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9 AM PT / 12 PM ET / 4 PM GMT
Automated decisions are at the heart of your business processes. Join us for a one hour tour of Sparkling Logic’s SMARTS end-end, low-code no-code Decision Management Platform.
In this webinar we’ll show you how you can use SMARTS to capture, automate, and evolve your critical business decisions using data, machine learning, and business rules.
Through live demonstrations, you will learn how to manage your interactions with customers, manage risk and fraud, ensure compliance, and dynamically configure and price your products and services, and much more.
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Modern decision management is not only about elicitating knowledge internally, but also activating data. On the other hand, data science projects must be operationalized to go into production. For business analysts and ‘citizen developers’, rather than relying on different tools, SMARTS provides them with an all-in-one decision management platform that leverages data and ModelOps within the same interface and without leaving the platform. SMARTS gives these users the power of operationalizing predictive models without an ongoing need for IT beyond first installation or data scientists beyond delivering their models. Read More »
The DMN standard (Decision Model and Notation) has brought to decision management a notation that comes with a powerful underlying methodology. With DMN, business analysts think about the ultimate decision(s) in a structured way, starting from the the top-level decision into smaller sub-decisions. This iterative process is very friendly, and very easy to share with colleagues.
Since its inception, Sparkling Logic has fully supported the Decision Model and Notation (DMN) Standard. Read More »
Like any software, a decision management application goes through several releases that constitute its life cycle. Due to ever changing regulations and competition, companies must adapt their decisions. New data must be ingested, more powerful models must be imported, and new rules need to be added.
Whether you are a business analyst or a business user in the sectors of credit, insurance, and risk management, this webinar may interest you. Read More »
As part of the decision lifecycle, business analysts obviously start by authoring their decision logic. As they progress, testing rapidly comes to the forefront. How do you ensure that your decision logic is correct?
Decision logic is not software code. As a result, you can’t be satisfied with testing tools and techniques that software developers use. Testing decision requires a different approach, different techniques, and different tools. Granted, ensuring that your decision service can compile is useful. But, the end goal is really to ensure that your decision logic complies with your business objectives. Read More »
Rating engines, just like scoring engines, pricing engines, compensation calculations, claims payment calculations, and many other types of calculation engines, aim to calculate fees or costs. Besides this commonality, they also share some complexity on the fine prints.
For example, insurance underwriters and lenders alike manage pricing sheets, often in the form of a spreadsheet. More often than not, these spreadsheets can contain thousands or tens of thousands of rows. While runtime performance may be a concern, maintainability is certainly a priority. Furthermore, the pace of change requires additional tracking and management to roll these rates over disparate geographies.
Over the years, the implementation of a rating engine has relied on different technologies. As of today, the debate still continues: can you use business rules for a rating engine? The definitive answer is yes. Read More »
You think that authoring business rules is difficult? If you attend a decision management show, you will likely hear many business analysts share their frustration while struggling with their first rules project. For instance, I remember vividly ever-lasting conversations aimed at defining what a rule is. As a consequence, I made it my personal mission to address this challenge. Business analysts should be able to log into their decision management tool and feel confident.
Clearly, authoring decision logic is not rocket science, but the tooling you use plays an important role. In other words, if that tool looks like a software development environment, it will only feel intuitive to software developers, which, as a business person, you might consider rocket science! Overall, look for advanced capabilities that support what you need, as a business analyst:
- Get started writing Business Rules intuitively in the context of data
- Adapt your view depending on the task at hand, switching from text to a decision table, tree or graph
- Combine business rules with very large MS Excel spreadsheets for efficient lookups
- Design a business app, for those that need to access the decision logic in their own terms
The Federal Reserve defines credit risk as the potential that a borrower or counterparty will fail to perform on an obligation. Under the umbrella of credit risk management comes the critical and sensitive origination decision.
In this webinar, we will illustrate specific use cases we encountered in credit origination. Read More »