Optimizing Reporting in Nuclear Energy with Alteryx: A Case Study

A leading nuclear energy solutions provider in the United States was facing significant challenges in managing and analyzing their data. The data in the nuclear energy industry is highly fragmented, making it difficult to match solutions with the specific needs of customers. The company was using large, disparate datasets in Excel that included information on specific machinery parts, instrumentation and guidance controls, and reverse engineering products. However, the datasets were too large and limiting, and there was no traceability to find answers to their own questions within Excel. The company was under pressure to improve their data management and analysis processes, but they lacked a dedicated analytics solution to help them achieve this goal. The ideal solution would be a technology that could combine spreadsheets and database information quickly and efficiently, and allow the company to learn from their actions within the solution and understand the impact on final results.

The customer is a leading nuclear energy solutions provider in the United States. They specialize in providing solutions to keep nuclear energy plants running smoothly and efficiently. However, they were struggling with managing and analyzing their data due to the fragmented nature of data in the nuclear energy industry. They were using large, disparate datasets in Excel, but these were too large and limiting, and there was no traceability to find answers to their own questions within Excel. The company was under pressure to improve their data management and analysis processes, but they lacked a dedicated analytics solution to help them achieve this goal.