Six Sigma, line-level reporting, MES systems and other methods are no longer sufficient for gaining insights from IoT data to improve decision making. Industrial IoT (IIoT) data operationalized through machine learning, streaming analytics and artificial intelligence accelerates innovation in all elements of manufacturing – from supply chain, to delivery, to service – for a cohesive view of production, process and product data. With IoT analytics from edge to cloud, manufacturers are better able to scale human observation and decisioning, explore new dimensions of digital transformation, and bring order to disorder.
How SAS® IoT Analytics Can Help
Manage and analyze your IIoT data where, when and how it works best for your business – from edge to cloud. Understand which data is relevant so you'll know what to store, what to ignore and what to act on now. SAS delivers trusted, automated IoT analytics solutions that can help you:
- Get higher manufacturing quality at a lower cost. Access and analyze all types of data – from call center systems, traditional news sites, social media forums or written records of service calls. Then integrate the data with your issue detection process for earlier warnings and corrective action guidance.
- Reduce warranty costs and risk. Consolidate warranty data from multiple sources and quickly decode its meaning. Automated quality control measurement combined with monitoring, tracking and reporting saves time and money by helping you focus on mission-critical issues in a timely manner.
- Improve production yield and throughput while lowering maintenance costs. Mine and analyze IIoT data at rest, in stream and at all points in between. Use predictive modeling to uncover insights and avoid issues – like unplanned maintenance or efficiency loss – before they occur.
Why choose SAS for IoT analytics?
- Enterprise-quality data management. Integrate structured and unstructured quality-related data from all sources to get an enterprise view of quality performance and drive improved quality outcomes.
- Superior root-cause analysis. Take advantage of a complete spectrum of analytical tools – from exploratory analysis, to design of experiments with optimizers, to cause-and-effect tools like Ishikawa diagrams.
- Advanced early-warning analytics. Identify potential issues early, even before they occur, so you can proactively take corrective action to improve outcomes.
- SAS is a leader in Streaming Analytics. According to The Forrester Wave: Streaming Analytics Q2 2021, “SAS packs the most analytics punch. SAS Event Stream Processing stands out as the platform with the most built-in analytics for machine learning and other advanced analytics. It also has a mature edge analytics capability for IoT applications.”
- Analyst Report AI in Manufacturing: Enabling Business-Driven Factory Innovations
- Article Analytics at the edge Examples of opportunity in the Internet of Things
- Analyst Report Advanced Analytics Excellence In Discrete Manufacturing
- Article Coming soon: The Internet of Cars
- White Paper Computer vision for product quality Delivering AI-embedded, industrial IoT analytics for the edge and the cloud
- White Paper Analytics That Matter: A New World
- White Paper Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services
- E-Book 5 Steps to Accelerate Value From Your Industrial IoT Data
- Analyst Report ARC Advisory Group Smart Manufacturing – Factoring in Energy Efficiency Alongside Data and AI
IoT Analytics Solutions for Manufacturing
- Data Management SoftwareSupercharge your AI journey with seamless data connectivity, enhanced transformations and robust governance.
- Multichannel Marketing Hub | SAS® Customer Intelligence 360Individualize every customer interaction in real time with a modern multichannel marketing hub.
- SAS for Improved Manufacturing Quality | Powered by AzureGain a holistic view of quality across the enterprise and throughout the entire product life cycle.
- SAS® Analytics for IoTDrive innovation, efficiencies and results by putting IoT analytics in users' hands – from predictive maintenance at scale to superior process optimization and quality, flood prediction and preparedness, energy cost optimization and beyond.
- SAS® Asset Performance AnalyticsHarness M2M and sensor data to boost uptime, performance and productivity while lowering maintenance costs and reducing your risk of revenue loss.
- SAS® Event Stream ProcessingUse machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.
- SAS® Field Quality AnalyticsDetect emerging issues and perform root-cause analysis to improve product quality and brand reputation.
- SAS® Production Quality AnalyticsGain a holistic view of quality across the enterprise and throughout the entire supply chain.