In this blog, we want to highlight the breadth of PropelZ’s reach and explain how you can use PropelZ to share mainframe data with a variety of mission-critical applications, including:
- Data Stores (Data Warehouses and Data Lakes)
- Artificial Intelligence and Machine Learning
- Analytics and Reporting
PropelZ lets you schedule near real-time updates of your mainframe data across your hybrid cloud — allowing you to move quickly, improve agility, and deliver results at a fraction of the cost of ETL and other approaches.
Share Mainframe Data with Ease
PropelZ seamlessly connects mainframe data to more than 100 databases, facilitating its integration with a wide range of mission-critical applications.
Our patented, no-code approach simplifies this process, allowing organizations to share mainframe data without the need for extensive coding or complex transformations.
Here’s how PropelZ can transform data integration in various domains:
1. Data Stores
Data stores, like data warehouses and data lakes, are essential for storing vast amounts of structured and unstructured data from diverse sources. PropelZ enables organizations to:
- Effortlessly Transfer Data: Quickly send mainframe data to data stores, ensuring that valuable information is readily available for analysis and reporting.
- Enhance Data Quality: Maintain the integrity and quality of mainframe data as it is integrated into centralized repositories.
- Optimize Storage Solutions: Utilize modern storage solutions that support scalable and flexible data management, improving overall efficiency.
2. AI and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) require large datasets to train models and derive insights. PropelZ facilitates:
- Seamless Data Flow: Easily transfer mainframe data to AI and ML platforms, providing the rich, historical data necessary for accurate model training and predictions.
- Accelerated Insights: Reduce the time and effort needed to access mainframe data, allowing data scientists to focus on developing and refining AI/ML models.
- Enhanced Predictive Capabilities: Leverage the depth of mainframe data to improve the predictive power and accuracy of AI and ML models.
3. Analytics and Reporting
Today’s BI, analytics, and reporting tools are essential for analyzing data and making informed business decisions. PropelZ empowers organizations to:
- Integrate Data Swiftly: Quickly send mainframe data to BI tools, enabling real-time analytics and reporting.
- Improve Decision-Making: Provide comprehensive insights by combining mainframe data with other data sources, enhancing the overall decision-making process.
- Streamline Reporting: Simplify the generation of detailed reports and dashboards by ensuring that mainframe data is readily accessible and integrated within BI tools.
The PropelZ Advantage: No-Code Integration
One of the standout features of PropelZ is its patented, no-code approach, which brings several advantages:
- Ease of Use: PropelZ eliminates the need for complex coding, making it accessible to users without deep technical expertise.
- Speed and Efficiency: Accelerate the integration process, allowing businesses to quickly adapt and respond to changing data needs.
- Reduced Complexity: Simplify the integration landscape, reducing the risk of errors and ensuring smoother data transfers.
Conclusion
PropelZ by VirtualZ Computing is a game-changer for organizations looking to leverage their mainframe data for modern applications. By providing seamless, no-code integration with over 100 databases, PropelZ makes it easier than ever to connect mainframe data with data stores, AI and Machine Learning platforms, and Analytics and Reporting tools. This powerful solution not only enhances data accessibility but also drives better decision-making and innovation across the enterprise.
PropelZ is available for a fixed annual subscription license of $50K for unlimited use.
Contact us today to get your copy of PropelZ.
Learn More
- Watch a demo of PropelZ.
- Read about other PropelZ use cases.
- Learn about VirtualZ’s solution portfolio for data stores.
- Explore our YouTube channel, podcasts, and blog.
- Still have questions? Contact us.
