Data Analytics

With predictive models, many think the sole issue is picking the right technology, but the details of implementation are crucial.

Many companies focus on the wrong thing. More data isn't better. The right data is better -- and can greatly improve the customer experience.

The Towers Watson survey also found a huge spread in the use of predictive modeling -- but still plenty of room to grow.

The author accessed Indian analysts at a fraction of UK wages but ran into problems and eventually ended the analytics pilot.

Predictive analytics can be helpful but has two clear problems. Prescriptive analytics and complexity science provide the next leap forward.

As we climb the lighthouse stairs and see over the horizon, we need to keep the new data and analytics in perspective. Context is king.

There will be huge progress, including on machine learning and data visualization, but also new concerns on privacy and unpredictable types of losses.

Big data will bring three waves of change -- soon -- and they are already showing up in healthcare.