Nigel Paine - The Learning Challenge

Coming to terms with big data and learning analytics

The age of big data

http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html?pagewanted=all&_r=0

Why big data matters

http://www.forbes.com/sites/gregsatell/2013/10/11/why-big-data-matters/

Get up to speed on big data with this look at its founding principles and the leading thinkers who have helped shape thinking on data analysis. From Carl Friedrich Gauss’ ‘method of least squares’ to Ronald Fisher and Six Sigma, right up to Nassim Taleb’s thinking around statistical significance and the Bayesian approach to strategy, this explains why management decision making will never be the same again.

Reading time: 3 minutes

Acting at the speed of data

http://click.accenture.com/article/acting-speed-data/?c=anlyt_smtwtfy13_10000056&n=smc_0313&sf13665532=1

‘Data velocity’ is one of the seven major themes of the Accenture Technology Vision 2013. Here Accenture explains that competitive advantage from big data will be derived from the speed of response to what data is telling you. For organisations, this means using the right tools to deliver real-time insight that can then be turned into action.

Reading/watching time: 3 minutes

Big data – why it matters to learning and talent

http://www.learningandperformanceinstitute.com/userfiles/files/pdf/Big%20Data%20-%20Why%20it%20Matters%20to%20Learning%20%26%20Talent.pdf

Director of research at KnowledgeAdvisors, John Mattox, has written a white paper on big data and why it matters for L&D teams. Echoing Accenture’s point about providing real-time insights, Maddox says big data provides L&D with the opportunity to identify relationships between data sets that will provide actionable business insights. For example, do the number of training days equate to increased employee retention.

Reading time: 5 minutes

Big data: What’s your plan?

http://www.mckinsey.com/insights/business_technology/big_data_whats_your_plan

Indepth piece from McKinsey on how to get big data projects off the ground. They suggest developing a plan that focuses on the data to be collected, the analytic models that will be used and the tools that will need to be developed to ensure frontline employees understand and use them.

Reading time: 15 minutes

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