The phrase “predictive analytics” holds a lot of promises—about solving problems before they occur, better service outcomes, targeting scarce resources, supporting decisions and improving responses in time critical situations.

With so much opportunity available, how can government start to consider the risks and benefits associated with this technology?

There is a lot of hype around data. It is billed as a route to better citizen service, faster business decisions and overcoming enterprise silos. But it’s not that easy; every data decision is dependent on resolving the lack of trust, misalignment and data silos.

As outlined in our previous blog, Data virtualisation and efficiently exploiting the power of the information contained in an organisation comes with its own challenges. In this blog, I’ll outline some of the challenges I have experienced and give some tips on how to navigate your way through if you have similar issues.