Reasons for failure of Data Analytics

More than half of all projects aren't completed within budget or on time. An analytics initiative can fail for a variety of factors: First, there are misconceptions about analytics. It's also not about data. Rather, it's a way to predict future strategies and support decision-making. Second, analytic projects fail when the data quality is inferior. Third, states and localities suffer from a talent shortage when it comes to finding people who can successfully run an analytics project in the public sector. Last, measuring the impact of analytics in government is  more complex than in the private sector. For more read: http://www.governing.com/columns/tech-talk/gov-data-analytics-failure.html