Bridge the gap between insights and action with predictive and prescriptive analytics

What is prescriptive analytics?

Prescriptive analytics provide organizations with recommendations around optimal actions to achieve business objectives like customer satisfaction, profits and cost savings. Prescriptive analytics solutions use optimization technology to solve complex decisions with millions of decision variables, constraints and tradeoffs. Organizations across industries use prescriptive analytics for a range of use cases spanning strategic planning, operational and tactical activities.


Improve operations

Optimize product planning, reduce inefficiencies and drive smarter operational decision-making.

Manage resources more efficiently

Better utilize capital, personnel, equipment, vehicles and facilities.

Mitigate risks

Gain insight into how decisions can have business-wide impacts and hedge against data uncertainty.


IBM® ILOG® CPLEX Optimization Studio

Provide a model development toolkit for rapid development of decision optimization models using mathematical and constraint programming.

IBM Decision Optimization for Watson Studio

Combine optimization and machine learning techniques in a unified environment to build the optimal action plan and meet business goals.

IBM Decision Optimization Center

A configurable platform for building and deploying applications to solve complex planning and scheduling challenges.

IBM Decision Optimization in Watson Machine Learning

Harness the power of decision optimization engines on the cloud to solve mathematical optimization problems.

IBM ILOG CPLEX Optimizer for z/OS

Solve mathematical programming models, like MIP/MIQCP, using CPLEX® Optimizer on z/OS®.


Deploy and configure IBM Decision Optimization Center applications on Red Hat OpenShift

Make smarter decisions using an interactive and preconfigured environment, with a step-by-step guide on how you can deploy and configure IBM Decision Optimization Center on Red Hat® OpenShift®.

How prescriptive analytics delivers better financial services

Learn about use cases for optimization in financial services.

What is optimization and how does it improve planning outcomes?

Learn about the power of optimization solutions to facilitate better planning decisions.

How to improve manufacturing ROI with prescriptive analytics

Learn how manufacturing firms are making better decisions using prescriptive analytics.

Prescriptive analytics – the cure for the healthcare industry

Read how healthcare processes can be improved using decision optimization technology.

Key decision optimization technology use cases and concepts

Learn about optimization concepts, their applicability across industries and how IBM can help.

IBM Decision Optimization

IBM Decision Optimization is a family of prescriptive analytics offerings that helps organizations solve their toughest decision-making problems by providing tools to convert business problems to optimization models. IBM Decision Optimization provides powerful optimization engines that help solve a variety of optimization models.

Client success

ÇimSA used data science to optimize decision-making

ÇimSA used CPLEX Optimization Studio to improve customer service and reduce cement manufacturing, warehousing and distribution costs.

Bulk transportation company delivered comprehensive service

IBM helped create huge cost savings and growth at a leading bulk transportation company by finding efficient routes in near real time.

BondIT helped financial advisors accelerate time-to-market

IBM technology helped create smart fixed-income portfolios in minutes to deliver greater value to investors.

Related products

Predictive analytics

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.

Machine learning

Infuse continuous intelligence into your enterprise applications using machine learning to help dramatically improve the productivity of your data science team.

Planning analytics

Still taking a manual, trial-and-error approach to planning? Accelerate planning cycles and improve plan quality with IBM Decision Optimization.

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