Profitability Analytics in Transportation
Optimize Profits with Teradata Value Analyzer
Read Brochure: Profitability Analytics in Transportation
Uncover New, Revenue-Driving Opportunities….
Using Teradata’s advanced analytic capabilities, WW Grainger capitalized on data transparency to the transaction level to isolate insights toward improvements – and increase profits.
Read Case Study: WW Grainger: The Supply & Demand of Advanced Profitability Insights
Stay on Track by Predicting Failure Faster
Siemens uses Teradata to leverage sensor-data analytics and predictive maintenance to address train failures - before they even occur.
Read the Story: Siemens – The Internet of Trains
Take off with Data-Powered Tactics
Working with Teradata, DHL improved profitability and strategic and pricing decisions worldwide with one consistent view of revenue, and cost and profitability – a view achieved faster and at lower cost.
Watch the Webinar: Achieving Actionable Insights into Profitability with DHL Express
Uncover New, Revenue-Driving Opportunities
Use detailed revenue and costing techniques to drive business insights that might not be uncovered using traditional analytical methods. Teradata helps WW Grainger leverage profitability analytics to support brand/segment profitability reporting, value-based contracting/customer profitability, profitability of sales territories and branch channels, and profitability support for supplier negotiations.
Watch the Video: WW Grainger: Leverage Profitability to Drive Business Growth
Anticipate Stronger Successes
Big data analytics can both sense and predict the state of elements in a travel and transportation system in order to improve user experience, optimize operational efficiency, avoid equipment failures, innovate service quality, give visibility into supply chains, and tailor services and communications to user needs.
See the Video: Travel and Transportation: Big Data Analytics with Hani Mahmassani
Keep Asset Utilization on Track
Using Teradata solutions, transportation and network operators can reduce planned downtime, streamline procedures, and anticipate non-routine events to increase capacity and revenue without expending capital on new equipment.
Read the Report: Rail Network Businesses Demand Robust Solutions
Map Data with Logistical Modeling
The transportation, logistics and distribution industries are migrating from traditional service orientations to a more customer-centric focus. Teradata’s Transportation Logistics Data Model (TLDM) can help your organization become more agile and responsive by providing the business intelligence framework for a powerful and flexible enterprise data warehouse.