Advanced Data Mining
Early Warning with Multi-Variable Statistical Process Control
Charts
Text Mining
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Data Mining Examples and Ideas
Improve Customer Satisfaction
Improve customer satisfaction scores by discovering the
combinations of variables that your most unsatisfied and/or
satisfied customers have in common.
Once known, efforts can be focused on eliminating or encouraging the drivers.
Discover Emerging Product Quality Issues Control Chart Data
Mining
Identify emerging
quality issues while they are still small in quantity
and before they become major issues.
Based on Six Sigma techniques, our statistical process control chart data mining algorithm can
detect combinations of variables, including free form text, that produce a statistically
significant quantity of events, even when low in number.
For example, early
detection of an issue like a high defect rate on a certain
combination of product, part, and product age could be invaluable if
detected and corrected early, before it produced a huge number of
failures.
Increase Customers Satisfaction with Text Mining and Analysis of Survey Comments
Understand what customers have to say about your organization through text
mining of all survey comments and correlation of comments and scores back to sales and CRM data.
A thorough analysis of customer comments can be a rich source of
insights for an organization. We've found
that comments from satisfied customers are oftentimes ignored because of the
large volume of data involved in the analysis process; leaving only
the comments from dissatisfied customers
analyzed.
Our text mining service can process millions of records in minutes
making all survey comments available
for analysis. As a result, more insight and deeper understanding of
the customer experience is available.
Call Center Cost Reduction
Discover the combination of variables that drive the highest number
or newest types of calls into your customer support centers. Once
the combinations driving these is known, processes can be created
to divert them to online support.
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