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What is Decision Management?

Modern-day business operations are centered around processes and data. However, when knowledge and expertise are forced into hard-coded, inflexible systems, bottlenecks occur. By adopting and scaling the capabilities of business rules, decision modeling, and machine learning, Digital Decisioning leverages data and expertise to create business value, improve results, and deliver a great user experience to effectively meet today’s operational requirements. For Digital Decisioning to deliver true value, it must initially focus on solving business problems that will, ultimately, contribute to positive and desirable business outcomes. Technology, automation, and methodologies are essential for Digital Decisioning, but they are always at the service of business decisions. 

The foundation for successful Digital Decisioning projects is applying a Decision Management approach. Decision Management models business decisions first. These decisions, for the most part, have to do with customers and how you engage with them, deliver services to them, or handle their transactions.Once you have a good grasp of what decisions your business needs to make and how these decisions will advance your business, Decision Management shows which technology and analytics tools you need to invest in and how to integrate them. Finally, Decision Management focuses on the processes and infrastructure needed to ensure continuous improvement and business engagement. To maximize success, adopt a proven approach such as the DecisionsFirst™ approach from Decision Management Solutions.

Decision Management References - Briefs

Decision Management

Business Decision Experimentation – Effective experimentation is critical in digital decisioning. Using Decision Management to deliver digital decisioning offers real value in terms of improved consistency, accuracy, agility, speed and cost.

Why Decisions Matter – Organizational success or failure is determined by the decisions organizations make but they are handicapped by systems that are centered on business processes or functions.

Six Sigma and Decision Management – Decision Management easily integrates with Six Sigma, simplifying business processes and creating entry points to apply business rules and predictive analytics for powerful business improvements.


DecisionsFirst™ Insurance Claims Handling Solution. Insurance claims management is a complex business. Customers want their claims processed quickly and their claims to be approved. Carriers need to manage risk, avoid paying ineligible claims, keep operating costs low, and comply with myriad government regulatory requirements.

Robotic Process Automation (RPA)

Avoid Spaghetti Decision-Making With RPA. RPA is a set of software “bots” that automate routine and repetitive tasks at accelerated speed and efficiency. RPA performs time-consuming tasks that previously required human interaction. When used in conjunction with decision modeling and a Business Rules Management System (BRMS), it can significantly impact business outcomes. Read this brief to learn about the common applications, risks, and how to operationalize it.

Predictive Analytics

The biggest challenge facing organizations investing in advanced analytics – data mining, predictive analytics, data science, machine learning and all forms of analytics – is closing the gap between business value and analytics results. Adopting decision modeling for developing the business understanding and requirements keeps the focus on business problems, revives lost projects and brings clarity to analytic problems – even ones long thought too hard.

CRISP-DM and Decision Management – Smart companies know they need a methodology to succeed with new technologies. Advanced analytics and data science projects are no exception See how adopting CRISP-DM and decision modeling creates a decision-centric, repeatable approach.

Analytics Teams 5 Things You Need to Know Before You Deploy Your Model – Many Analytics Teams have experience with building what seems like a great model – valid, predictive, powerful – only to see disappointing or even non-existent business impact. What can you do? Make sure you can answer these 5 questions before deploying your model.

Analytics Teams 6 Questions to Ask Your Business Partner– Analytics teams know that one of their biggest challenges is effective communication and collaboration with their business partners. What can you do? Here are six questions to ask your business partner before you start modeling.

Business Rules

A decisions-first, decision modeling approach using the Decision Model Notation (DMN) standard is the best practice for business rules projects for implementing a modern BRMS and for scaling your scaling your business rules program.

4 Ways Decision Modeling with DMN Helps Your first BRMS Project Succeed  –  Building a decision model that is linked to the business context and then implementing this directly in a linked BRMS is faster and cheaper than using rules-first rulebook approaches. The decisions-first approach results in more accurate rules, more business engagement and faster time to value.

3 Reasons To Add DMN Decision Modeling To Your BRMS Program – Decision modeling isn’t just for the first BRMS project. Adding decision modeling to your existing BRMS Program addresses the key challenges of most BRMS implementations, dramatically improving traceability, business engagement, rule coverage and re-use.

Decision Modeling and DMN for IBM Customers – Decision Management Solutions offers a DecisionsFirst Approach to IBM Operational Decision Manager (ODM) and Decision Composer.

Decision Management Primer


Harness Data-driven Decision Making