Learn how leading organizations have implemented decision management to operationalize predictive analytics, deliver agility through business ownership of business rules, innovate their business processes, and make their dashboards more active and decision-centric.
Decision Modeling Revolutionizes Business Understanding
An IIA Leading Practices Brief
This global leader in information technology’s centralized data science team adopted decision modeling as a key part of the business understanding phase of the CRISP-DM methodology, improving business collaboration and engagement, reducing project times and re-focusing efforts. Learn more.
Decision Modeling Closes the Gap Between Processes and Business Rules
The Finnish Tax Administration (FTA) adopted decision modeling to fill 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 overall process picture, and to communicate to stakeholders. Learn more.
Decision Modeling Rollout in Financial Services
Decision Modeling Best Practices
This Decision Management Solutions case study outlines how a major global financial institution broadly adopted decision modeling and the Decision Model and Notation (DMN) standard as their best practice to define decision-making and business rules requirements. Learn more.
Leading Financial Institution Embraces the Transformative Power of Decision Management
A global leader in financial services leverages Decision Management to improve the efficiency and effectiveness of their back-office operations. They use decision modeling as a best practice to define decision-making and business rules requirements. The result? More straight-through processing, more efficient use of staff, and greater agility, as well as a new decision-based business architecture in mission-critical use cases, such as regulatory compliance and exception handling. Learn more.
Streamlining Clinical Guidelines in Healthcare
Challenges with clinical guidelines documents such as information overload, varied implementation and difficulty to maintain led this leading healthcare provider to decision modeling to develop clinical decision services. The studies and research available could now be combined into a single decision model, deployed using standard decision services developed with a BRMS. Learn more.
Building a Modern Business Architecture
A modern business architecture was developed to leverage new technologies and align organizational change projects. 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. Learn more.
This Enterprise IT Quality Management Group at a Fortune 200 Financial Corporation wanted to develop dashboards that would better support decision making, integration, and visibility with a wider range of data sources. These dashboards are used to manage 100+ projects being released every 2 weeks into production across hundreds of critical applications ranging from mainframe, client-server, web, and mobile applications. Multiple dashboards and reports from various quality management, requirements, project management, cost management, and defect management systems needed to be organized logically to support critical operational and strategic decisions.
Decision Management Solutions developed a comprehensive set of Decision Requirement Diagrams using the new Decision Model and Notation (DMN) standard and DMN-compliant DecisionsFirst Modeler software that clarified requirements for organizing and presenting Information Sources and Business Knowledge Sources. A role-based partitioning of these diagrams was used to design Quality Management dashboards.
Explicit decision modeling helped create the perfect uncluttered dashboard design that included Role-based displays, with all required Information and Business Knowledge Sources presented in logical components. The graphical Decision Requirement Diagrams were invaluable in discovering gaps and in generating consensus. Ultimately, organizational decision-making was captured – and not just the individual subject matter expert decision-making. This led to consistency and compliance with regulatory and best practices requirements. HP-Application Lifecycle Management (HP-ALM) and Assure TotalView technologies were then used to implement these decision-centric, actionable Quality Management dashboards.
This major North American manufacturer wanted to expand its use of predictive analytics and improve quality in the complex, custom products they develop. Decision Management Solutions provided onsite decision management and decision modeling training, developed an initial decision inventory and laid out a decision management architecture. The decision models identified a roadmap of prioritized projects for high ROI predictive analytics projects with clear business benefits based on improving critical operational decisions.
A North American Group Life Insurer was adopting a Business Rules Management System (BRMS) as part of a major legacy modernization effort. A readiness assessment was conducted by the vendor and Decision Management Solutions. Decision Management Solutions identified the business decision points, described the business architecture, and documented critical business rules management best practices. The insurer’s use of a rule analysis tool and its analysis and design approaches were integrated and adoption recommendations made. In addition, Decision Management Solutions conducted a two-day workshop on the identification, design, and management of decisions. The team found that a focus on decisions and on the decision points within their business processes clarified their requirements for the BRMS implementation and improved the focus of their rule capture and documentation initiative.
A leading Software as a Service provider handling large numbers of consumer communications for its clients had begun an initiative to adopt a Business Intelligence platform. The company was concerned that its focus on implementing a Business Intelligence platform might limit its ability to subsequently adopt business rules and advanced analytics capabilities in the future. They wanted to ensure that a short-term focus on business intelligence did not create barriers to a longer-term strategy for true analytic decision management. In a rapid, focused project, Decision Management Solutions delivered a reasoned go/no-go decision on the Business Intelligence initiative, a prioritized description of future decision management opportunities, and suggestions and specific recommendations for how to approach these opportunities.
