As the Internet of Things (IoT) generates incessant data, organizations need smarter and more efficient ways to manage and process fast-growing data volumes.
With streaming analytics, enterprises can:
- Process high-throughput, geographically distributed events in real-time
- Deliver critical insights across business units
But are the organizations well equipped for data visualization of batch and streaming data?
Read this paper to learn about rapidly developing and operationalizing real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback.
You may also be interested in…
An Ovum white paper for Impetus StreamAnalytix The Internet of Things (IoT) is becoming ubiquitous. More than just a…
Massive volumes of customer data are being generated every second. To derive valuable insights from these real-time data streams, businesses…
Today, airlines have access to a wealth of customer data. The ability to utilize this data in real-time can lead…
A leading cloud-based communications technology company that offers hosted contact center services needed a way to improve performance metrics, eliminate…
Private: Accelerate your journey from data to decisions – A unified analytics platform for ETL, ML, and BI
Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and preparing data for analysis,
Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in…