$Billions are invested in BI & Analytics each year yet there is evidence of disappointing returns- operational & financial- see "Damning analysis of Analytics".

One reason is definitely lack of planning which is covered in the article link below. Others are:-

  • Line of Business People licensing products with no idea about data sources and integrity
  • No access to important data- especially unstructured.
  • Focus on pretty visualisation rather than actionable insights
  • Lack of context- unless embedded in enterprise apps analytics are remote and ignored
  • Cognitive bias- the tendency to want BI & Analytics to reflect a person's biased ideas.

I explore these themes at www.analytics.world  

If you want to be effective decision makers at least ,make sure you plan well as described below and don't even think about AI, predictive analytics, streaming data, big data analytics until you do so.