Business intelligence evolved from static reports prepared by specialists into self-service platforms that integrate sources, reveal patterns and support frequent decisions. Cloud and AI expanded access, but they also increased the need for governance.
Technology does not replace definitions
A dashboard is trustworthy only when people agree on metrics, sources, frequency and ownership. Predictive models can anticipate behavior, but they require representative data and continuous evaluation of errors and bias.
The next stage of BI connects information to action through alerts, scenarios and workflows. To reach it, companies must first solve quality, traceability and adoption, while keeping people accountable for the decision.
Adapted from the original RDS article: reddesignsystems.com