What Causes Low Business Intelligence ROI?

Understanding causes of low BI ROI in healthcare can help you make better BI decisions. Below is a list to get you started:

  • Data Silos: Fragmented information lies in various EHRs, which limits data that is extracted for analysis.
  • High setup and maintenance costs: Choosing an expensive BI solution for your company, especially for small to medium-sized businesses, is problematic.
  • Missing, undefined or changing BI vision: Uncharted BI vision increases the IT overhead for operations and ongoing change management. It is also impacts the prolonged development cycle, which puts BI projects at risk.
  • Too many BI tools/infrastructures: BI tools are expensive and require additional hardware infrastructure. Each tool needs a set of administrative efforts that are typically not considered while procuring the BI tools.
  • Mortality rates of analytical algorithms: It takes a long time to develop clinical algorithms, and mortality associated is very high.
  • Lack of automated data: Lack of automation on data quality checks leads to manual data corrections, and bad data leads to bad analytics and faulty conclusions.
  • Substandard ETL and BI coding: Code developed using substandard data increases maintenance efforts and has a high operational cost. Many organizations spend 40–50 percent of their available capacity on either maintaining or keeping BI live.
  • Underestimating existing capabilities: Failing to understand how current IT infrastructure and resources could be leveraged to reduce cost estimates causes a missed opportunity to make a project more attractive to business executives.
  • Forgetting that change is constant: Regardless of the accuracy of the initial project estimates, the numbers should be updated and communicated to reflect reality.

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