Customer Company Size
Large Corporate
Country
- France
Product
- Alteryx Analytics
Tech Stack
- SQL
- Excel
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Data-as-a-Service
Applicable Industries
- Electronics
- Utilities
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Schneider Electric is a global specialist in energy management with operations in more than 100 countries and 150,000 employees. The company offers integrated solutions across multiple market segments, including utilities and infrastructures, industries and machine manufacturers, non-residential buildings, and data centers and networks. With sales of nearly 24 billion Euros in 2013, the company is focused on making energy safe, reliable, efficient, productive, and green. The analysis team at Schneider Electric oversees data quality, data accuracy, polling data, and enhancing data.
The Challenge
Schneider Electric, a global specialist in energy management, was facing a challenge in identifying its high-potential customers and deploying sales resources efficiently. The company's manual approach to determining how and where to deploy its sales resources was time-consuming and inefficient. Sales operations and more than 20 sales managers would collaborate with the analysis team to collect data and evaluate numerous factors related to each customer account, including account size, vertical market, and growth and purchase history. This process was not only slow but also resulted in the sales team waiting for the information it needed to start the new year, often not receiving it until February.
The Solution
Schneider Electric decided to integrate Alteryx Analytics into their account selection process. Alteryx was used to automatically gather, manage, and blend in-house and third-party data, delivering deep insights to the sales team in less than half the time as previously required. This integration immediately sped up the creation of the company’s high-potential customer list. By delivering deeper insights from an expanded number of data sources sooner than ever before, the analysis team empowered the sales force to start the year strong.
Operational Impact
Quantitative Benefit
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