Help your business run smarter
Data science solutions for IoT including Artificial Intelligence and Machine Learning
A set of data science solutions built for IoT
Extract greater business value from your IoT data
Smart Analytics
Turn-key IoT data stack in one solution, tailored to the entire connected asset lifecycle. Includes out-of-the-box advanced analytics for new predictive and prescriptive insights that can rapidly transform machine data to business outcomes.
Smart Analytics
Key features
| Features | Details |
|---|---|
| Data cleansing and data science expertise | Data design, clean up, and validation assistance. Supports multiple data formats. Access to leading data scientists specializing in IoT |
| Reduced complexity | Pre-built models, libraries, and visualizations plus streamlined process for building custom analytics and a no coding needed user interface. |
| Helps speed time to value | Out-of-the-box value with actionable insights delivered into business applications employees already use. |
FAQ
What is IoT Smart Analytics?
A cloud based, pre-built, turn-key set of data science solutions including AI and machine learning designed specifically for IoT. It combines IoT device data with other data sources for new actionable insights to help proactively solve business challenges.
How is Smart Analytics different from analytics included with other services?
Most analytics report information based on past behavior only. Smart Analytics uses advanced analytics and modeling to get greater value from IoT data. By learning the root causes of why things are happening, Smart Analytics can help predict what may happen so you can make immediate changes to improve the business. It helps shift companies from reacting to challenges to proactively solving and preventing challenges.
What types of business problems can Smart Analytics help solve?
Actionable insights can help improve order and replenishment forecasting, inventory management, capacity utilization, and sales. Additionally, deeper learnings can provide a better understanding of consumer preferences, enable preventative maintenance, and improve truck roll optimization.
Does Smart Analytics require data science expertise to use?
Data science experience is not required. The user interface, models, and tools do not require coding. Packaged Insights are also available without having to use any of the tools.
Smart Analytics Resources
Discover how Smart Analytics can help you make your company smarter
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