Selected Use Cases & Case Studies
Safety, Reliability & Efficiency in Transportation
managing Aviation Reliability and Supply Chains with industrial ai
Photo by Aaron Barnaby on Unsplash
No business better demonstrates the power of analytics to improve safety, reliability and efficiency than aviation. This case study features Industrial AI insights on maintenance demand driven by component reliability as well as reparable component supply. The analytics address maintenance and logistics ecosystems of commercial aircraft fleets or similar fleets. Connect with us to learn how the scalable Industrial AI approach, operationally used at US Air Force, can be applied to your fleet operations. Inquire about a rapid proof of concept demonstration of the value of automated analytics and explainable AI on your component maintenance removals data, all summarized in an automated report that can immediately add value in your maintenance organization.
Highway traffic & safety management .
Photo by Javier Esteban on Unsplash
Today’s big data sources and new analytic capabilities can provide quantitative evidence of a concept long believed to be true, but without good means to prove it. Variable Speed Limits (VSL) on highways, widely accepted in some parts of the world, are believed to enhance flow on highways. Using some of Teradata’s unique data science tools, we developed a way to frame the problem of “turbulent flow” on highways and measure the improved flow in a VSL installation conducted by a state department of transportation on a major stretch of interstate highway that is subject to daily traffic bottlenecks and both recurring and non-recurring congestion.
Optimizing Revenues & Managing User Experience
automated business analysis in travel industries
Photo by Roberto Arias on Unsplash
The travel business is one of the most dynamic in the world: channel proliferation and social media are just the latest challenges to travel marketers. While sophisticated tools help travel enterprises manage prices and bookings months in advance, sales departments and channel managers have few tools to prioritize their engagement. Automated business analysis is for marketers who want a scalable approach to complement existing analytics, metrics and dashboards. It scans any relevant data for exceptions to previous patterns, finding anomalies that would otherwise have taken weeks or months to find. Automating both scanning and drill down prioritizes issues while still emerging and actionable.
retail store experience visualizations & animations
Photo by Christopher Burns on Unsplash
Retailers are on a journey to better understand their customers. At one time, they were limited to tracking what customers bought and keeping tabs on bestsellers. Today, retailers can go far beyond that, connecting the dots between how customers found them, and where they went afterward. Retailers can visualize a customer’s physical journey through the store and combine it with the digital experience. Data layering on top of detailed journey information is the key to identifying actionable insights. Read more on how Transity helps retailers connect the dots between customer journeys and business outcomes using interactive maps, data layering, and animations.
Smarter Cities, Creating Ladders of Opportunity
Mobility Analytics for Enhancing Marketing and User Experience
Photo by Robert Tudor on Unsplash (subway)
In our increasingly urbanized society, accessibility is no longer a simple matter. While smart phones and mobility services help navigate sprawling geographies on a minute to minute basis, analytics are needed to identify accessibility gaps, impacted populations, and travel time reliability and experience. New ways to improve decision-making in both marketing and operations arise from location intelligence data that can be used to characterize where people live, work, and travel in-between. Using this data to illuminate customer journeys can quantify both actual and latent demand for mobility and other services, and lead to marketing initiatives, and improvements in user experience and operational efficiencies.
mobility impacts food security, the Vulnerable and More
Photo by Chantal Garnier on Unsplash
Smarter cities promise to be safer, more mobile, more sustainable, and most importantly, to create ladders of opportunity for all residents. Technology tackles the first three, but creating ladders of opportunity is a different challenge. Disadvantaged populations may be invisible to most smart cities technologies because challenges to well-being transcend any single dimension. Job accessibility, food security, and health care outcomes are closely tied, and solutions only visible with analytics. We are using Geospatial Data as a Service to extend the power of analytics to agencies and inform decision-makers with “ground truth” needed to improve accessibility and solutions for all.
Selected Quotes from Case Studies
“If all you do is design for reports, all you will ever have are reports; if you design for analytics, you will have the reports, and the capability to answer a whole lot of other questions as well.”
“As a B2C business, we must renew our customer base each and every day - this is an area where technology can do what cannot be accomplished in any other way.”