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Register for one of Sparkling Logic’s upcoming webinars or watch on-demand webinars.

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Dynamic Questionnaires for Higher Interactions

questionnaire process

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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 so the state of the conversation with the user has to be persisted in data and passed back to the rule engine for each interaction. Read More »

Decision Management with Microsoft Excel Spreadsheets

Spreadsheet

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Spreadsheets have been used for many years to store business knowledge and capture the business rules as requirements for an implementation project. Many businesses continue to maintain their decision logic in this well-known format. Read More »

Modeling Decisions with PENCIL Decision Modeler

Pencil

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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 »

Actionable Analytics: The Convergence of Rules and Analytics to Drive Business Decisions


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Watch this one hour webinar to learn about the convergence of business rules and analytics. Leading organizations are combining these technologies to improve decisions related to dynamic pricing, next best action, fraud detection, and credit risk. Read More »

Deliver Projects On Time


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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 »


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