What Are the Challenges in Data-Driven Decision Making?
Despite its benefits, DDDM also comes with challenges:
Data Quality: Poor-quality data can lead to inaccurate insights. Data Overload: Too much data can be overwhelming and difficult to manage. Lack of Skills: There may be a skills gap in understanding and interpreting data effectively. Resistance to Change: Employees may resist adopting a data-driven approach due to a lack of understanding or fear of change.