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Data Analytics

Rail Consultancy & Data Analytics

Our new generation of tools are driven by real-time data feeds that are used by our consulting practice to help clients make smarter decisions and solve complex business challenges.

A new generation of data potential

We use advanced machine learning and AI techniques to identify and predict meaningful patterns from large data sets and develop unique market insights in real-time.

Smartly deployed data analytics provide premium insights that underpin great decision making. This is an area where many large management consulting organisations lack the credibility of specialist technology companies like JNCTION.

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Our experience

Our data scientists and analysts are experts in rail data and are highly experienced at providing actionable insights for rail-specific problems.

Our services include performance analysis, infrastructure usage, timetable development and planning, as well as signalling improvement.

Our team

Working with you from start to finish

Identifying Priorities and Challenges

Working alongside your teams, we will identify your priority areas and biggest business challenges. We will scope what you want to work on and how we can help.

Tool-Agnostic Approach

Unlike many organisations, we are tool-agnostic and work with the best tools for your specific challenge. We like to demonstrate the application of our analysis through proof of concept, before scaling to the wider business or other geographies. We can help you:

  • Give your customers improved experience through better understanding of their trends
  • Reduce delays by building a holistic picture of your asset performance
  • Improve your performance metrics through optimised timetables
  • Monetise your data by using it to provide analytics insights to other business (e.g. retail, food outlets

Sustained Implementation and Support

By working with you throughout, identifying clear technical owners for our solutions within your business and supporting the roll-out with excellent communications to win heart and minds, our team make change stick and help you realise the benefits long-term.

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We've worked with some of the leading rail companies...

“JNCTION were quick to develop and launch a brilliant app that has gone down extremely well with our teams.”

— John Geary, Head of Customer Experience at MTR Corporation

Example applications for our rail data and expertise

Saving £ through improved service recovery

Our Approach

  • Time stamp when asset/incident is fixed (e.g. the repair has completed). Timestamp when services return to normal.
  • Generate picture of typical ‘return to normal’ times. Benchmark and analyse trends to improve future performance

Benefits

  • £ saved from reduced disruption duration
  • Increased customer satisfaction

Blog

Saving £ through better maintenance response

Our Approach

  • Timestamp when an incident starts. Timestamp when maintenance team arrives on site. Time stamp when asset/incident is fixed (e.g. the repair has completed).
  • Generate picture of typical ‘fix times’. Benchmark and analyse trends to improve future fix time performance (e.g. tailor training plan for engineers)

Benefits

  • £ saved from reduced disruption duration
  • Increased customer satisfaction

Case Study

Improved On-Time performance through optimised timetables

Our Approach

  • Using accurate time stamps, calculate whether services gain or lose time on particular sections of journey (i.e. change in lateness)
  • Model impact of changing Section Run Times or Dwell Times on overall performance metrics

Benefits

  • Improved On-Time performance
  • £ saved from fewer knock-on delays caused by deviations from schedule
  • Reduced emissions/environmental impact/fleet wear and tear from smoother driving profile

Case Study

Higher PPM% through optimised station turnaround operations

Our Approach

  • Identify services (destinations, platforms, timings) which consistently lose time at intermediate or terminus stations
  • Review the operations of those stations to suggest opportunities to improve

Benefits

  • Improved right-time departure performance, even for tight turnarounds or late incoming services
  • Better punctuality en-route and at destination (better PPM% or STPM%)
  • £ saved from fewer knock-on delays caused by late departure from terminus

Case Study

Air quality and emissions estimates for improved environmental performance

Our Approach

  • Quantify performance improvement opportunity from improved station turnarounds and dwells
  • Compare expected speed (acceleration/deceleration) profiles for journeys before/after performance improvements
  • Quantify the difference in expected emissions (NOx, CO2 etc)

Benefits

  • £ saved through identifying required long-term interventions early and starting to plan now, rather than years down the line
  • Reduced environment impact from improved performance
  • Green credentials amongst industry peers and from customers for being pro-active

Case Study

Generating data-driven training plans for Network Rail and operators

Our Approach

  • Identify trends in performance-related data, such as PSS TRUST Delay Attribution, Ellipse Workbank, MSTs and Automated Driver Competence Indicators
  • Benchmark typical performance between teams and within teams
  • Establish the links between performance, competences and training to develop a tailored training plan

Benefits

  • £ saved through only spending on the appropriate training, where there is a business case
  • Improved performance (inc PfPI £ and Delay Minutes) through focussing on the main challenges