How to Use Transportation Analytics and its benefits

Through data analytics it’s possible to improve vehicle performance, reduce costs, improve processes, establish strategies, optimize routes and times, and foresee and identify problems, among others.

Transportation analytics takes a variety of data ecosystems, helping industry leaders to use advanced analytical techniques such as machine learningBig Data and geospatial data to optimize business strategies in the sector.

Predictive analytics in enterprises can answer questions such as “What is the best possible outcome?” or “What is the most efficient route to effective distribution?” Foreseeing from events that may affect transportation such as weather, road closures, strikes, maintenance, traffic, risk zones and estimate the impact of development projects to help identify an alternative project without obstructing mobility.

“Image representing a visualization of Foot Traffic for a specific location in U.S. California.”

With the growth of multimodal transportation, the need for different transportation routes analysis are essential.

[button button_text=”Like what you see? Request a free DEMO” button_style=”style-1″ button_arrow=”true” button_rounded=”true” font=”Default” button_size=”medium” font_size=”” button_icon=”” button_align=”center” padding_v=”” padding_h=”” button_link=”/request_demo/” link_open=”_self” href_title=”” id=”” class=”” bg_color=”” text_color=”” border_size=”” border_color=”” border_radius=”” h_bg_color=”” h_text_color=”” h_border_size=”” h_border_color=”” h_border_radius=”” margin_top=”” margin_bottom=”” margin_left=”” margin_right=””]

Highways

Geospatial data and machine learning can be used to analyze where, why and when accidents occur, determine future road projects, keep track and identify pedestrian and vehicles movement patterns behaviors, etc.

Railroads

Big data analysis applied to the railway sector can improve safety, scheduling, automatic planning, network and ticket management, among many others.

Air
Strategies can be implemented to improve employee performance, identify peak and off-peak periods, optimize routes, costs and maintenance liabilities, design an efficient infrastructure model, or even classify travelers to better maximize sales.

Port

With Big Data and machine learning, you can improve vessel monitoring for more effective voyage planning and execution, forecast weather stations, optimize fuel costs, establish maritime routes that reduce costs and times, etc.

There are many challenges facing the transportation sector today that can be solved with business intelligence analysis focused on transportation.

At PREDIK Data Driven we integrate data analysis from multiple sources, minimizing logistical problems and automating a predictive model to project future trends, identify business needs and build long-term strategies to maximize revenue.

Do you need a transport analysis to optimize your business processes and costs?Contact us!

    Size of the Company (*):

    Industry (*):

    We will use your information according to our privacy policy.

    I would like to receive relevant updates from PREDIK Data-Driven by mail.