MODLR has unveiled a groundbreaking Visual Scripting Engine as part of its corporate performance management platform, offering enterprise and partner customers a drag-and-drop interface for creating data integration workflows without the need for coding. This innovative engine complements MODLR’s existing JavaScript and mapping-based ETL and ELT tools, providing a flow-based design surface for building and managing multi-source data pipelines. Users can construct workflows from over 150 reusable nodes that cover connectivity, transformation, file handling, and model updates.
MODLR describes this launch as an enhancement of its data integration capabilities, aimed at empowering teams to develop workflows with improved clarity and control. The new engine is available across the platform for existing enterprise and partner users.
A New Era of Workflow Design
The Visual Scripting Engine offers a diagram-style workspace where users can outline processes step by step. It supports branching logic, loops, and conditional rules and comes with built-in error handling and performance monitoring. The engine connects to various sources, including databases, cloud storage, servers, and APIs like REST APIs and SFTP servers. Workflows can extract data from multiple systems, transform it, and load it into a unified financial or operational model. MODLR asserts that this approach maintains full audit trails for the resulting pipelines.
In-Built Data Utilities
The platform includes native data utilities such as string cleaning, mathematical calculations, date and time formatting, and regex pattern matching for validation. According to MODLR, these utilities can reduce the reliance on external scripts and third-party software in some integration projects.
File Operations and Compliance
File and directory operations are an integral part of the node library. MODLR highlights automated CSV ingestion, scheduled exports, and secure archiving as some of the use cases. These functionalities are linked to compliance processes and the necessity to maintain historical records, which often require controlled handling of source files and data outputs.
Updating Analytical Models
The engine also features controls for cubes and dimensions—common elements in analytical and planning models. MODLR emphasizes that it can update model dimensions as organizational structures change, such as when new products, customers, suppliers, or regions are introduced, or following mergers. These updates help keep dashboards and reports aligned with current structures and master data.
Operational Scope and Versatility
Beyond workflow building, the Visual Scripting Engine includes sub-process orchestration and step-through debugging. MODLR also highlights audit transparency as a core feature, especially for regulated environments and finance teams that require traceable processes.
The engine is designed for both finance and operational teams, with integrated workflows supporting near real-time analytical modeling. It links the Visual Scripting Engine to other parts of the platform, including live dashboards, financial models, AI commentary, and planning cubes.
Industry Applications
MODLR has outlined several scenarios where customers are already leveraging the engine. In manufacturing, it cited the transformation of multi-level bill-of-materials data into profitability views by SKU, plant, or region. In logistics, it pointed to aggregating consignment, scan, and fuel surcharge data into dimensional cubes for cost modeling and rate-card benchmarking.
In financial services, MODLR referenced automated client profitability models, risk scenario analysis, and rate-benchmarking pipelines that reuse logic flows. In construction and retail, it highlighted the integration of job costing, supplier feeds, and inventory data across systems, with dashboards that refresh automatically and downstream variance commentary.
A Shift in Finance Technology
These examples reflect a broader trend in finance technology, as planning and performance tools move closer to data engineering tasks. Organizations often manage core financial models in CPM platforms while maintaining separate integration layers. Increasingly, vendors have added data preparation and orchestration features within analytics and planning products.
MODLR positions itself as a corporate performance management provider focused on financial planning and analysis workflows such as budgeting, forecasting, and planning. With offices in Sydney, London, and Wellington, the company states that its cloud service is used for business intelligence, performance reporting, and planning processes.
The Visual Scripting Engine is now a standard feature of the MODLR platform for enterprise and partner customers, with the node-based workflow builder immediately available for data integration and modeling tasks.
Note: This article is inspired by content from https://itbrief.com.au/story/modlr-launches-visual-scripting-for-no-code-data-flows. It has been rephrased for originality. Images are credited to the original source.