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Quality Control

Six Sigma is the cornerstone of quality control and is rooted in statistical analysis. Big data analytics is also rooted in statistical analysis. Six Sigma, meet big data. It is about time that you two got to know each other.

Now that we have those introductions out of the way, let’s talk about practical applications. Quality assurance professionals are responsible for measuring processes and systems to detect variation from the norm, uncover root causes, assess anomalies vs. evolving trends and recommend adjustments or mitigation actions. Reducing defect rates, improving throughput and accelerating turnaround time are only some of the items that feature prominently on the typical QC short list.

The large data sets that drive this analysis also enable predictive modeling, which allows organizations to assess the implications of observed performance, develop strategies and programs to manage potential and likely outcomes, and most importantly, structure and evaluate scenarios to alter future outcomes.

Zementis solutions help bridge the gap between historical data and future outcomes for quality control, validating some hypotheses while invalidating others, and offering organizations insight that enables informed decision making that enhances quality.

ADAPA® and UPPI™ are ideally suited to quality control, as they speak the common language of statistical analysis that is the basis of quality control. Market data, business processes and IT systems ultimately reduce to data, and when this takes the form of large sets of unstructured data (or hybrid sets of unstructured and structured data), predictive analytics is necessary to provide accurate insight into future outcomes. Predictive analytics is revolutionizing quality control in manufacturing and business process management, as it offers a consistent and objective approach to detecting potentially significant issues.

Companies that use Zementis for quality control are integrating anomaly detection into their business decisions. In so doing, they create the capability to rapidly conduct focused root cause analysis to validate initial findings and decide instantly on remediation actions as necessary.

This is just one example of Zementis in action – enabling agile quality control capabilities to reduce variation and achieve targeted outcomes.

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