Datanautics Inc.
Datanautics Inc.
Suite 2001 1511 E SR 434
Winter Springs, Florida, 32708
Phone No: 407.349.5330
Our INTELLIGENT INTERACTION ANALYTIXâ„¢ approach is designed to identify breakthrough opportunities for process improvement and enhancement. As a part of the analysis process, our analysts go through a systematic review that starts with understanding your specific business strategy and model as it relates to customer support, followed by an intensive data collection phase that involves review of recorded interactions to identify trends and patterns.
The INTELLIGENT INTERACTION ANALYTIXâ„¢ data collection tool is customized for each specific client situation and is designed to quantify qualitative information. Additionally, the tool allows for multiple data elements to be correlated to piece together a composite perspective of a customer's interaction with your product/service and support process. On average our analysts will code each customer interaction into approximately 100 different data elements. Each project will be taken through a three step data collection process that is designed to quickly provide substantively useful insight using statistical analysis.
Once data collection is complete, the analyst then looks for improvement opportunities in 4 specific areas - operational efficiency, process effectiveness, customer experience and business insight. Applying rigorous and iterative analysis within this framework allows the analyst to develop data models that are predictive and can be used to determine cause/effect relationships between various data elements. These predictive models are then used to build ROI analysis that can help you determine what improvement projects to engage your operations teams on.
A typical INTELLIGENT INTERACTION ANALYTIXâ„¢ project lasts 90-120 days. The first half of the project focuses on the data collection and analysis. During the second half of the project our analysts work with your process improvement teams to implement changes that have been identified as having a high ROI. During this phase we continue to monitor and code customer interactions to ensure that the underlying predictive models are accurate.
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