We love patterns. From the moment we are born they are, quite literally, the building blocks of intelligence that help us see how the world does, and doesn’t, fit together.
In the world of data science, data visualisation is an essential tool to discover, refute, prove and predict relationships within infinitely large volumes of information and to give clients insights not previously accessible. The best visualisations work on several different levels at the same time – they are easy and quick to understand, while they inform and engage the viewer.
This award-winning graphic, created by Oliver Uberti (of London: The Information Capital fame) appeared in National Geographic in 2011 and is an example of how data visualisation/visual journalism does just that. Continue reading Seeing the forest and the trees
We live in an increasingly connected society. From my morning commute, to when I sit at my desk and even when I return home and flick on my smart TV, I am pinging off endless bits of data.
Up until around a month ago, I never really considered the impact that data science was having on my everyday life.
But what is data science? In layman’s terms, I would describe data science as a way to extract meaningful information and actions from a large amount of seemingly unrelated data. Continue reading What data science means to me
Ask CEOs, recruiters, entrepreneurs and HR managers about the employment situation in the UK and they will all tell you the same thing: the UK is suffering from a severe skills shortage.
In the tech industry this problem is fast becoming chronic. Politicians of all political hues have waded into the debate to attribute a source to the problem. Some pointing to the schools system, others to too much immigration or too little, and the rest blaming universities, the attitude of young people or businesses. It’s easy to opine about why there aren’t enough people within the job market with the right level of skill, but it’s much more productive to look at solutions. In our experience, the Knowledge Transfer Partnership (KTP) that we have with The University of Essex could be the answer if it is applied on a wider basis and across other industry sectors. Continue reading KTPs to plug the skills gap
Business is booming in Dubai, everywhere you look there’s a new skyscraper under construction or a new retail unit or social amenity popping up. Underneath these very tangible examples of the buoyant UAE market is growth of a different kind – in enterprise services. Like the city that has sprung up from the desert in little more than a decade, business to business services are essentially developing from scratch. This is no bad thing, starting from a very low base allows businesses in Dubai to avoid the mistakes of more developed markets in the UK and US, and leap ahead by implementing the most efficient services and strategy. In data science, this opportunity is readily apparent. Continue reading Embracing data science in Dubai
There’s plenty of discussion on the brave new world wearable devices offers marketers, but little solid research has been undertaken on what information could – and should – be collected and used by marketers.
Even less attention has been paid to how data science could be used to analyse this information and gain profound insights into consumer and employee behaviour.
This combination of wearable data and data science opens a Pandora’s Box of ethical and strategic questions on how to balance consumer privacy with highly personal real-time messages. Continue reading Wearables herald a brave new world for marketers
I am going to tell you about my experience wearing a wearable in the workplace. I know you are expecting to hear how I was reluctant at first, but then found out that my lifestyle habits improved…well no, that’s not what I’m going to say.
I reluctantly took part in the Profusion wearables trial back in February 2015. This was a ten day study to drive an understanding of human behaviour using different signals – tracking sleep, heart rate, locations, web browsing and emotions.
I feared I was too time poor to keep up with regularly answering emotional survey questions (I have two small children of one and four years old). Plus, the feeling of total exposure was subconsciously weighing me down even though everything was recorded anonymously. However, everyone else’s enthusiasm to be part of it plus the incentive of owning my own Fitbit device won me over. Continue reading An emotional response to a technical device – my wearables experience!
Data science is undoubtedly a powerful tool for businesses. It promises to make them smarter, engage with their customers better, improve how staff are managed, increase sales and plan effectively for the future.
However, data science only has value if the insights that are gained are accurate and the right action is taken. Making the wrong assumptions, mistaking correlation for causation or becoming the victim of confoundedness (more on that later), will send a business down the wrong path, possibly with disastrous consequences. Continue reading Making data science work for you
If the Internet age has taught us anything, it’s that where there is information, there is money to be made. With so much personal information available and countless ways to use it, businesses and authorities will be faced with a number of ethical questions.
In a fully “smart” city, every movement an individual makes can be tracked. The data will reveal where she works, how she commutes, her shopping habits, places she visits and her proximity to other people. You could argue that this sort of tracking already exists via various apps and on social-media platforms, or is held by public-transport companies and e-commerce sites. The difference is that with a smart city this data will be centralized and easy to access.
Continue reading Smart Cities mean smarter marketing
This blog was inspired by George, one of the data scientists in my team. He has a perfect seat in the office, hidden in the corner behind a monitor where he can shut himself into his own data world. He calls himself a doer and he does great hard core data science. Some people call him George – half man – half desk as he is a very hardworking guy. He has all the stereotypical qualities of a man: clumsy, never stressed and unable to multitask. He drifts away into his data science world easily and as a result conversations and jokes often go over his head. This is all down to his devotion to statistics and knowledge for which we admire him. Continue reading Does the nothing box exist?
Consumers are demanding. Demanding better service from businesses, more personalised marketing, and more understanding from retailers of what they want and when they want it. This poses a problem for retailers that have both physical shops and online offerings. Today’s customer is increasingly expecting that the online offering and the bricks and mortar shop of a brand have the same understanding and knowledge of them. To make this happen, retailers need to be able to marry the data they gather in the physical and online world. Continue reading Uniting physical and digital retail