Business Rules Manager lets you efficiently build automated decisioning strategies and execute them consistently across operational systems, channels and customer touchpoints. e1Tech solution enables companies to add predictive models and data-driven decision strategies directly into rules-driven applications.

Now all the benefits of predictive models deep data-driven insights, rigorous analytic precision, and ability to instantly deliver answers to massively complex questions can be brought into automated decisioning without time-consuming, expensive coding. Which means you can bring new products and services, marketing campaigns and competitive strategies to market sooner.

Business Rules Manager integrates software technologies found in established e1Tech products such as e1Tech Rules Editor and e1Tech Rules Engine to bring together data-driven insights from predictive analytics and policy-driven rules for how business should be done. Business users can create the rules that determine when predictive models should be used in a decision process and what actions should be taken based on the results. And they can change rules at any time without IT assistance.

Rules development and modeling components of Business Rules Manager work together to eliminate information silos. Instead of passing requirements to programmers for implementation in code, modelers and business owners work together to create effective business strategies and generate the production system that executes their decision processes. Rules execute the models as a part of Business Rules Manager execution, without expensive additional programming.

This ability to bring models and strategies easily into rule-based applications is the beginning of a stream of innovations on the way for Business Rules Management customers. Enhancements will include, for example, tools for comparing alternate strategies and managing test cases and data so you can be sure your strategies will meet your highest expectations.

e1Tech Business Rules Manager enables organizations to start from wherever they are in decision-making sophistication and create substantial new value. If your decisions are currently being made manually, you’ll improve performance and reduce cycle time and expenses by adding rule-driven automation. If you already have automated decisioning processes, you can improve their precision and ability to handle complexity by adding predictive and decision analytics. If you are advanced in both automation and analytics, you can reach even higher performance by optimizing your decisioning strategies.