Fleet Management Analytics


fleet management analytics

 

Published February 2017  ·  Report No. FMA543K17 · Price US $1,850

 


For the commercial trucking sector, the past decade has been marked by the adoption and integration of vehicle electronics designed to capture operational data on fleet performance. This information has been used to improve fleet efficiencies – primarily in the areas of fuel costs, driver performance, and asset utilization – and to meet the increasingly stringent shipper and consignee demands for tight gat-in/gate-out pick-up and delivery windows. The industry is now entering the next phase of vehicle digitization and data acquisition – one that is marked by two important trends. The first is the increase in telematics capabilities being integrated into vehicles by OEMS. This report deals with the second trend – the integration of analytics programs for acquiring and analyzing the growing volumes of data being generated by vehicle sensors and wireless networks. To be successful, fleets adding analytics to their operations will be faced with many important questions – questions that must be answered correctly if the expected ROI of their investment is to be realized.

 

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Fleet Management Analytics – What You Will Learn

• What are the commercial analytics solution segments and what are the operational risks and opportunities for each?
• What are the elements associated with selecting and implementing fleet management analytics?
• What are the key success factors for optimizing the value and operational benefits of fleet analytics?
• How can my fleet differentiate itself with clients/customers as analytics become ubiquitous?
• Who are the leading analytics solution providers selling into the fleet management segment? What are their product strategies and what is their market presence?
• What are the important market factors that can influence my fleet’s experience with analytics?
• What does the fleet management analytics market look like? What will it look like in 2020?


Fleet Management Analytics – Table of Contents

Executive Summary

The Case for Analytics & Fleet Management

Fleet Performance Factors
Competitive Factors
Customer Engagement Factors

Analytics Implementation

Analytics Solution Selection Factors
Needs Assessment & Sourcing
Discrete Monolithic Analytics Programs
Legacy System Analytics Modules
Desktop Analytics
Fleet Analytics Data Segments
Vehicle Telematics Data
Delivery Performance Data
Operating Cost Data
Asset Utilization Data

Fleet Analytics – Success Factors

Data Quality
Data Integration
Implementation Strategies
Access to Analytics Output
Dashboards and On-Demand Summaries
Mobile Device Accessibility
Data Security
Value-structured Analytics
Contextual Data vs. Ambiguous Data
Alignment to KPIs
Fleet KPIs
Key Customer Performance Metrics

Fleet Analytics – Competitive Differentiators

Predictive Analytics
Pattern Recognition
Real-Time Customer Analytics Portals
Integrated Analytics – Issues and Opportunities

Fleet Analytics Market Analysis

Adoption Rates & Usage Trends
Analytics Solutions Provider SWAT Analysis
Forecasts to 2020

Market Factors

Heterogeneous Data Sources
Evolving Shipper Data Requirements

Analytics Solution Provider Profiles

Related Publications

Commercial Vehicle-to-Vehicle Communication
Integrated Terminal Management
Fleet Management Analytics
Video-based Driver Risk Management