Our Data Analytics Consulting Services for Transport
We provide a service-led data analytics consulting solution for transportation companies who want to take control of their data.
This results in:
Improved business performance and understanding
Confident decision-making from reliable data
Turning your company’s data into insights and actions
Data Analytics for the Transport industry
- To make informed decisions from data
- To forecast and keep track of trends
- To improve customer delivery and travel costs
Benefits of Data Analytics for Transportation
Optimization of Routes and Schedules
Advanced analytics can help in analysing traffic patterns, weather conditions, and demand trends to optimize routes and schedules. This reduces travel times, saves fuel, and improves service reliability.
Fleet Management
Data analytics enables more efficient management of transport fleets by monitoring vehicle health, predicting maintenance needs, and optimizing fuel usage. This helps in reducing operational costs and prolonging the lifespan of vehicles.
Safety Enhancements
By analyzing data on past incidents, near-misses, and vehicle performance, the industry can identify potential safety hazards and implement measures to prevent accidents. Predictive analytics can also play a crucial role in foreseeing and mitigating risks.
Improved Customer Experience
Data analytics can provide insights into customer behavior and preferences, allowing for personalized services, dynamic pricing, and improved customer communication. This enhances customer satisfaction and loyalty.
Competitive Advantage
Organizations that effectively utilize data analytics can gain a competitive edge by offering better, more efficient, and tailored services, often at lower costs.
Our experience in Transport
David Laws has worked with fleet management and logistics
David studied Engineering, Science and Technology at Loughborough University with a placement year at British Sugar’s engineering project team. He then continued to study and gain vocational consultancy experience at the University of Cambridge on the Advanced Course of Design Manufacture and Management.
David’s early career was mainly in Leadership roles in FMCG manufacturing company’s. These roles focussed on days and shift management of operational and engineering teams in the production of food, drink and pharmaceuticals. This involved planning and scheduling of maintenance, capital and improvement activities.
During this time David was involved in numerous projects. David used his technical and project management skills to drive process improvements in large organisations including Boots, Kerry Foods and Catalent. These projects included day to day implementation of continuous improvements methodology’s, as well as major engineering capital projects, labour saving and quality improvements.
David transitioned into data analysis and MI reporting roles. His initial role was supporting 3M with their Excel point of sale (POS) reporting. This role saw him learn and develop ETL and database software skills as well as presenting data in Excel 2013 (the prequel to Power BI). David then moved to contract roles which saw him develop reporting in a cross section of industries, including Energy, FinTech and casual dining.
David build on his skills ands moved into data engineering roles. These has seen him worked ingesting, integrating and migrating data for several organisations. This has seen him gain knowledge of the data architecture to supplement his reporting skills.
Since moving to Select Distinct in 2022 David has worked with a number of clients across a range of industries. This has included projects involving fleet management monitoring.
We’re service led, rather than product-led
Registered Management Accounting practice
We specialise in Database Management for businesses wanting to get the most from their management accounting and analytics
We work directly with your employees to upskill your team
Frequently Asked Questions
How can data analytics improve our fleet's fuel efficiency?
By integrating data from telematics, fuel cards, and maintenance logs, we create dashboards that highlight inefficient driving patterns, excessive idling, and vehicle-specific performance issues. This allows you to make data-driven decisions that directly reduce your carbon footprint and operating costs.
Can you help us optimise our route planning and delivery times?
Yes. We analyse historical traffic data, delivery windows, and load factors to identify bottlenecks in your network. Our Data Engineering expertise allows us to unify fragmented data from various GPS and scheduling systems into a single view, helping you improve "On-Time-In-Full" (OTIF) rates.
Do we need to replace our existing transport management software (TMS)?
No. We follow a "Software Second" philosophy. Most transport companies already have the data they need within their current TMS or ERP. We focus on extracting and modelling that existing data—often using tools you already own like Power BI or SQL Server—to provide the insights you’re currently missing.
How does data analytics help with vehicle maintenance and downtime?
We help move your operations from reactive to Predictive Maintenance. By analysing wear-and-tear data and historical breakdown trends, we can help you schedule servicing before a failure occurs, significantly reducing unplanned downtime and keeping your fleet on the road.
Will our dispatch and operations teams be able to use these reports?
Absolutely. A key part of our 5-Step Journey is the "Plain-English Handover." We design intuitive, easy-to-read dashboards specifically for operational staff, not just data scientists. We ensure your team is fully trained to use these insights to make faster, better decisions every day.