarily leads to more direct steering of the reader’s attention from the visualization designer’s side (highlighting, annotations, simplification, etc.)
The reason is that by making the message explicit at the design stage of visualization, there are many choices one can make to facilitate the communication of that message (Cole has some great ones in her book). Without a specific communicative intent, we are left with this abstract idea of using the “right” visualization for the data we have, which is not particularly effective
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The reason is that by making the message explicit at the design stage of visualization, there are many choices one can make to facilitate the communication of that message (Cole has some great ones in her book). Without a specific communicative intent, we are left with this abstract idea of using the “right” visualization for the data we have, which is not particularly effective.
Using Tree Map as legend on a page in Power BI - Prathy's Blog...
I recently worked on two projects where the client wanted to show multiple metrics sliced by the same categorical data. For example, seeing how various metrics are performing over different…
Normalizing conditional formatting bars in Power BI is not easy, but can be done with a measure and a calculation group. No more bars covering the values.
For more formal enterprise Power BI development, many people have a checklist to ensure data acquisition and data modeling quality and performance. Fewer people have a checklist for their data visu…
Sharing your Custom Power BI Visual (code) online (on medium f.e.)
Perhaps you would like to share your Custom Power BI visual with others online or collaborate during the development of a custom Visual. In that case, it's useful to run your visual project in Codesandbox.io so you can share your visual across platforms, like f.e. medium. In this article, I will e...