SAS Field Quality Analytics Features List

Data management

  • Standard, extensible data model.
  • Prebuilt ETL process to load data and metadata while automatically configuring the user interface.

Early warning analytics

  • Automatically determines analytically driven critical values.
  • Enables entry of manual thresholds for safety and regulatory issues.
  • Simultaneously monitors changes across production period, usage and event period.
  • Generates automated alerts and notifies relevant issue owners.
  • Enables dispositioning and commenting so current status is easily understood.
  • Provides drilling into alerts to conduct further analysis.

Issue analysis & prioritization

  • Prebuilt, warranty and field quality-focused analyses, including Pareto charts, control charts, exposure charts, reliability analysis, forecasting, decision trees and sequence analysis.
    • Drill into results to conduct further analysis.
    • Review raw event data.
  • Advanced analysis with hundreds of analyses and charting options, including descriptive analysis, table analysis, ANOVA, regression, multivariate, survival analysis, capability analysis, control charts and graphs.

Integrated text analysis

  • Analytic models to recognize patterns in text.
  • Ability to identify similar comments to quickly assess the scale of an issue.
  • Word search that includes jargon, synonyms, misspellings and other related words.

Easy reporting capabilities

  • Project-oriented interface for creating both simple and complex reports:
    • Workflow mirrors the warranty analysis processes.
    • Powerful filters for easily subsetting and combining data.
    • Group analyses by project.
  • Powerful dashboarding capabilities.

Integration & interoperability

  • Data access options and real-time, streaming analytic model deployment through the included SAS Event Stream Processing.
  • SAS Platform Integration to navigate the full set of provided SAS products.
    • SAS Drive allows organization and reuse of objects across SAS products.
    • SAS Visual Analytics allows customization of analysis output.
    • Launchers prepare data for use in advanced analytic tools.
  • Seamless integration with SAS Production Quality Analytics to follow the quality trail back into the manufacturing process.
  • Seamless integration with SAS Asset Performance Analytics to maximize uptime and provide predictive maintenance for assets in the field and in the manufacturing process.
  • Extensibility through APIs that enable integration with existing systems, such as dashboards and issue-tracking systems.