Dashboards Data Quality Publishing Scorecard 
Peter James Thomas
AUGUST 12, 2018
These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.
Jet Global
SEPTEMBER 1, 2023
These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability. Data Privacy and Security Concerns: Embedded predictive analytics often require access to sensitive user data for accurate predictions.
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