Data Analysis Research investigates technology and methodology to turn data into information for Avaya's systems, applications, and internal operations.
In the Data Analysis Research Department we pursue world class, fundamental research in data analysis technology that is shaped by important, real-world applications within Avaya. A general focus is that of data-driven research that has a real business impact. Goals include incorporating the best data analysis technology into Avaya's systems, products, and internal use; and presenting our work to the research community through publishing in the professional literature and giving talks and papers at research conferences. Technical interests in the department encompass: statistics, broadly defined including data analysis, theory, methods, computing and visualization; associated areas of computer networking; queueing theory and simulation; and related areas of computer science, e.g. machine learning, data bases, and expert systems. | initiative leader
James M. Landwehr I find applications across a wide range of fields to be fascinating and exciting. My own statistical research interests and publications have involved categorical data analysis, modeling, cluster analysis, graphics, and K-12 statistics education. As technology advances, we can attack larger and more complicated problems but some underlying principles remain relevant: understand how the data really arose, and what the real problem is that needs to be solved. My professional accomplishments have been recognized through being elected Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science (AAAS). I served as publications representative on the ASA Board of Directors and received ASA's Founders Award. Prior to this position I was a Distinguished Member of Technical Staff and research supervisor in the Bell Labs Statistics and Data Mining Research Department. | | | PROJECTS | |  | Business Advocate
All contact centers face situations when low-priority calls are pushed back, which leads to longer delays, abandoned calls and an overall negative impression from all but a company’s high-priority clients. | | | | | | | Chatter
A converged network is a complex network because data traffic and voice traffic both share the same infrastructure. | | | | | | | Contact Center Measurement, Reporting, and Analytics
In order to efficiently and effectively manage a customer contact center, comprehensive measurement and reporting of its activities are required. | | | | | | | Embedded Firewalls
Embedded Firewalls leverage VoIP-specific characteristics to prevent unwarranted requests from reaching IP phones before they can overwhelm a phone's processing capabilities and thereby disrupt communications. | | | | | | | ExpertNet
In an all-IP world — where both voice and data travel over the same network — knowing if an existing data network is ready to support IP telephony is critical. | | | | | | | Metrics, Graphics and Topology for Data Networks
Network tomography is an active field and includes studying how statistical inverse methods can be adapted and applied to important network problems, such as estimating various traffic flows and link characteristics that may not be directly observable. | | | | | | | ORBIT - Overlays Providing Reliability for Better IP Telephony
ORBIT improves IP telephony performance and reliability by intelligently monitoring connection quality, rapidly detecting network problems, and redirecting VoIP traffic in times of network trouble via independent relays scattered throughout a network. | | | | | | | Performance Analysis and Visualization for Enterprise Workflow
In a large, diverse service organization such as Avaya Global Services, the paths from reporting a problem through the necessary work steps to resolving the problem are many, varied, and complicated. | | | | | | | Policy-Based, Goal-Oriented Routing
Modern contact centers are expected to deliver business-critical support, sales, and services to customers worldwide. |
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