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.
Learn how leading organizations have implemented decision management to operationalize predictive analytics, deliver agility through business ownership of business rules, innovate their business processes, and make their dashboards more active and decision-centric.
An IIA Leading Practices Brief
This global leader in information technology’s centralized data science team adopted decision modeling as a key part of the business understanding phase of the CRISP-DM methodology, improving business collaboration and engagement, reducing project times and re-focusing efforts. Learn more.
A global leader in financial services leverages Decision Management to improve the efficiency and effectiveness of their back-office operations. They use decision modeling as a best practice to define decision-making and business rules requirements. The result? More straight-through processing, more efficient use of staff, and greater agility, as well as a new decision-based business architecture in mission-critical use cases, such as regulatory compliance and exception handling. Learn more.
The Finnish Tax Administration (FTA) adopted decision modeling to fill the gap between process models and business rules in the most extensive project ever undertaken by the FTA.
Decision modeling was quick to implement and has made it easier to evaluate rules, to view the overall process picture, and to communicate to stakeholders. Learn more.
Challenges with clinical guidelines documents such as information overload, varied implementation and difficulty to maintain led this leading healthcare provider to decision modeling to develop clinical decision services. The studies and research available could now be combined into a single decision model, deployed using standard decision services developed with a BRMS. Learn more.
A modern business architecture was developed to leverage new technologies and align organizational change projects. This ground breaking business architecture goes beyond current definitions by allowing for modern business models that incorporate decision modeling and the Decision Modeling and Notation (DMN) standard. Learn more.
Decision Modeling Best Practices
This Decision Management Solutions case study outlines how a major global financial institution broadly adopted decision modeling and the Decision Model and Notation (DMN) standard as their best practice to define decision-making and business rules requirements. Learn more.