#stephen few

[gturpin]

Is this one of those situations that, because it is complex or unfamiliar, requires reflection?

Stephen Few

[frontlinestrategy]

Information Dashboard Design

A highly recommended book featuring the latest thinking on data visualisation and dashboard design by thought leader Stephen Few. Updated in 2013 this edition features detailed instruction on the design of bullet graphs and sparklines.

[visactivism]

"Signal detection is actually getting harder with the advent of so-called Big Data. By its very nature, most Big Data will never be anything but noise. Collecting everything possible, based on the Big Data argument that the costs of doing so are negligible and that even data that you can’t imagine as useful today could become useful tomorrow, is a dangerous premise. The costs of collecting and storing everything extend far beyond the hardware that’s used to store it. People already struggle to use data effectively. This will become dramatically harder as the volume of data grows. Finding a needle in a haystack doesn’t get easier as you’re tossing more and more hay on the pile. (…)

When we rely on data for decision making, what qualifies as a signal and what is merely noise? In and of themselves, data are neither. Data are merely facts. When facts are useful, they serve as signals. When they aren’t useful, data clutter the environment with distracting noise.

For data to be useful, they must:

Address something that matters

Promote understanding

Provide an opportunity for action to achieve or maintain a desired state

When any of these qualities are missing, data remain noise."

—

Stephen Few

[dmgerbinototallyrandom]

Visual Business Intelligence - Excel 2010: Another Opportunity Missed

Excel 2010: Another Opportunity Missed

In March of 2006 I glimpsed the new charting capabilities of Excel 2007 for the first time and wrote about them in an article titled “Excel’s New Charting Engine: Preview of an Opportunity Missed.” After waiting for years to see how the world’s most popular data analysis software would improve its sadly lacking charting capabilities, I mourned the opportunity for improvement that was almost entirely missed. Essentially, an entirely new charting engine in Excel 2007 replaced the old one, but what it brought with it was a fresh array of flashy visual effects that encouraged us to hide our data behind a thick layer of cheap makeup. Within two days of my article’s publication, I received an email from Scott Ruble, the person in charge of charting functionality in Microsoft Office products. Scott invited me to help the team improve the charting capabilities of the product’s next major release—Excel 2010—which will become available sometime during the first half of next year. We’ve had several conversations since, including a teleconference with the team. Early glimpses into the charting capabilities of Excel 2010 are now beginning to surface, and it appears that the opportunity to improve the product’s data visualization capabilities has once again been missed. Although I haven’t seen an advance version of the product myself, those who have tell me that it includes only one change to charting: the addition of sparklines. What a shame.

Don’t misunderstand me. I’m thrilled that a version of Tufte’s sparklines will be added. Assuming that the implementation is well designed, this will eliminate the need for an add-in product if you want to display a set of time-series values as a simple sparkline, but this is a single grain of sand compared to an entire seashore of need. No single product in the world is used more than Excel for analytics, not because it’s a good tool for data exploration, analysis, and presentation—it isn’t—but because almost everyone in the world who works with quantitative data has it. Just imagine how much the world would benefit if Excel were more powerful and better designed. I was frustrated and upset when Excel 2007 missed the mark, but now with Excel 2010 trying to assuage our misery with nothing but sparklines, I’m inclined to give up on the product entirely as a tools for data analysis. Fortunately, where Excel has failed, alternative products have emerged that deliver effective and visionary analytical abundance.

Will Microsoft play a role in the future of data analytics? Although the company boasts a business intelligence (BI) solution and even declared its commitment with the first annual Microsoft Business Intelligence Conference in May of 2007 (the 2009 conference was cancelled), only its database does anything particularly useful for BI so far. The other pieces that have been awkwardly rubber-banded together into a so-called BI solution suggest the lack of a strategy or a confused one at best, and previews of coming additions, such as Project Gemini, suggest nothing but already dated functionality for the future. I don’t have a bias against Microsoft because it’s huge and powerful; I have a progressively growing disappointment with it because of unfulfilled potential. If Microsoft seriously applied itself to the task, it could probably do some wonderful for the world of analytics. At this point, Microsoft will have to do something big, totally unexpected, and uncharacteristically well designed if it hopes to play a role in the future of analytics. I would welcome this with arms wide open, but I’m not holding my breath.

Take care,

via perceptualedge.com

Another version of Excel and another negative critique by Stephen Few. With so many data visualization evangelists out there like Edward Tufte, Stephen Few, and Naomi Robbins, there is no reason for the most influential software developer out there to be missing the mark.

[appsifter]

Interesting and thoughtful article on the visualization of data, and what makes a good infographic.

[datavissen]

Op 21, 22 en 23 mei zal Stephen Few, een guru op het gebied van Visual Business Intelligence een 3-daagse workshop geven in Utrecht. 

Gedurende deze 3 dagen worden op een interactieve manier de onderwerpen van zijn 3 boeken behandeld: 

dag 1: Show Me The Numbers: Table and Graph Design

dag 2: Information Dashboard Design

dag 3: Now You See It: Visual Data Analysis

Inschrijven kan via de website van DIKW-opleidingen

[ekonlab-blog]

Esta semana y a raiz de unas declaraciones sobre el trabajo de David McCandless se ha generado un vivo debate sobre el pulso entre visualizaciones con enfoque analítico y aquellas que están enfocadas más al entretenimiento del lector.

[ekonlab-blog]

Bullet Graph

El Bullet Graph es una variación del gráfico de barras desarrollado por Stephen Few y creado específicamente para usarse en “dashboards”. Few afirma que este tipo de gráfico es su respuesta personal a los indicadores y medidores usados  comúnmente en los dashboards. Los indicadores usados actualmente representan normalmente una variable, a veces comparada con un valor objetivo y/o en el contexto de rangos cuantitativos con etiquetas cualitativas que representan el estado de la variable como bueno/malo. Few se planteó si estos indicadores mostraban de la forma más clara y simple el estado de la variable en el menor espacio posible. En su opinión, la respuesta es: No

El bullet graph está diseñado para mostrar una variable clave, junto con un valor de referencia y rangos cualitativos que instantáneamente muestran si el valor de la variable es bueno/malo/otro

El diseño lineal del bullet graph permite orientarlo vertical u horizontalmente y también permite colocar varios de ellos en un espacio reducido. Además permite analizar de una forma rápida si las variables han cumplido o no los valores objetivos.