ENTERPRISE PERFORMANCE MANAGEMENT SYSTEMS
Strategic Planning
What if you could make strategic decisions based not only on what has occurred or is likely to occur in the future, but through targeted recommendations based on why and how things happen? Prescriptive analytics technology recommends actions based on desired outcomes, taking into account specific scenarios, resources and knowledge of past and current events. This insight can help your organization make better decisions and have greater control of business outcomes.
Prescriptive analytics is the next step on the path to insight-based actions. It creates value through synergy with predictive analytics, which analyzes data to predict a future outcome. Prescriptive analytics takes that insight to the next level by suggesting the optimal way to handle that future situation. Organisations that can act fast in dynamic conditions and make superior decisions in uncertain environments gain a strong competitive advantage.
IBM prescriptive analytics solutions provide organisations in commerce, financial services, healthcare, government and other highly data-intensive industries with a way to analyse data and transform it into recommended actions almost instantaneously. These solutions combine predictive models, deployment options, localised rules, scoring and optimisation techniques to form a powerful foundation for decision management. For example, you can:
Prescriptive analytics is the next step on the path to insight-based actions. It creates value through synergy with predictive analytics, which analyzes data to predict a future outcome. Prescriptive analytics takes that insight to the next level by suggesting the optimal way to handle that future situation. Organisations that can act fast in dynamic conditions and make superior decisions in uncertain environments gain a strong competitive advantage.
IBM prescriptive analytics solutions provide organisations in commerce, financial services, healthcare, government and other highly data-intensive industries with a way to analyse data and transform it into recommended actions almost instantaneously. These solutions combine predictive models, deployment options, localised rules, scoring and optimisation techniques to form a powerful foundation for decision management. For example, you can:
- Automate complex decisions and trade-offs to better manage limited resources.
- Take advantage of a future opportunity or mitigate a future risk.
- Proactively update recommendations based on changing events.
- Meet operational goals, increase customer loyalty, prevent threats and fraud, and optimise business processes.