Advanced analytics refers to analytical methods that go beyond standard descriptive reporting to apply statistical, predictive, and prescriptive techniques to business data. Advanced analytics includes methods such as statistical modelling, machine learning, predictive modelling, cluster analysis, and optimisation algorithms that extract patterns, make predictions, or recommend actions from data that standard business intelligence tools cannot surface through aggregation and visualisation alone.
Why This Matters
Standard BI tells you what happened. Advanced analytics helps answer what will happen, why it is happening, and what you should do about it. As organisations accumulate more data and develop greater analytical maturity, advanced analytics enables a qualitatively different class of insight — moving from monitoring past performance to anticipating future outcomes and optimising decisions. This shift from reactive to proactive decision-making represents a significant expansion in the value that analytics can deliver to management.
Where This Fits
This term sits within the BI & AI area of Performance & Control.
Related Terms
- Predictive Analytics
- Descriptive vs Predictive Analytics
- Analytical Model
- Business Intelligence (BI)
- AI in Finance
Related Knowledge
To be added when relevant Knowledge Hub articles are published