The ability to analyse and interpret data is becoming an increasingly critical factor in driving commercial innovation and success. Businesses are collecting data on a scale previously unseen, but if you want to understand and use your data, how do you go about it?
read moreWhen dealing with data it generally pays to be curious, rather than take them at face value. Blindly analysing the data without properly understanding their provenance and context can lead to surprisingly misleading results, especially if there are influential factors that you either ignore or fail to record.
read moreWe regularly analyse data to help our clients gain key insights so that they can make effective decisions. In many cases, clients will be interested in the results for different scenarios and we've been developing the capability to enable our clients to interact with their data via online interactive tools or web apps.
read moreThere has been a dramatic growth of new roles such as “data scientist” and “informatician” that were all but unheard of just a few years ago. But what distinguishes the role of a data scientist from that of a statistician, informatician or analyst? What do these different groups actually do?
read moreThis lighthearted cartoon from XKCD makes an important point about classical hypothesis testing: if you test enough things you’re bound to find something that’s significant. To avoid this and many other pitfalls of a naive application of statistical methods, it is important to seek statistical advice.
read moreI remember my grandfather asking me which was better: a clock that was always 10-minutes behind, or one that had stopped completely. I confidently told him that the slow clock would be better but, tongue-in-cheek, he argued that at the least the clock that had stopped told the right time twice a day!
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