Predictive Analytics Tools.
The easy way to turn data into actionable insights: our inbuilt Predictive Analytics tool.
Rayven's frontend predictive analytics features enable you to visualise the future, automate decisions + give people the information they need to optimise performance, simply.
Seamlessly add predictive insights to your dashboards + UIs so that you can easily forecast, act + optimise in real-time.
The Rayven Platform's predictive analytics capabilities make it quick and simple to embed future-focused insights into your dashboards and apps.
With no additional tools or complex setup required beyond configuring your models (all natively done within the platform: see Machine Learning), you can deploy predictive visualisations, alerts + direct actions intuitively.
Combine our predictive analytics capabilities with virtual controls and/or workflow automation features, and you can act on predictions instantly via human or AI. Optimise faster, reduce risks + improve outcomes without effort.
Embedded Predictive Visualisations.
Add forecasts directly into dashboards + UIs. Easily view future trends and outcomes without the need for external tools or extra steps.
Trigger Alerts + Notifications.
Automatically detect anomalies and trigger alerts when action is needed. Stay ahead of issues or opportunities with real-time notifications.
Workflow + Action Automation.
Use predictions to automate workflows, adjust processes + optimise processes instantly. Reduce manual tasks and improve performance.
Real-Time Forecast Updates.
Rayven can utilise real-time (and any other) data to update your predictive analytics in real-time, ensuring insights are always up-to-date.
Rayven has free + low-cost options, making it affordable for every business.
Turn data into action with Rayven's predictive analytics tool: seamless integration, real-time updates + actionable automations.
Rayven’s predictive analytics are powered by its robust, inbuilt backend Machine Learning engine.
It enables you to create models using drag-and-drop or upload any Python-based algorithm, train different models on your unique data and compare their performance + then easily deploy them into workflows to create visualizations, alerts + automations; ensuring predictions are tailored to your specific use case.
Rayven can handle complex data sets, update models dynamically and in real-time to produce highly accurate forecasts.
Explore Rayven's Machine Learning software capabilities further.
Rayven’s predictive analytics capabilities are natively built into the platform, allowing you to integrate future-focused insights into your dashboards and workflows instantly.
There’s no need for third-party tools or extensive development - visualisations of forecasts, risks + trends can be added with just a few clicks. This seamless integration saves time, reduces complexity, and ensures every user has access to the predictive insights they need.
Whether for operations, management, or customer-facing teams; Rayven enables fast, informed decision-making right from the interface.
Explore Rayven's UI Customisation capabilities.
With Rayven, you can set up real-time alerts and notifications based on predictive analytics to identify risks or opportunities before they arise.
Whether it’s detecting anomalies, forecasting maintenance needs, or predicting demand spikes, alerts keep you one step ahead. Fully-customisable, these notifications can be tied to workflows, ensuring immediate action is taken.
By automating responses to predictions, Rayven reduces downtime, avoids errors, and maximises efficiency.
Explore Rayven's Custom Notification + Alerts capabilities.
Rayven takes predictive analytics further by embedding outputs into automated workflows.
Forecasts aren’t just for display - they trigger actions. Whether it’s adjusting machinery, reallocating resources, or launching processes; predictions can be tied directly to actions that happen in real time.
This capability eliminates manual intervention, speeds up operations + ensures that your business adapts dynamically to future needs.
Explore Rayven's Workflow Automation capabilities.
Rayven’s 50+ ready-to-deploy data visualizations are designed to deliver predictive insights in the clearest and most actionable way.
With a library of interactive visualizations, you can visualise future trends, outcomes + risks in formats tailored to your needs. Whether it’s time-series projections, resource demand forecasts, or operational risks, dashboards bring predictions to life.
Combined with the ability to filter and customise views for different user groups, Rayven ensures every decision is backed by clear, actionable data.
Explore Rayven's Data Visualization capabilities.
Rayven’s predictive analytics doesn’t stop at insights - it connects directly to your systems and machinery for real-time execution.
Using bidirectional integrations, you can send commands to equipment, update systems, or modify processes automatically based on predictions. This ensures that your operations adapt dynamically and efficiently, turning forecasts into immediate results.
With Rayven’s full control and automation capabilities, predictive analytics becomes a key driver of operational optimisation.
Explore Rayven's Control + Automation capabilities.
Rayven’s predictive analytics tools are built to simplify implementation.
Choose between using no- or low-code tools; you can add forecasts, alerts + automations to dashboards or workflows in minutes. This ease of use reduces development time and costs, allowing you to iterate quickly and keep up with changing requirements.
For businesses looking to integrate predictive capabilities without heavy technical lift, Rayven offers a fast and cost-effective solution.
Built for developers, loved by teams: the benefits of Rayven's approach vs. others.
