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Data Visualisation Trends

Why Your Analytics are Failing You

Many organizations investing millions in big data, analytics, and hiring quants appear frustrated. They undeniably have more and even
better data. Their analysts and analytics are first-rate, too. But managers still seem to be having the same kinds of business arguments and debates — except with much better data and analytics.

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Data Visualisation Trends

THE RISE OF THE DIY DATA SCIENTIST

A COMPANY CALLED KAGGLE RUNS COMPETITIONS TO BUILD THE BEST PREDICTIVE MODEL FOR EVERYTHING FROM THE PROPERTIES OF A MOLECULE TO THE PRICE OF BULLDOZERS. SURPRISINGLY, THE TYPICAL KAGGLE WINNER IS SELF-TAUGHT, NOT AMERICAN, AND BUILDS THE WINNING ALGORITHM ON A LAPTOP–NOT A UNIVERSITY SUPERCOMPUTER. KAGGLE’S CHIEF SCIENTIST JEREMY HOWARD GIVES US HIS HYPOTHESIS ON WHY THE BEST DATA SCIENTISTS TODAY ARE COMING OUT OF LIVING ROOMS, NOT LABS.

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Data Visualisation Trends

How Infographics Can Boost Hiring Efforts

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Plenty of companies are using inbound marketing techniques to publicize their brands. Strategies like SEO, link building, social media, online video, email blasts, infographics and blog posts help drive traffic to websites, but these tactics aren’t just for marketing — they can boost hiring efforts, too.
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Data Visualisation

How to Make Visual Content for Social Media in 5 Minutes

Social networks like Facebook, Twitter, LinkedIn and Pinterest have increasingly adopted more visually oriented layouts and promote more visually appealing content when possible.

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Data Visualisation

Creating a picture axis

Using pictures as axis points in Excel..

User Friendly

If like me, you like to create interesting graphs in Excel, you may have wondered at one point or another whether it is possible to have pictures on your axes instead of text.  In actual fact it is really very easy to do this.  You just need to install some dingbat fonts (e.g. wingdings and wingdings 2) on your machine.  Then simply adjust the font of the axes to match the font (and icons) you want to use.

For example, in the graph below I have used a font called “Social font face” which is free to use for personal use.

social media graph

Personally, I think the logos of the different types of social media are a lot easier to read and more recognisable than text.

Another example using a font called “Face“:

faceI’ve enclosed the two excel spreadsheets here for you to download and use: social media

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Data Visualisation

What do Coke, Windows Phone 8 and Mobile BI have in common? PUSHBI of course! #mobile #windowsphone

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Data Visualisation

Visualization for Analytics will be driven by the consumerization of IT

capioIT - Trusted Advisors in Emerging Technology

Alongside predictive analytics, visualization, particularly for mobility, is the hottest investment focus and offering expansion for analytics providers. Making content more visually usable and friendly to a range of users and user skill levels is essential. “voice activated analytics visualization” is as yet not a particularly hot topic on Google. In fact, it gets a grand total of 0 hits (prior to this post). However, that will change in the next couple of years, driven by the consumerization, or democratization of technology.

The limitation for visualisation is that many analytics platforms lack the ability to personalise the visualisation viewpoint to be what the individual user can describe. Currently to change a visualization format (eg bar graph to line graph) may involve basic coding skills. Whilst virtually every 11 year old child in seemingly has some coding skills, not a lot of 35 year old marketers or 45 year old accountants…

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Data Visualisation

In search of perspective: Chris Dancey ‘the world’s most quantified man’

Digitalia


The unexamined life, they say, is not worth living. And soon the unexamined life may be impossible in the era of Google Glass and sensor-embedded wearable devices. As I’ve blogged here before, we are being cast headlong into an ‘age of context’ – the blogger Robert Scoble’s phrase – where sensor technology will be able to generate data on every physical object, animate or inanimate, in the ‘Internet of Things’.

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For Chris Dancy, an executive at BMC Software with a Scoble-like passion for tech, the chance to plug himself into this network is an unrivalled opportunity. He has covered himself in all manner of gadgets to monitor his movement, heart rate, perspiration, sleep rhythms and so on – not to mention every micro-event in his Google calendar – in the belief it can guide him to greater efficiency. By measuring everything, he wants to identify when he is sharpest…

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Data Visualisation

Jamie Unveils the 3 Reasons Why BI-analytics Projects Fail, Part II

Quinnsight Research

Jamie M Headshot2As promised, here is the second half of Jamie Menashi’s viewpoints on why BI/analytics projects either do not meet expectations, or fail outright.  The first blog on this subject, along with bio information about Jamie, is here.  In this era of big data, as organizations of all stripes try to either (a) stretch their existing BI/analytics solution, or (b) jump to a more modern version, they inevitably run into difficulties as they scale big data’s walls.  As you will learn from Jamie, the reasons for failure or dissatisfaction usually have more to do with culture, process, and decision-maker oversights, more so than the underlying technology.

Reason 2

My IT department will do it and learn as they go.  High value BI/analytics projects are part technology, part business and part art.  We want to use information to guide behavior and decisions and we need the right team to make…

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Data Visualisation

Jamie Unveils the 3 Reasons Why BI/analytics Projects Fail, Part I

BI/analytics projects are often sold internally on loose ideas like “my analysts and managers need better information to make better business decisions” – good read..

Quinnsight Research

Jamie M HeadshotMy friend Jamie Menashi, a professional services consulting, project and account manager in the BI/analytics space for a decade or so, made me a cup of strong french press coffee the other day, and then launched into an insightful diatribe about failed BI/analytics projects.  Rumors of all kinds of less than successful big data projects have surfaced, but this isn’t news to Jamie; Jamie has been on point for BI/analytics professional services for countless projects, with a focus on financial services, and he has seen the good and the bad countless times.  Jamie offered up 3 primary reasons why such projects fail, and here is the first reason, the rest will be unveiled in a subsequent post.


Does anyone really know why we did this project?  In this scenario the value of a BI/analytics project is not well defined up front with the stakeholders.  High-value BI/analytics projects drive behavior that…

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