A major provider of software to the retail banking industry was planning to enhance its products using predictive analytics. The company wanted to understand the short and long term potential of analytics to its product portfolio, get an update on the available technology, and get input on the viability and effectiveness of its implementation plan. Decision Management Solutions reviewed the initial plans and design documents and then facilitated a working session with the key stakeholders and the development team. Decision Management Solutions outlined the market context for the effort, described the positioning of key competitors, and provided an assessment of the technology “state of the art,” along with introductions to appropriate technology vendors. The company subsequently conducted a POC with one of the recommended vendors and has successfully integrated predictive analytics into its offerings.
An employee health management program provider was moving from a legacy platform to one based on a business rules management system (BRMS). The company wanted to ensure it adopted best practices, integrated the BRMS as effectively as possible, and ramped up the team quickly. Decision Management Solutions conducted a two week readiness assessment, providing a detailed set of suggestions covering decision model, technical architecture, decision management approach, business rules best practices, guidelines, and technical advice specific to the BRMS. In addition, Decision Management Solutions provided ongoing mentoring in both Decision Management and the BRMS and conducted periodic reviews to ensure the project was progressing on time and budget. The project went live, having successfully integrated a BRMS into its go-forward architecture and empowered non-technical users to manage the rules involved.
Decision Management Solutions helped a Fortune 20 company turned its current call center scripts into customer-pleasing and efficient processes implemented in a combination of business process and business rules management software. Decision Management Solutions worked with the vendor and client teams to identify the critical decisions in the initial processes, models these decisions, develop an appropriate process to decision mapping, and show how the rules documented in the call center help guides could be effectively implemented in specific decisions.
This travel company was expanding its B2C business by improving consumer experience, adding intelligent personalization, and dynamically creating product packages – a dramatic shift from 35 years of selling wholesale-only through travel agents. This business model shift required a new business blueprint and technology. Decision Management Solutions delivered a focused effort to discover critical business decisions, model them, and map them to the business’ objectives and processes. Successful implementation was driven by this executive-level analysis, and with an understanding of the critical decisions, the power of business rules could be put to work. The company is now reinventing enterprise-wide business processes and driving successful technology implementation on the road to becoming a decision-centric organization.
A major North American Life and Health Insurer is developing a new systems architecture for its medical claims system. This architecture must allow existing and future predictive analytic models that predict fraud to be applied during claims processing, rather than after the fact as they are today. Decision Management Solutions reviewed this architecture and provided expert guidance on the appropriateness of the technology choices, the likely issues for the project, and ways to avoid and address these issues.
A technology company is developing a combined hardware/software solution to support an innovative new business model. This solution will need to be able to deliver appropriate ads based on contractual obligations, as well as analytics that predict which ads will appeal to which users. Decision Management Solutions facilitated the identification of the requirements for the ad engine, suggested technology choices, and outlined best practices for selecting, acquiring, implementing, and exploiting the decisioning technology required.
This major European retail bank has a strategy to focus on serving and helping customers, not just selling to them. A major next best action initiative designed to maximize the value of every interaction for both the bank and its customers was being planned. This initiative involved deploying multiple technologies, including predictive analytics and business rules, at scale and making significant organizational and process changes. Decision Management Solutions conducted a rapid review of the initiative, assessing technology, organization, modeling, and other capabilities. Multiple vendors’ analytic and business rule technology was assessed in the context of a complex technical architecture, and specific go-forward recommendations were made about the design and, critically, the boundaries between products. A design for the decisions that involved in the next best action initiative was proposed that described how predictive analytics, business rules, and other insight could be arbitrated to produce the best possible results while managing the trade-offs between batch and interactive deployments. The impacts of the initiative in both business and technical terms, as well as risks and opportunities, were identified and described. The recommendations made were integrated into the plan as part of gaining approval for going forward with the program.
A North American insurance company’s analytics team needed a more effective way to define business requirements for a multi-region analytics project. Decision Management Solutions provided decision-led project design, go-forward project recommendations, and a decision model of the project requirements. The decision model put the predictive analytic solution into a user-centric context, allowing end users to effectively consume the analytic and improve fraud detection in their decision-making. Subsequent analytic projects are using the decision model approach to collaborate with their business partners earlier and more effectively to focus analytic resources where they will generate the most business value and reduce time to value by speeding deployment.