In my experience, SAS Insights for IoT has been beneficial. With the aid of the software, I was able to gain insightful understanding of my IoT data and use real-time data analysis to make better choices. The robust analytics capabilities and scalability make it a worthy investment for companies seeking to mine their IoT data, despite the fact that it may be pricey and necessitate a sizeable investment in training.

1.Robust analytics capabilities: SAS Analytics for IoT offers a wide range of advanced analytics techniques for processing and analyzing IoT data, including machine learning and predictive modeling.2.Scalable platform: The software is designed to handle large volumes of IoT data and can scale to meet the needs of growing businesses.3.Real-time processing: SAS Analytics for IoT offers real-time processing capabilities, which allows for quick analysis and decision-making based on streaming data.4.User-friendly interface: The software has an intuitive and user-friendly interface, which makes it easy to set up and run analytics workflows.

1.Steep learning curve: The software has a lot of advanced capabilities, which can make it difficult to learn and fully utilize without significant training and experience.2.Expensive: SAS Analytics for IoT is a high-end software solution and can be costly for smaller businesses or those with limited budgets.

Use of use and data drag and drop when creating dashboards