Enterprise Scale Analytics with R

As R has become more popular, the role of analytics has become increasingly important to organizations of every size. Increasingly, the focus is on enterprise-scale analytics—using advanced, predictive analytics to improve every decision across the organization. Enterprise-scale adoption of analytics requires a clear sense of analytic objectives; an ability to explore and understand very large […]

Next Generation Claims Systems

Decision Management delivers next generation claims systems that act immediately, increase agility, consistency and accuracy, improve customer satisfaction, speed response and reduce costs. Insurers can achieve significant speed-to-market gains, reduce fraud and create innovative new claims processes. Today’s insurance claims systems deliver value to insurers by increasing efficiency through business process automation and workflow. The […]

Decision Modeling Closes the Gap Between Processes and Business Rules

In this firsthand account, Timo Laukkanen, Process Director at the Finnish Tax Administration (FTA), describes how decision modeling has filled 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 […]

Simplify Legacy Modernization with Decision Management

Many companies today are focused on modernizing their legacy applications, but this largely consists of taking assembler or spaghetti COBOL and turning it into more efficient, better structured COBOL. Unfortunately, these applications will still be hard to edit, hard to change, and won’t deliver the strategic agility that companies need. Decision Management builds on SOA […]

The Case for Centralized Customer Decision Management

Effective acquisition, retention and development of customers has never been more important. Leading companies regard every interaction with a customer as an opportunity to establish a dialogue and build or extend a relationship. A good customer dialogue develops over time and across channels. Along the way, marketers must make many decisions about how to treat […]

Decision Modeling for Dashboard Projects

Decision modeling provides a formal framework to design dashboards that link explicit decision making to the knowledge required for them. Dashboards are decision support systems but their design does not usually consider decisions. Most designs are driven by user interface and information visualization requirements and by the underlying data models. A dashboard design based on […]

Business Process Transformation with Decision Modeling

Organizations are optimizing their operations with decision modeling, creating a streamlined and more agile business. Decision-led process innovation results in: Operational efficiency Agility Business-IT alignment Leading organizations are adopting decision modeling with the Decision Model and Notation (DMN) standard to improve operational efficiency, agility and business-IT alignment. Decision modeling gives enterprise architects and business process analysts […]

The MicroGuide to Process and Decision Modeling with BPMN/DMN – Free Chapter

The MicroGuide to Process and Decision Modeling in BPMN/DMN offers extensive coverage of the important topics related to business process and decision modeling, including quick guides to BPMN 2.0 and DMN 1.0; a comprehensive framework for integrating decision, event, and process modeling; and process and decision discovery through effective requirements gathering techniques. Quick guides to BPMN […]

Predictive Analytics in Retail: Building Customer Engagement and Loyalty

The challenge for retailers is determining where to focus their predictive analytics and decision management efforts. They need to understand the real-world decision-making scenarios that predictive analytics can address across three strategic areas – building customer engagement and loyalty, controlling costs and driving a successful strategy for growth. Building Customer Engagement and Loyalty: How do […]

Standards in Predictive Analytics

The Role of R, Hadoop, and PMML in the Mainstreaming of Predictive Analytics Just a few years ago it was common to develop a predictive analytic model using a single proprietary tool against a sample of structured data. This would then be applied in batch, storing scores for future use in a database or data […]

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