New packages now available in the Time Series Data Service: Choose from 3000 or 5000 metrics
Discover our new Metric Packages in the Time Series Data Service now. Choose between 3000 or 5000 metrics and benefit from more flexibility and improved analyses. Ideal for data-intensive applications. Read more and expand your possibilities!
In today’s digitalized industry, data has become a critical success factor. Especially in complex production processes or machinery optimization, access to extensive and precise measurement data is indispensable. That’s where our Time Series Data Service comes into play, and we’re excited to announce new packages tailored to meet your data needs: you can now choose packages with 3000 or 5000 metrics, ideal for data-intensive applications.
Why choose larger metric packages?
These new packages allow you to capture and analyze an even larger number of data points. This is perfect for companies already invested in IoT solutions or planning to integrate numerous devices and sensors into their digital ecosystem. Higher metric allocations offer greater flexibility and eliminate the need to compromise on data precision by filtering or downsampling data points.
Benefits of the 3000 and 5000 metric packages
Scalability: For companies in a growth phase or planning to expand their digital infrastructure, the 3000 and 5000 metric packages provide the necessary flexibility to scale without limitations.
Better Data Coverage: With more metrics, you can record more detailed data, giving you a comprehensive view of your production processes and machinery performance.
Enhanced Analytics and Forecasting: More metrics mean more data, leading to more accurate analytics. This enables better predictions and optimizes resource and time utilization.
Industrial use cases for the new metric packages
As companies tackle increasingly complex industrial applications, they require precise, continuous measurements. Here are a few examples of how the new packages add value:
- Predictive Maintenance in the Machinery Industry: Machinery manufacturers working to optimize their maintenance cycles often deploy hundreds or thousands of sensors to monitor various operational parameters. A larger metric package allows for a more granular level of monitoring, providing a richer data foundation for maintenance planning.
- Energy Optimization in Production Processes: In energy-intensive industries, the continuous analysis of energy consumption data is key. A higher metric count makes it easier to monitor and adjust energy use and operating costs efficiently.
- Quality Management in Chemical and Pharmaceutical Industries: Industries with stringent quality standards must track data with precision. Additional metrics facilitate enhanced quality assurance processes and enable seamless production tracking.
Conclusion
The new 3000 and 5000 metric packages in the Time Series Data Service are ideal for companies looking to expand their data strategies. Embrace the benefits of a data-driven approach and set new industry standards. Discover the full potential of the Time Series Data Service and secure one of the new packages today!