Some business leaders clearly do not know enough about the detail of what they say. Especially when it comes to assertions about data. In the past few days I heard two very senior people talk about the “future” of their business through data. They spoke of rich long term relationships

Algorithms? Mathematics? The merest hint of these ideas is enough to dampen the ardour of even the most determined digital suitor. But data can be sexy. Fascinating. And even – kind of fun. We’ve been conditioned through school, university and corporate culture to see figures and ‘data’ as boring, the

Something is wrong. Here we have the most transparent and technically measurable form of marketing ever devised, and yet study after study suggests that there is genuine ambiguity about the effectiveness of the medium. Does it work? What’s your return on investment? How do you know that you spent your

Returns from the trillion dollar global marketing spend could be improved by between 10 and 20 per cent through better application of big data technologies, according to management consultants McKinsey & Company. In an infographic to complement research from late last year the company says the stats showed that big

Burgeoning demand in Australia for analytics professionals is driving salaries for high-quality practitioners upwards with average salaries bursting through six figures. Data science salaries now double to national average. According to the Institute of Analytics Professionals of Australia (IAPA) 2013 Skills and Salary Survey Report, the median salary for an analytics

They are hard wired. “Millennials”, “the net generation”, “Generation E” are all interchangeably used to describe the cohort of children born post 1984, children and young adults who are also described as the ‘digital natives’. They are the ‘always on’ generation who have grown up with technology always present and

More evidence of both the increasing demand for data scientists and the paucity of those same skills in the Asia Pacific region. Research commissioned by Hitachi Data Systems and conducted by The Economist’s Economic Intelligence Unit into big data has found the single biggest impediment to the adoption of big

As more people live more of their lives online, the demarcation between public and private has become blurred.  Despite better information security, entreaties from cyber crime task forces and a general level of awareness amongst the population, the average consumer leaves vast chunks of their lives exposed through various digital

Big data is an insider’s game. The skills, the budgets and mostly the incentives tend to limit its discussion to practitioners and their corporate sponsors. When discussion  does leak into the public domain its usually for the wrong reasons – from vague concerns that Facebook might be sharing just a

Humans are verbal beings, and respond best to narrative. Stories contextualise, frame and explain the meaning of quantified results – and help analytics teams gain buy-in and support from non-technical areas of the business. Alas, this storytelling gene isn’t all that common in analytical thinkers, as Neil Mason, SVP of