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 a modern business architecture was developed to leverage new technologies and align organizational change projects in this BBC 2016 presentation by Andrew Ray, VP Business Architecture & Change Management, Goldman Sachs & Co. and Gagan Saxena, VP & Principal Consultant, Decision Management Solutions.
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.
The key features of this modern business architecture include a direct performance traceability, a model-driven approach and a focus on making the systems intelligent through automated decision-making. Furthermore, unlike traditional business architecture definitions, these models are ready to scale by leveraging big data, analytics, business rules and more.
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