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Rail Fleet Management: How Technologies Help Handle Asset Tracking and Maintenance in Freight Rail Industry

Altexsoft

miles long carrying 82,000 metric tons of ore), and more sustainable (one ton of freight can be moved over 470 miles on just a single gallon of diesel fuel). All the rest are smaller, regional/short-line operators that connect industries to supply sources (e.g., KPI monitoring and analytics. Managing lease contracts.

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Power BI Experts & Dynamic Dashboards: Decrypting AMOT’s Business Success Story

Sunflower Lab

In the manufacturing industry’s competitive landscape, excelling in the digital era involves more than quality products; it’s also about leveraging your data and using it for data analytics, online analytical processing.

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Power BI Purchase Dashboards

Sunflower Lab

Power Up Your Business Intelligence with Power BI Turn complexity into clarity with our user-friendly Power BI solutions. Purchase Order (PO) Cycle Time : This KPI measures the average time taken from the creation of a purchase order to the receipt of goods or services.

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Improving Decision Making by 75% using Supply Chain Visualization

Sunflower Lab

KPI Dashboard Units Per Transaction Metric: This metric calculates the average number of units sold per transaction. This transformation increased operational efficiency, empowered proactive decision-making, and positioned PCP for sustained competitiveness in the market.

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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

This KPI also helps categorize your suppliers. So, this group of KPIs show how effective your cost and procurement strategie are and what the impact on the company’s bottom line is. Cost reduction KPI is measured by comparing the old and current cost for the purchased goods and services. Inventory-related KPIs.

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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

In 2016, the company attrition rates were 4 percent higher over the industry benchmark. Deloitte reports that The Ministry of Energy of the Government of Mexico uses a predictive workforce planning and analytics model to learn about the current shortage of skilled workers in the oil and gas industry and predict one over a 10-year horizon.