Prescriptive Analytics is an advanced analytics technology that can provide recommendations to decision makers and help them achieve business goals by solving complicated optimization problems.
Prescriptive analytics helps organizations make better decisions by optimizing trade-offs between business goals, such as costs or customer service, while considering predictions, rules, and constraints on available resources, to recommend the best course of action, whether you want to decide on a configuration, a design, a plan, or a schedule.
Gain insight into how decisions can have business-wide impacts and hedge against data uncertainty
IBM Decision Optimization
Take your planning and scheduling decision-making to the next level. Build and solve optimization models using prescriptive analytics solutions from IBM that provide powerful optimization engines, integrated modelling environment and support for multiple programming languages
Predictive analytics brings together advanced analytics capabilities to help organizations discover patterns in data and go beyond knowing what has happened to anticipating what is likely to happen next.
Smarter, sustainable forest road management with IBM Analytics
The College of Environment at the University of Washington leverages prescriptive analytics solutions from IBM to develop algorithms and solve complex problems related to optimizing the forest road network while supporting highly efficient timber harvests