Optimizing Reporting in Nuclear Energy with Alteryx: A Case Study
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
- Sensors - Level Sensors
Applicable Industries
- Electrical Grids
- Equipment & Machinery
Applicable Functions
- Sales & Marketing
Use Cases
- Supply Chain Visibility
About The Customer
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.
The Challenge
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 Solution
The company implemented Alteryx, a robust solution for automation and power, to address their data management and analysis challenges. The analyst discovered Alteryx through a Google search for medium-sized data-crunching software and was impressed with the level of support from customer service and the helpful tutorial videos. The main goal was to automate disparate sources of customer and solutions data to make day-to-day tasks easier. With Alteryx, the company was able to automate customer reports that matched up their solutions and data with specific customer needs in just a few clicks. The solution provided the speed, agility, and ability to combine spreadsheets and databases that the company needed. It also offered access to shareable insights, which was a key requirement for the company. The implementation of Alteryx transformed the company's approach to data, enabling them to solve customer needs with data and gain confidence in their ability to do so.
Operational Impact
Quantitative Benefit
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