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Rayven | Competitors |
Native to Platform
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Rayven has predictive analytics capabilities built natively into the platform. | Usually requires separate platforms or additional modules. Require stitching together. |
Low-Code Deployment
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User-friendly interface enabling rapid setup without extensive coding (unless you want to!) | Generally requires significant coding expertise, leading to longer deployment times. |
Infinite Models per Application
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Supports multiple predictive models running simultaneously in one app. | Limited to fewer models per app, restricting scalability and functionality. |
Automation + Control
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Direct machinery and systems for immediate adjustments. | Often limited to unidirectional data flow, restricting real-time operational responsiveness.. |
Alerts
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Customisable, instant notifications based on predictive insights via workflows. | May lack real-time capabilities or offer limited customisation, delaying response times. |
Forecast Visualization
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Over 50+ widgets + visualisations out-of-the-box, making it easy to display predictions tailored to user needs. | Limited options for custom visualisations, often requiring additional development or tools. |
Real-Time Data Analysis
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Fully supported with dynamic, real-time updates delivering more accurate forecasts. | Partial support; may rely on static or delayed data updates. |
White-Label Capabilities
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Fully customisable branding for a seamless user experience. | Limited branding options, resulting in inconsistent user interfaces. |
Comprehensive Support
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Extensive documentation and 24/7 support to assist users at any stage. | Support may be limited or less responsive, impacting user experience. |
Cost-Effectiveness
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Offers flexible, pay-for-what-you-use pricing, making it cost-effective. | Competitors often have rigid pricing models with higher costs for added features. |
Rayven Predictive Analytics FAQs:
Predictive analytics uses historical and real-time data to forecast future outcomes and trends.
It combines data analysis, machine learning, and statistical techniques to identify patterns and make predictions about potential risks, opportunities, or performance outcomes.
In the context of Rayven, predictive analytics enables businesses to visualise these insights in dashboards, trigger real-time alerts, and automate workflows. This helps organisations make proactive decisions, optimise operations, and reduce downtime by anticipating issues before they occur.
Rayven’s predictive analytics leverages Machine Learning models trained on your specific data.
These models analyse historical and real-time data streams to forecast outcomes or identify anomalies. The predictions are seamlessly integrated into dashboards, visualisations, and workflows using Rayven’s frontend tools.
This enables users to view forecasts, receive notifications, and take immediate action through automated processes or bidirectional integrations with machinery and systems - all without needing additional software or manual intervention.
Yes, Rayven is built to work seamlessly with real-time (or any other) data streams, enabling it to update forecasts dynamically as new information becomes available.
This capability is almost unique and ensures that your predictive insights remain accurate and actionable, even in rapidly changing environments. For example, if a machine's operational metrics shift or external factors like demand fluctuate, Rayven’s predictive models will instantly incorporate this data to provide updated forecasts. These real-time updates are reflected immediately in dashboards, alerts + workflows, allowing you to respond proactively.
By leveraging real-time data, Rayven ensures your business decisions are always based on the most current and relevant information, minimising risks and maximising opportunities.
Yes, Rayven offers over 50+ widgets and visualisation options to customise how predictive insights are displayed.
You can choose from dynamic charts, trend graphs, and interactive dashboards to present forecasts in a way that’s intuitive for your teams.
Custom filters, role-based views, and flexible layouts allow you to tailor visualisations for specific users or groups. This ensures everyone gets the insights they need in a format that’s easy to understand and act on.
Rayven’s real-time alerts monitor data streams and predictive outputs for anomalies, thresholds, or critical events.
When a potential issue or opportunity is detected, users are immediately notified via UIs, emails, SMS or other connect tools.
Alerts can be configured to match your unique operational needs, ensuring timely and relevant notifications. For example, an alert can notify a manager of a potential machine failure, trigger an automated workflow for maintenance, or adjust system settings in real-time via integrations.
Absolutely. Rayven’s predictive analytics is designed to turn forecasts into actionable results.
Predictions can trigger workflows, such as reallocating resources, adjusting machinery settings, or initiating corrective actions. By embedding predictions into workflows, businesses can eliminate delays, reduce manual intervention, and ensure operations are always optimised based on future insights.
This capability transforms predictions from static data points into dynamic drivers of efficiency and performance.
Yes, Rayven’s predictive analytics is built to handle businesses of any size and complexity.
The platform supports multiple predictive models running simultaneously within a single app, allowing you to scale insights across departments, locations, or use cases. Its low-code tools make deployment and scaling straightforward, while its real-time capabilities ensure consistent performance as data volumes grow.
Whether you’re managing a single site or a global operation, Rayven can scale with your needs.
Rayven’s predictive analytics integrates seamlessly with your existing systems and machinery through its bidirectional integration + workflow capabilities.
This allows predictions to directly trigger system adjustments, such as updating ERP data, recalibrating IoT devices, or adjusting system parameters. The platform’s universal interoperability ensures compatibility with any technology stack, streamlining operations and making predictions actionable in real-time.
Rayven stands out by delivering a seamless, all-in-one platform for predictive analytics.
Its predictive capabilities are fully integrated, allowing businesses to add future-focused insights to dashboards and workflows with minimal effort.
Rayven supports multiple models running simultaneously, ensuring scalability for complex operations. With over 50+ widgets and custom visualisation tools, predictive outputs are displayed in ways that are clear and actionable.
The platform also connects directly to systems and machinery with bidirectional integrations, enabling predictions to trigger real-time actions. Combined with real-time alerts and workflow automation, Rayven eliminates delays and manual intervention, transforming predictions into measurable outcomes.
Its no- and/or low-code tools, cost-effectiveness + white-label capabilities make it uniquely positioned to empower businesses to harness predictive analytics at scale, without complexity.