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 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 technologies—machine learning, artificial intelligence (AI), business rules, optimization, decision support, and decision modeling—into a virtual decision hub that automates and improves every digital interaction and delivers agile, data-driven, real-time outcomes.