Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Decision Lens Impact Dashboard
Tech Stack
- Predictive Models
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Predictive Maintenance
- Fleet Management
Services
- Data Science Services
About The Customer
The Utah Department of Transportation (UDOT) is a state government agency responsible for maintaining and improving the state's transportation infrastructure. Utah, while ranking 33rd in population, is the 9th most urban state in the U.S. and 12th largest by land area. This leads to unique challenges for UDOT, including major congestion issues in urban areas and access issues in rural areas and for visitors to Utah’s five National Parks. With nearly 6000 miles of paved roadway to maintain, along with bridges and other surfaces, UDOT has a significant task at hand. They are also required to comply with federal legislation such as MAP-21 and the FAST Act, which have implications on how funds are allocated.
The Challenge
The Utah Department of Transportation (UDOT) faces the challenge of maintaining and improving its infrastructure, including nearly 6000 miles of paved roadway, bridges, and other surfaces, amidst increasing population and urbanization. The state's unique geographical and demographic characteristics, being the 9th most urban state in the U.S. and 12th largest by land area, add to the complexity of the task. UDOT also has to comply with federal legislation such as MAP-21 and the FAST Act, which have implications on how funds are allocated. The department needed a way to gain better insights into the performance of their assets to make more informed decisions and get higher value returns on their investments.
The Solution
UDOT turned to technology solutions to address their challenges. They implemented the Decision Lens Impact Dashboard, which allows them to combine their individual portfolios for a holistic view of their assets. This enables them to quickly understand the trade-offs needed to hit strategic performance goals. In real-time, adjustments to the funding of portfolios can be made to see the performance impacts to other portfolios. Changes can also be made directly to the individual performance metrics to see how much more money would be needed to hit certain performance thresholds. UDOT also established a set of criteria to measure projects against and gather feedback from stakeholders on those projects, resulting in a ranking of project values. This approach allows them to measure investments against performance goals and understand the impact that funding projects in one asset portfolio have across other portfolios.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.

Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.

Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.

Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.

Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.

Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”