In this blog post, we describe SMARTS™ key capabilities: decision management, low-code/no-code, ModelOps, and real-time decision analytics.
Decision Management
SMARTS™ is a decision management platform that spans the entire business decision lifecycle, from modeling to deployment. As a decision management platform, SMARTS™ provides tools for authoring, testing, simulating, and deploying decisions. In addition, SMARTS™ provides tools for the management and governance of those decisions. Key authoring capabilities include the following:
- RedPen™ allows business analysts to write rules via point-and-click without learning a special syntax.
- Fluid Metaphors allow business analysts to choose the most appropriate decision representation based on the task at hand. Representations include decision rules, tables, trees, or graphs.
- Lookup Models allow business analysts to convert spreadsheets into executable decision tables.
SMARTS™ is a data-centric product where business analysts can import data and immediately start writing and testing rules against that data. As a result, users can easily build rating, pricing, and any calculation engine.
SMARTS™ lifecycle management capabilities include release management (read-only snapshots of projects) to track promotions and deployments. Business analysts can view the history of their decision logic and revert to earlier versions or releases ant anytime. Based on their permissions, they can publish their changes into a test environment or into production.
Once a decision project has been finalized, they can be deployed as decision services either on the cloud on on-premise. SMARTS™ decision services provide support for secure service invocations in an authenticated context, support for high-availability and scalability.
Low-Code/No-Code
In addition to the low-code development tools mentioned above, SMARTS™ enable users to develop no-code business apps. These custom, intuitive web pages allow untrained business users to modify, test and deploy changes without ever needing to interact with the SMARTS™ UI. Business apps can be designed for specific tasks, minimizing unauthorized access and changes to the overall decision flow.
ModelOps
Many decisions deal with uncertainty- such as credit card approvals and loan and mortgage approvals. These decision benefit from predictive models that help organizations make the best possible decision in the face of uncertainties. SMARTS™ operationalizes predictive models in three ways:
- Business analysts can import machine learning models developed by a data science team using PMML (the standard model interchange format). Once imported, these models can be integrated into any decision and deployed. The models can be tested in the context of the decision to ensure they produce expected results and then can be deployed.
- Sparkling Logic’s patented BluePen machine learning technology can be used by business analysts to generate rules from data. Models created by BluePen™ are explicit and easy to understand. Learn more about BluePen in our Geneva release.
- In cases where models exist but are not available as PMML, but are available as spreadsheets, users can upload them into SMARTS™ as a dashboard, regression, or tree model.
Real-Time Decision Analytics
SMARTS™ Real-Time Decision Analytics lets business analysts define metrics that measure decision outcomes. Users can ensure that they’re decisions align with business strategy and objectives. The SMARTS™ dashboard displays graphical representations of the metrics when running simulations against large volumes of historical data. Real-time metrics also enables organizations to monitor performance post-deployment. Users can create dashboards and set up alerts to notify stakeholders when certain thresholds have been exceeded.
Through SMARTS™, insurers, banks, and healthcare companies are automating and optimizing operational decisions for fraud detection, credit risk assessment, claims processing, and more.
Learn more about Decision Management and Sparkling Logic’s SMARTS™ Data-Powered Decision Manager