Operationalizing AI: Beyond AI Pilots with Digital Decisioning
Businesses are made or broken by the quality of the decisions they make. How well does this offer target this customer? Does this machine need to be serviced now or can it wait? Is this transaction legitimate or suspicious? Will this customer make the payment they...
Decision Modeling for Business Rules Projects
In our latest white paper, we explore the tools and techniques needed for scoping and managing business rules projects. The decision management approach to business rules begins by looking at business performance drivers, identifying the decisions that are impacting...
Building an AI Enterprise
In this white paper, we outline best practices for using AI to improve individual transactions and customer interactions. We consider the challenges and opportunities of AI, how AI can be applied to decision-making, why it’s essential to shape AI projects...
Agility and Efficiency with Decision Modeling
Decision modeling is the proven requirements gathering and documentation approach that bridges the gap — between business process, business rules, and artificial intelligence (AI), machine learning, and predictive analytics technologies — for true Digital Decisioning....
How to Succeed with AI
AI is a decision-making technology. A focus on decisions, not a separate AI initiative, delivers business value and a strong ROI. As companies invest in artificial intelligence (AI) and machine learning, it is clear that a technology-led approach does not work. To get...
Enabling the Predictive Enterprise
Today it seems that everyone is talking about Predictive Analytics and Machine Learning. Organizations of every size and in every industry are investing to compete in this new world. For most organizations this means adopting new analytic capabilities. Most...
New Approaches for CDS
Using Proven Industry Standards for Clinical Decision Support. Clinical Decision Support (CDS) is a foundational capability to reduce cost and improve outcomes. It has long been a strategic and high-priority initiative across most healthcare providers. There have been...
Innovation in Insurance: Profit by Focusing Innovation on Decision-Making
The most important decisions are made every day. Insurers that adopt a decision-centric approach to analytics and artificial intelligence are improving business outcomes. Setting the stage There has been a level of frustration and insecurity in the past few years...
Maximizing the Value of Business Rules
Decision Management streamlines and focuses business rules projects for faster, more effective deployment. Business Rules Management Systems (BRMS) deliver on the promise of costs savings, agility and happy customers. Yet for many organizations, these efforts remain...
Decision Modeling with DMN
Decision Requirements Models based on the Decision Model and Notation (DMN) standard deliver a powerful ROI by improving processes, effectively managing business rules projects, framing predictive analytics efforts, and ensuring decision support systems and dashboards...
Framing Analytic Requirements with Decision Modeling
How to achieve analytical, data-driven decisions with decision modeling and the Decision Model and Notation (DMN) standard. The value proposition of analytics is almost always to improve decision-making. Being explicit about the decision-making to be improved is an...
Putting Predictive Analytics To Work in Operations
Small operational decisions, especially those about customers, are made over and over. The value of these decisions rapidly adds up. Making these decisions well is critical to business performance. Maximizing the value of each operational decision is at the core of...
Enterprise Architecture from Agile to Analytic
Decision Management Systems combine business rules and advanced analytics technologies to deliver an agile, adaptive and analytic enterprise architecture. Enterprise Architects are chartered with fitting business rules and analytic technologies like data mining and...
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...
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...
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...
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...
Rapid and Cost Effective Financial Compliance with Decision Modeling
How Decision Modeling and Business Rules Meet Key Challenges in Financial Compliance Decision modeling and business rules are a powerful combination for agile and cost effective regulatory compliance. Decision modeling gives business rules architects and analysts a...