Rayven
Rayven is a user-friendly SaaS platform that solves businesses' challenges with interoperability, real-time data, and app development - without the need to replace legacy systems, increase risk, or endure lengthy development times.
Combining iPaaS, Data, IoT, Workflow Automation, Analytics, BI, AI, App Development, and PaaS into one solution, Rayven makes system integration, real-time data processing, and custom app creation simple. It's designed to help you overcome complex business issues effortlessly.
With Rayven, you can:
- Connect any system, device, or data source
- Quickly create workflows and applications
- Add AI and automation, tailored to your needs, anywhere
Rayven is intuitive, fully compatible with any technology, and infinitely scalable. It optimises your existing tools, making real-time, AI-driven decision-making accessible to businesses of all sizes at an affordable price.
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Orquestra IIoT Data Manager
Orquestra IIoT Data Manager, the data collection platform, manages field data and provides information on all company applications. Orquestra allows you to communicate with devices and machines in the field using different technologies. It also standardizes the information generated to provide a standard interface that collects data as well as information about the machine's operation and the production process. You can customize the process reading, which makes it easier to manage production lines and make use of information more quickly. Real-time production OEE, measurement and accuracy of data collected from production plants. Automated data collection, processes and production progress. Real-time reporting of critical situations and events to determine the best course of action.
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Culture Amp
The world's best employee feedback and analytics platform. It's easy to understand what motivates employees, their pride, recommendation, motivation, and how to make your people's transition from onboarding to retirement easier. You can quickly get started by adapting our ready-to-use templates or benchmarks to meet your needs. Based on research, backed up by data, and powered with people geeks from the most innovative companies in the world.
Our end-to-end solution is designed to help you understand the current state of DEI at your organization, pinpoint focus areas, and run intersectional analyses to guide meaningful action. Benchmark your company against industry peers, unlock DEI-specific inspirations and recommendations and tap into our global community to learn from real examples of success.
We’ve helped thousands of companies understand and improve their diversity, equity, and inclusion efforts. Our in-house people scientists and support teams are here to provide research-backed guidance.
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AWS IoT Analytics
IoT data is not structured and therefore difficult to analyze using traditional analytics and business intelligence tools designed to process structured data. IoT data is often gathered from devices that record very noisy processes (such temperature, motion, and sound). These devices often have large gaps and corrupted messages. This makes it difficult to analyze the data. IoT data can often only be meaningful when viewed in conjunction with third-party data inputs. Vineyard irrigation systems often combine moisture sensor data from the vineyard with rainfall data from the vineyard to aid farmers in determining when to water their crops. This allows for better water usage and maximizes harvest yield. AWS IoT Analytics automates all the tedious steps required to analyze data from IoT devices.
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