Key Takeaways Machine data created by your IBM Z and IBM i is critical for flagging anomalies that may exist in your business and meeting regulatory compliance requirements Automated discovery and...
Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time...
Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. Successful data integration...
In an era where cloud technology is not just an option but a necessity for competitive business operations, the collaboration between Precisely and Amazon Web Services (AWS) has set a new benchmark...
When it comes to data processing, there are more ways to do it than ever. Your choices include real-time, near real-time, and batch processing. How you do it and the tools you choose depend largely...
Data integration technology and practices have come a long way in recent decades. Organizations have moved away from the rudimentary batch-mode integration that transmits entire data sets back and...
It is a challenge for insurance companies to increase organizational agility in the face of rapidly evolving business conditions and a changing regulatory environment. High inflation and an increase...
Manual data cleanup can be time-consuming and error-prone – and yet clean, ready-to-use data is essential to the success of strategic initiatives across industries and use cases. As more...
The annual Precisely Data Integrity Summit, Trust ’23, was another amazing success that virtually brought together thousands of data professionals worldwide. Over the course of two days, attendees...
