Hitting the right balance between the agility of self-service business intelligence (BI) and the trustworthiness of governance is difficult. What I often see is that users tend to ignore governance blinded by the aesthetics of self-service visualization tools. As we all know, all that glitters isn’t gold, so how do
“IT does not deliver, the department does not know what it wants by way of data today or tomorrow.” This is a regular complaint, and usually results in departments turning to self-service for their information requirements. Information workers are still around, but they no longer have all the answers. Instead,
Citizen data scientists: WE NEED YOU! First let me ask you a question. Did you know that Miss America’s age is closely correlated with the number of murders by steam and other hot items? Or that the stork population is related to the birth rate? If your immediate reaction to
The traditional relationship between analytics and creativity might best be described as a state of ‘creative tension’, or perhaps, to put it more crudely, analytics getting in the way of creativity. Steven Hofmans argues that Mad Men need to become Math Men, and this is a journey that is still unfolding.
Last week Alibaba splashed $2.6 billion, buying Chinese shopping mall operator Intime. This move is yet another step in its strategy strategy to focus on offline-to-online, and create a more seamless experience for its consumers. The coming scope and scale of digital disruption is breathtaking. The integration of design, product management
“SAS Institute’s data scientist program gave and reinforced the knowledge we lacked to conduct the necessary changes in order to become the analytical organization we want to be” Elis Rosén, Head of Analytics at Hi3G. Getting the impact of analytics, big data and digitalization is not only about adopting new
In my new series of posts I will outline typical business problems from manufacturing companies that originate in uncertainty and explain how Analytics is an enabler for improved supply chain transparency, improved stability and – at the end of the day – improved profitability. The main objective for manufacturing companies
We kick off 2017 with excitement about big data and analytics still at fever pitch. Thankfully the discussion has now moved to business impact, and explores how good use of analytics is vital to make money, save money, and maintain competitive advantage. Data scientists now they have the sexiest job
Data, it has been said, is the new oil. Indeed, according to Gartner, 90% of organisations apparently believe that data is an asset. But just having lots of data is not enough to ensure success: you also have to know how to use it to generate value. And in this
We sometimes talk about having trouble ‘seeing the wood for the trees’, meaning that you can get so wrapped up in the detail of what is around you (the trees) that is hard to see that they make a wood. The same goes for data. It is easy to get
