Detect emerging issues sooner. Find root causes faster. And shave months off your issue detection-to-correction time. With SAS, you can merge field performance data with key customer, product, manufacturing and geographic information for a comprehensive view of field quality. Then apply predictive analytics to identify issues quickly so you can address them proactively before they escalate and irreparably damage your brand reputation – and your bottom line.
Provide early warning with patented analytic models.
Define, prioritize and correct issues faster than ever. Patented analytical models enable you to effectively isolate failure modes and identify their true root causes so you can make well-informed corrective action decisions. Advanced forecasting and reliability techniques (including Weibull) help you understand how issues will affect costs and customers so you can prioritize them and focus resources where they will have the greatest impact.
Reduce your detection to correction time.
Consolidate all relevant field quality data – including call center and work order notes – into a single, integrated view. Then apply predictive analytics to automatically detect emerging issues much faster than traditional analysis can – before they have a significant impact on performance. You could shave months off your issue detection time, leading to substantial savings in repair costs and greater customer loyalty.
Lower your warranty costs.
Earlier issue detection and shorter correction cycles could reduce your resolution time by up to 70 percent. You could also lower warranty costs by up to 20 percent by shipping fewer faulty products and decreasing the size and number of recalls. By shortening the time issues exist in the field – and reducing the number of customers affected – your risk of negative publicity through traditional and social media channels is greatly diminished. And that means fewer costly campaigns needed to help counteract damage done to customer satisfaction levels and your brand's reputation.
Easily implement enterprisewide operational improvements.
SAS Field Quality Analytics integrates seamlessly with the full SAS Quality Analytic Suite, including SAS Production Quality Analytics and SAS Asset Performance Analytics. A common code base and data model make it easier to implement enterprisewide operational improvements by enabling you to take a modular approach to adding analytic capabilities as your organization matures.
- Data management. A standard, extensible data model lets you consolidate data from disparate sources. Flexible database support lets you store models in SAS or third-party databases, such as SAP HANA and Hadoop.
- Integrated warranty business rules. Address the complexities of warranty data with integrated business rules and algorithms for sales lag profiles, usage distributions, maturity calculations, seasonality adjustments, etc.
- Interactive issue analysis interface. Accelerate the issue investigation process by easily drilling down on one or more data points to get details on emerging issues.
- Automatic anomaly detection. Monitor emerging issues by automatically detecting anomalies based on violations of analytically driven critical values or manually input thresholds.
- Integrated text analytics. Extract and categorize essential information from large volumes of unstructured data and combine it with structured data to spot patterns and find related claims.
- Self-service reporting. Easily create reports using simple selection filters to define data sets and other criteria.
We’ve literally had double-digit improvements in our service incident rate, and subsequently our warranty cost year over year has decreased substantially over the past eight to 10 years.
For more information, read the SAS Field Quality Analytics fact sheet.
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