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| Product | Mindshare (%) |
|---|---|
| Software AG ARIS Process Mining | 3.7% |
| QAD Process Intelligence | 0.6% |
| Other | 95.7% |

| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 4 |
QAD Process Intelligence provides advanced insights for manufacturing and supply chain processes, empowering organizations to optimize efficiency and performance. It offers robust data analysis to support decision-making and process adjustments.
QAD Process Intelligence delivers critical insights by analyzing operational data, enabling companies to enhance business performance. Its advanced analytics tools help identify inefficiencies, streamline operations, and ensure timely delivery of products and services. The platform is designed to support decision-makers in identifying trends and making informed adjustments to improve productivity and effectiveness.
What are the key features of QAD Process Intelligence?QAD Process Intelligence is adept at being applied in sectors such as automotive, consumer products, and industrial manufacturing. It empowers these industries by enhancing processes and ensuring alignment with market demands, which results in improved profitability.
Increasing digital products and services, new business models, challenger brands and competitors emerging virtually overnight—all are forever changing your market. To survive, your company—no matter its size or industry—must rethink your business models and processes. Problem is, with so many players and parts to your enterprise, where should you begin? How can you see where to optimize processes to improve the customer experience or operational efficiency? Should you rethink distribution of resources, or start first with improving processes for a specific region or product?
Find your answers with ARIS Process Mining at Software AG. With a 360-degree view of your processes, you’ll gain intelligent insights into your processes and their dependencies to find patterns, anomalies and opportunities for improvement. Compare processes in theory to processes as they are in the real world. See if processes execute as designed. This gives you a solid basis for making process improvement decisions. You can evaluate changes before making them to avoid added costs later on—and you can simulate and analyze process scenarios so you know the best way to improve them.
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