|8:30 – 9 a.m.||Registration and Continental Breakfast|
|9 – 9:15 a.m.||Welcome and Introductions|
|9:15 – 10 a.m.|
Keynote Address: Analytics 3.0 in Transport Businesses
Transport businesses were some of the earliest users of analytics, but they tended to be ad hoc and episodic implementations at best. Today the leading users of analytics and big data are moving to continuous analysis and decision making on sensors, telematics and other forms of big data. This usage is changing not only the economics of freight transportation, but also the relationships between companies and front-line employees. In this presentation, Tom Davenport will describe his recent work on “Analytics 3.0” – a framework for integrating both big and small data analytics – and the application of the ideas to transport. He will provide examples of both common and leading practices in transportation. He will also speculate on the relationships between humans, analytics and machines in the industry in forthcoming years and decades.
|10 – 10:30 a.m.||Break|
|10:30 – 11:15 a.m.|
Creating Value with Rail Forecasting
Railroads have begun to use various forms of forecasting to achieve improved accuracy in their long-range carload forecasts. But what else can forecasting help with? Forecasting has great potential for improving the railroad's ability to identify potential bottlenecks in operations as well as utilize assets better. Storlie will identify potential areas of opportunities where forecasting can be of further assistance for rail operations. He’ll also discuss best practices for forecasting and how to mitigate common change management errors that lead to improved technology adoption.
|11:15 a.m. – Noon|
Data Integration to Produce Faster, More Reliable Results
FedEx Express Air Operations is currently migrating to a new data warehouse and shifting table creation driven by business logic from IT programmers to operational business analysts. Haynie will review the FedEx high-level system design and examples of how FedEx Air Operations has used SAS Data Integration and SAS Business Intelligence to streamline and integrate data processes to achieve fast, reliable results.
|Noon – 1:15 p.m.||Lunch|
|1:15 – 2 p.m.|
Identification of Aberrant Railroad Wayside Detectors
Mahesh Kumar, Founder and CEO, Tiger Analytics
When an aberrant wayside detector incorrectly reports defects in an otherwise well-functioning railcar, it results in unnecessary repair expenses. Removing the railcar from being in service also affects revenue and service to your customers. This presentation will focus on analyzing historical failure rates reported by detectors in seasonally similar locations and traffic volumes, allowing your company to better predict false readings.
|2 – 2:45 p.m.|
SAS® Safety Analytics: Reducing Risk
Hear how using SAS to improve rail infrastructure can reduce risk. Quiles will discuss creating new or enhancing existing practical risk models related to personal injury, geospatial safety analysis and leadership interdependencies.
|2:45 – 3 p.m.||Industry Summary|
|3 – 3:30 p.m.||Break|
|3:30 – 4:30 p.m.||Transforming Your Organization Into an Analytical Enterprise|
Aiman Zeid, Senior Business Consultant and Program Manager, SAS
|4:30 – 4:45 p.m.||Break|
|4:45 – 5:30 p.m.||Lessons From the Trenches and Developing Your Analytical Structure|
Kimberly Nevala, Director of Business Strategies, SAS Best Practices
|5:30 – 6:15 p.m.||Networking Reception|
|7:30 p.m.||Industry Dinner at Ruth's Chris Steakhouse|