Machines thinking on their own present a number of anxieties in the workplace. Perhaps the most significant anxiety is the loss of work. Loss of work within factories is more than an anxiety, it is a reality.

Businesses have long recognised the importance of using data analytics to improve the customer experience. The focus on customer-orientated analytics has, however, resulted in businesses failing to harness the power of their data to optimise their operational processes and significantly improve margins – although this is changing.

Analytics runs all business, yet it’s so often obfuscated. To make it real is a journey of discovery – first, establish a hypothesis, second, build an understandable context and third, act after you have continued to question the problem to conclusion. It’s a Tsunami! Data is estimated to be doubling in size every 2 years.

It goes without saying that every successful business needs to be in full control of their finances - both income and expenses. To thrive in the current economic climate, businesses must make effective use of all the data their business produces.

‘Business Analytics’ is often portrayed as the latest miracle cure for managers wanting to improve corporate performance. But like most IT-based capabilities, the hype is often in the realms of fantasy, which can never be realised. However, analytics is a capability that can bring tremendous value to those organisations who understand how and when it can be applied.

The role of planning is to help manage what can be controlled (i.e. the organisation’s business processes, the resources it applies to those processes, and the volume and quality of work done in those processes) to produce outcomes that will achieve organisational objectives, within an uncontrollable and unknowable external environment.