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Testimonials
The BeyondCore Difference: 30% quality improvement in days not months

"In a matter of days, BeyondCore's unique solution identified easy-to-implement opportunities for improving our quality by 30%. I was impressed that BeyondCore was able to create 30% improvements on top of our advanced quality control methodologies which include state-of-the-art rule-based software. BeyondCore's low-risk high-gain methodology makes them an excellent choice for companies that wish to improve their back-office quality while reducing costs."

Niraj Patel,
CIO & EVP, GMAC Commercial Mortgage
 
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BeyondCore Technology
Introducing the leading automatic error pattern identification
and root cause analysis technology
 
 
Finally, the next generation innovation for rapidly reducing operating costs by eliminating errors
 

BeyondCore's Software as a Service (Saas), software appliance and enterprise software solutions automate 80% of traditional quality improvement activities, from error detection, to error pattern identification and root cause analysis, to enable dramatically faster quality improvement.

BeyondCore's patent pending technology combines three different categories of algorithms to solve a problem that has been the Holy Grail of operations improvement for decades. First we use patent-pending learning algorithms to on-the-fly identify the operating norms of your specific process. Second, we use peer-group error patterns and root cause databases to use information we have learnt from other engagements to identify the root causes of errors in your process. Finally, we transparently apply the statistical algorithms which are the backbone of operations analysis without the user ever having to understand the difference between Sigma and Chi.

 
BeyondCore Insight Advantages
Traditional Quality Improvement Initiatives
BeyondCore Software
Manual Automatic
Humans can only identify about 60% of errors Automatic system identifies up to 95% of errors
Manual processes can't record fine-grained error details & patterns Automatically record per employee & per document-field error details & patterns
Quality improvement methodologies require months of training or expensive analysts 30 minutes of training for supervisors; no impact on operators
Error pattern reports lack detailed error context Dashboard provides in-context error details
Expensive experts spend 80% of their time on low-value-added activities such as data collation and graph generation Automates data collation and graph generation; experts can focus all of their time on value-added pattern interpretation
Initiatives require months to produce results Raw data to finished report in minutes; quantifiable cost reduction results in days
 
 
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