What is Decision Management?

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.

The Decision Management Manifesto

To help organizations like yours transform their existing systems and applications with the utilization of digital decisioning and machine learning, we published this Manifesto to explain the philosophies and methods of our approach in detail.

Decision Modeling

Decision modeling with the Decision Model Notation (DMN) standard is the cornerstone technique for developing the requirements of next-generation systems and processes. Learn how it enables and combines the right mix of technologiesmachine learning, artificial intelligence (AI), business rules, optimization, decision support, and decision modelinginto a virtual decision hub that automates and improves every digital interaction and delivers agile, data-driven, real-time outcomes.

Business Rules

Decision Management simplifies business rules analysis and BRMS implementation, making it easier to get the requirements right; know where to draw automation boundaries; and re-use, evolve, and manage rules beyond the first business rules project. Learn More.

Predictive Analytics

Established analytic approaches such as CRISP-DM stress the importance of understanding the project objectives and requirements from a business perspective. To date, there are no formal approaches for capturing this understanding in a repeatable, understandable format. Decision Management closes this gap. Learn More.

Business Process

Identifying and modeling the decisions within a business process using the new Decision Model Notaton (DMN) standard and automating them using business rules are critical next steps for greater efficiency and effectiveness in organizations today. Learn More.

BI Dashboards & Reports

BI dashboards and reports are known as Decision Support because they support business decisions made by business users. However, the requirements and design of these systems rarely consider decisions explicitly. Decision management creates an uncluttered dashboard design, providing a logical structure for going beyond information presentation to predictions and recommendations so users can progress from “What happened?” to “What action can be taken?” Learn More.

Decision Management Solutions

We provide a complete set of consulting and training for Decision Management to position you for short- and long-term success. Our decisions-first comprehensive approach matches business drivers to decisions. Projects find the right places to apply the new capabilities of business rules and predictive analytics, rapidly identifying the high ROI applications and clarifying the organizational and business process context for its application. Our approach is optionally supported by our collaborative decision modeling software, DecisionsFirst Modeler. Learn More.