CloudMoyo - Rail Crew/Workforce Analytics

As a leading Cloud & Analytics partner for Microsoft, CloudMoyo brings together powerful business intelligence (BI) capabilities using the Azure Data Platform to transform your complex data into business insights and modernize your data landscape. We help you achieve insight, innovation, and impact through big data, machine learning, predictive analytics and visual story-telling.

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Power BI Showcase: Rail Crew Analytics

Using the Microsoft Azure Data Platform, CloudMoyo enabled a Class I railroad operator to manage its crews better.

The Problem:

After successfully implementing CloudMoyo’s Rail Crew Management application, the Class I Railroad wanted to take the solution a notch higher by enabling real-time analytics to take executive decisions and improve rail crew performance.

The Solution

With its expertise in analytics using the Microsoft Azure Data Platform as well as core domain knowledge of delivering solutions to railroads, CloudMoyo developed a cloud-based data analytics system that analyzed a very high magnitude of data. With the help of an enterprise Cloud BI architecture, complemented by visually appealing Power BI dashboards, the railway could now gain unprecedented insight into its business.

Benefits

  • Enhanced visibility of railway performance with deeper drill down into various metrics giving the ability to track rail operations
  • Presentation of information in easily consumable charts and dashboards helped in slashing the time to collect data and focusing more on analyzing it
  • Role-based reports for top management, operation, and the field
  • Following were some key metrics enabled via various modules of CloudMoyo Crew Analytics: Train Analyzer, Dwell Analyzer, Crew Analyzer, Crew Pool Analyzer, Duty Analyzer, Crew Call Analyzer

Value Add

Our solution helped the railroad to bring attention to key performance areas which needed prompt remediation. For e.g.-

  • Increase in dwell time for trains at any particular station
  • Crew member duty period exceeding 16 hours
  • Significant IVR rejections due to seasonality
  • The heavy incurrence of dead-heads

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