AAG helps derive Outcomes-Driven, Incremental Value, utilizing
HARVESTING
All of the above initiatives will be successful, if proper focus is given to build a strong foundational Data Management Platform.
Depending on the Use Case, any combination of above Analytics are used to derive actionable insights.
In order to successfully harvest valuable outcomes from Analytics, an essential prerequisite is to ensure the Data Management Foundation is strong and has a sound, scalable, and modular architecture for the future.
For a comparison of the 3 types of analytics, and the underlying data foundation needed, see the table below.
HARVESTING
- Descriptive Analytics (BI Metrics, Alerts, Triggers, Scorecards, Reports, Dashboards)
- Predictive Analytics (Classification, Prediction, Discovery Modeling)
- Prescriptive Analytics (Simulation What-Ifs, Optimization Modeling)
All of the above initiatives will be successful, if proper focus is given to build a strong foundational Data Management Platform.
Depending on the Use Case, any combination of above Analytics are used to derive actionable insights.
In order to successfully harvest valuable outcomes from Analytics, an essential prerequisite is to ensure the Data Management Foundation is strong and has a sound, scalable, and modular architecture for the future.
For a comparison of the 3 types of analytics, and the underlying data foundation needed, see the table below.
