Manufacturing

Improve enterprise quality, lower costs associated
with poor quality, and increases production yield


HOW DOES THE DATA INSIGHTS PLATFORM ENABLE BETTER MANUFACTURING QUALITY?

Get a consolidated view of quality across products, people, places and processes. Gain in-depth knowledge of customer perceptions and detect potential problems early.

Enterprise Quality Data Management
  • Get a single, comprehensive view of quality across the entire product life cycle.
  • Eliminates data silos and combine the voices of the process, product, and customer
  • Integrates structured and unstructured quality: related from all sources
Predicts Quality                                                                                       
  • Achieves advanced process control (APC) using predictive modeling techniques, such as neural networking, regression analysis, and clustering
  • Automatically monitors the health of all the manufacturing processes to help ensure continuous product quality
  • Sets up downstream processes based on upstream results to compensate for prior quality issues
Advanced Early Warning Analytics
  • Quickly combines and analyzes huge quantities of data using predictive analytics with embedded AI
  • Identifies issues even before they occur, so proactive ad corrective actions can be taken to improve the outcome
  • Uses patented analytic models to detect emerging trends quickly and more accurately than traditional early-warning techniques
Root-Cause Analysis                                                                                    
  • Reduces junk and increases production yield
  • Boosts understanding of the complete spectrum of advanced leading market analytical tools from exploratory analysis to design of experiments with optimizers and cause/effect tools
  • Increases uptime and smoother operations by using root-cause analysis to promptly troubleshoot and correct issues


HOW DATA INSIGHTS PLATFORM FOR IMPROVING MANUFACTURING QUALITY?

Enable and support your quality driven strategy. Work quality to address issues. Then link customer feedback and expectations with design, engineering manufacturing and packaging.

1
Improve end-product quality
Drive continuous improvements in reliability, efficiency, and product quality by merging and analyzing large quantities of data using predictive modeling and anlytics. Increases uptime and smoother operations by using root-cause analysis to promptly troubleshoot and correct issues
2
Gain insight into real & perceived quality issues
Access and analyze all types of data – from written records of service calls from call center systems to traditional news sites and social media forums.
3
Improve end-product quality
Focus on mission critical issues and reduce costs by combining automated quality control measurement with monitoring and reporting. Integrate proven quality methodologies like lean and Six Sigma.


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SPEAK TO OUR EXPERTS TODAY

If you have queries or are ready to discuss how our Data Insights Platform can help you improving your organization govenance process.