Articles

6 reasons to use a rule engine instead of Python code

Difference Between Batch Processing Decision Engine and Real-Time Decision Engine

Batch processing and real-time decision engines solve different problems. This article explains how each works, where each fits, and how to choose based on data volume, latency, and how often your decision logic changes.

Decision-table overlap checks for policy changes

A threshold change or exception can leave the same applicant approved or referred when overlapping table rows are handled differently. A decision table can name those overlaps before release; a nested rule set offers no authoring-time comparison of its branches.

The benefits of using a SaaS decision engine over a spreadsheet

A spreadsheet has no place to attach the full record of a credit decision: the rule revision, resolved inputs and person linked to the change. A decision engine stores that record with the result, preserves releases, and checks whether decision-table rows overlap or leave inputs uncaught.

Your decision table leaves outcomes unresolved despite complete-looking rows

A complete-looking decision table can still leave applications with no outcome. Before release, check which matching row wins, where the catch-all row sits and what a missing value becomes.

How to test a decision table properly

Start by defining the table’s purpose. Then iterate. Draft test cases from each condition and action, run them, verify the outcomes, and refine the decision logic until it behaves predictably. Use synthetic datasets and valid value ranges when missing results are acceptable, or use exhaustive, edge-case testing, manually or with a tool, when the table must always return a result.

The process of implementing a decision engine

Implementing a decision engine lets companies automate and scale decision-making to reduce costs, accelerate processes, and improve efficiency. This article walks through the practical steps, from identifying candidate business processes and mapping existing decision logic and data, to formalizing a decision model, selecting the right engine, and deciding whether to use internal expertise or external consultants.

Creating, Modifying, and Testing Business Rules in Decisimo

Simplify ML deployment with Decisimo: A clear platform for decision making - Decisimo

This article shows how Decisimo fits into ML deployment when you need more than a model endpoint. It explains how to build decision flows, connect models with rulesets and decision tables, and use Python or R outputs inside real decision logic for use cases such as credit scoring and risk-based pricing.

What is a decision engine?

See how an income threshold and referral band move from policy into a decision flow, and how to test what happens when data is missing or a score falls between bands.