cxomni
cxomni is a customer journey management platform that helps you visualize, analyze, and improve end-to-end customer experiences through real-time data integration and collaborative journey mapping tools.
SAS Viya
SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.
Quick Comparison
| Feature | cxomni | SAS Viya |
|---|---|---|
| Website | cxomni.net | sas.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2015 | 1976 |
| Headquarters | Munich, Germany | Cary, USA |
Overview
cxomni
cxomni is a dedicated customer journey management platform designed to help you bridge the gap between static journey maps and real-time operational data. You can move beyond simple visualization by connecting your actual customer touchpoints to live data streams, allowing you to monitor the health of your customer experience as it happens. It serves as a central hub where your marketing, sales, and service teams can collaborate on experience design.
The platform enables you to identify pain points, track sentiment, and manage CX improvement projects within a single interface. By transforming fragmented data into a cohesive story, you can make more informed decisions about where to invest your resources for the highest impact. It is particularly effective for mid-to-large organizations looking to mature their customer experience programs from occasional research to continuous management.
SAS Viya
SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.
The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.
Overview
cxomni Features
- Live Journey Mapping Create interactive journey maps that connect directly to your data sources for a real-time view of customer movements.
- Touchpoint Repository Maintain a centralized library of every customer interaction point to ensure consistency across all digital and physical channels.
- Sentiment Analysis Monitor customer emotions and feedback at specific stages of the journey to pinpoint exactly where frustration occurs.
- Persona Management Build and manage detailed customer personas to tailor your journey maps to specific audience segments and behaviors.
- CX Action Tracking Assign tasks and track the progress of experience improvement projects directly within your journey management dashboard.
- Data Integration Hub Connect your CRM, ERP, and survey tools to feed live operational metrics into your visual journey maps.
SAS Viya Features
- Visual Data Preparation. Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
- Automated Machine Learning. Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
- Model Management. Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
- Open Language Support. Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
- Real-Time Decisioning. Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
- Natural Language Generation. Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.
Pricing Comparison
cxomni Pricing
SAS Viya Pricing
Pros & Cons
cxomni
Pros
- Excellent transition from static mapping to data-driven journey management
- Strong focus on collaborative features for cross-functional teams
- Highly customizable visualization options for complex customer journeys
- Centralized repository helps eliminate departmental data silos
Cons
- Initial setup requires significant time for data integration
- Steeper learning curve compared to basic whiteboarding tools
- Pricing is not transparent for small businesses or freelancers
SAS Viya
Pros
- Handles extremely large datasets with high performance
- Unified environment for both coding and visual users
- Strong governance features for regulated industries
- Excellent technical support and extensive documentation
- Seamless integration with major cloud providers
Cons
- Higher price point compared to open-source alternatives
- Significant learning curve for the full feature set
- Initial setup and configuration can be complex