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Why decision management? Learn how organizations use this technology to make better decisions that more effectively manage risk and improve customer experience. Indeed, decision management has emerged as the key discipline to strategically manage automated business decisions. With decision management the code responsible for making decisions is treated as a separate asset. Decision management is to business decisions what process management is to business processes and database management is to business data. Read More »
When websites need to collect information for decision-making based on user responses people often think of using rules to drive the sequence of questions. Rules simplify the complex logic often required to drive these interactions. However, they don’t have a mechanism for interacting directly with the application UI. In addition, most rule engines are stateless. As a result, the state of the conversation with the user has to be persisted somehow, or the whole data may need to be reprocessed for each interaction. Read More »
Decision modeling helps you capture and document key business decisions that are made on a regular basis in your business. By discovering and documenting these decisions you can gain insight into what is driving your key business operations and you can begin to analyze, improve, and potentially automate these decisions. Read More »
Modeling and implementing regulatory requirements into operational systems can be slow and error-prone. Decision Modeling, following the Decision Model & Notation (DMN) standard improves requirements specifications for operational decisions by uncovering the business rules that define those decisions. In addition, it lends itself to the creation of testable requirements and test cases. Introducing real data to decision models allows you to uncover missing or implicit requirements and results in higher quality implementations and shorter project timescales. Read More »
Equifax’s InterConnect empowers businesses to optimize credit and risk decisions in today’s complex marketplace where new data sources, dynamic technology and operating environments, and evolving customer risk, demand automated decisions with agile, real-time functionality.
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