Alteryx > Case Studies > Siemens Energy's Digital Transformation with Alteryx

Siemens Energy's Digital Transformation with Alteryx

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Technology Category
  • Analytics & Modeling - Data-as-a-Service
  • Analytics & Modeling - Machine Learning
Applicable Industries
  • Electrical Grids
  • Utilities
Applicable Functions
  • Procurement
  • Quality Assurance
Use Cases
  • Leasing Finance Automation
  • Retail Store Automation
  • Data Science Services
  • Testing & Certification
About The Customer
Siemens Energy is a global leader in power generation and transmission, renewable energy, and more. The company's Power Transmission business unit manufactures and supplies thousands of energy network components to a customer base that spans the world. The Transmission unit has 36 geographically distributed factories producing everything a power network needs to function effectively. This includes earthing switches, coils, circuit breakers, and more. The company also pulls information from various sources such as SAP, Salesforce, and Amazon Web Services. The company was facing a significant data management challenge due to the vast amount of data it generated and the complexity of its data sources.
The Challenge
Siemens Energy, a global force in power generation and transmission, faced a significant data management challenge. The company's Transmission unit, with 36 geographically distributed factories, generated a vast amount of production, logistics management, and financial data. Each factory had its own database, adding to the complexity of data management. The company also had to pull information from various sources such as SAP, Salesforce, and Amazon Web Services. The organization was spending a significant amount of time consolidating data, checking its validity, and ensuring the proper functioning of formulas. The lack of data analytics and the complexity of data management prevented the organization from drawing full value from its data. The company needed a solution that would provide access and consolidation to gain full visibility into the company's data estate and automate the process to simplify it.
The Solution
Siemens Energy turned to Alteryx, a data analytics platform, to address its data management challenges. The company started with a simple workflow to automate weekly tasks, such as creating and sending a cash-in report to internal stakeholders. The company then moved on to more complex processes, such as automating forecasting reports for up to 30 projects at a time. The workflows were fully customizable through Alteryx analytic app interfaces, allowing the whole team to easily adjust and consume the output for their own forecasts. Alteryx Designer enabled business users to build their own workflows and solutions at high speed based on their needs. In less than six months, the company was able to build over 350 workflows in Alteryx Designer, with at least another 200 use case ideas in the pipeline. The company also used Alteryx to automate processes that were previously dependent on individual attendance times or office hours.
Operational Impact
  • The use of Alteryx has led to significant operational improvements at Siemens Energy. The company has gained end-to-end control over data and process quality. One workflow, for example, sends order confirmation reminders to suppliers, encouraging the procurement team to update order information on time. This has led to more accuracy and process discipline on both ends, leading to better process quality. The impact of automation became even clearer during COVID-19 lockdowns in 2020, when many employees were forced to work remotely. By building a workflow in Alteryx Designer, the team could not only launch this process remotely, but dramatically reduce the time it took to run. The use of Alteryx has also fostered a strong community within Siemens Energy, creating a powerful network of data workers, future skills, mindset, and use case ideas.
Quantitative Benefit
  • 100 active Alteryx users in less than 12 months
  • 200+ use case ideas generated
  • Thousands of hours saved through data and process automation

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