Improving customer and operations insights with big data analytics in travel & transportation.
Who doesn’t love an old-timey nostalgia laced train ride? We commonly associate train travel with the simpler times of our grandparents or a good old western movie. The reality of the railway transportation system is far from slow, simple and nostalgic, but a highly engineer ecosystem. Like many other industries today, railroad companies are integrating machine sensor data and business data into many different aspects of their operations to make better informed decisions.
There are certain aspects to the railway system which are predictable. The staff, cars, schedule, etc. are predetermined before a single car is moving. However, just like any train ride, the real magic begins once the trains start moving as does all the data being generated. Whether your data is coming from maintenance logs, GPS units combined with weather data to ensure train safety, handheld field tablets, GPS units that record speed, distance between trains, arrival time and location, visual and acoustic sensors in brakes, rails, switches and other hardware (e.g. RFID) or even your CRM, we are here to partner with you on your advanced analytics journey.
Original Equipment Manufacturer (OEM)
Introduction to OEM
With near-real time information and predictive analytics, together we can help you operate more efficiently, save on fuel consumption, predict shipments and keep trains running on time.
From the 1800’s until today, there has always been an obfuscation between the equipment engineers and what customers are doing with your equipment. How many repairs go unreported to the OEM, especially if it didn’t require a spare part or a warranty issue? With changes in how data is gathered, engineering will have a massive store of information that is not only completely comprehensive compared to traditional feedback from the field, but actually accessible and comprehensive. Visibility of the entire fleet, not just those that are selectively monitored, will enable teams to analyze the condition of every part —working or not —over time. Seeing conditions that lead to failure or success will be as easy as eating apple pie. Information about failures will be reported regardless of whether the OEM participates in their remedy or not helping engineers produce more efficient and longer lasting designs
Asset & Component Management
Many travel and transportation organizations lack visibility into asset health, incur high costs from unscheduled maintenance and are unable to determine root cause of failures. Predictive Maintenance Analytics helps capture data from equipment sensors and integrates with data from visual inspections, manual measurements, etc. to maximize equipment life and yield while reducing maintenance costs. By leveraging on-board sensing, monitoring, and diagnostics, we can design advanced analytics solutions that monitor the health of the locomotives and rail cars to provide prescriptive repair recommendations on the components reducing equipment and track failure and ensuring on-time performance monitor locomotive functions and performance to ensure peak efficiency.
Traditionally, the aftermarket has been a reactive practice of fulfilling parts or dispatching service after the customer calls in an order or a repair. Big data analytics has started the evolutionary switch from a product-oriented to a service-oriented business model; aftermarket teams can now focus on proactively providing parts and service. Ideally, the OEM’s service team should know when a service event will happen prior to the operator and ultimately will be able to mitigate them before an event even happens. The buzz words of innovation and invention here becomes essential: the more information services that the aftermarket organization can deliver, the more opportunity there is for building and bundling sustainable revenue and competitive advantage.
Passenger & Freight Transportation
Passenger & Freight Transportation
Today’s rail transportation companies seek solutions to drive more efficient and predictable operations. In a world where fuel and labor costs continue to rise, weather events increasingly drive network disruptions, and maintenance complexity is growing exponentially, rail transportation companies seeking competitive advantages must:
Here are just a few of the things our analytics skill set can bring to the table when it comes to the rail transportation industry.
- Traffic Management / Network Optimization
- Operational Intelligence
- Reduced Downtime / Derailments
- Reducing Emissions
Traffic Management & Network Optimization
Traffic management proves to be a field where data analytics can solve a variety of unprecedented issues the rail industry is currently facing. With more sensors going wireless, the ability to gain insight into the details of the transportation system is amazing. While the “connected train” may not be as big of a buzz as the “connected car” currently is, our expertise in transportation analytics for you yard or network can increase operational efficiency by increasing network capacity and throughput and lower costs with connected trains and move to designing the “connected rail system”.
Everything is connected…and now what? Connectivity and interaction capabilities are the first steps to get data, but there is a long journey after that: data storage, quality audit, enrichment and data-driven decisions. The true business value comes when you can reduce your costs, improve efficiency and essentially turn your transportation operations into intelligent operation and that takes some smart advanced analytics.
Reduce Downtime / Derailments
While we didn’t invent the crystal ball, we are coming pretty darn close with our advanced algorithms and data models. With Big Data and Smart Advanced Analytics we can monitor locomotive functions and performance to ensure peak efficiency and performance to proactively predict equipment downtime and forecast potential derailment opportunities. By leveraging on-board sensing, monitoring, and diagnostics, our analytic solutions provide health checks and prescriptive repair recommendations on the components reducing road failure and ensuring on-time performance.
While lowering emissions and focusing on sustainability is on everybody’s list of to-dos these days, proactively managing emissions and improving fuel efficiency can be a challenge. Effective use of optimization, forecasting and equipment maintenance analytics can help you become greener by becoming smarter. Machine learning algorithms can calculate fuel-efficient speeds for a train over a given route to provide locomotive engineers with real-time “coaching” on the best speed for a train from a fuel-savings perspective.