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SAS Analytics for IoT

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About SAS Analytics for IoT

SAS Analytics for IoT by SAS Institute is an advanced industrial analytics platform designed to help organizations derive actionable insights from Internet of Things (IoT) data.

SAS Analytics for IoT Details

Vendor
SAS Institute
Year Launched
1976
Location
100 SAS Campus Drive, Cary, NC 27513, US
Deployment
cloud, web browser
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Japanese, Chinese, Korean
Users
Data Analysts, Data Scientists, IoT Developers, Business Analysts, IT Managers.
Industries Served
Healthcare, Manufacturing, Retail, Transportation, Energy
Tags
IoT, IoT Analytics, SAS

SAS Analytics for IoT's In-App Market Place

Does SAS Analytics for IoT have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), INR (₹)

Pros & Cons

  • The software manages the entire journey of data from the initial sensor ping to the final business decision.
  • Its ability to process millions of streaming events per second makes it a powerhouse for high-velocity industrial environments.
  • The visual interface is genuinely helpful for engineers and managers who aren't experts in writing code or SQL.
  • You get world-class machine learning and statistical tools that are much deeper than typical "lite" IoT platforms.
  • It works across almost any setup, whether you are running on-premise, in a private cloud, or through major providers.
  • The sheer depth of the platform means your team will likely need specialized training to use it effectively.
  • It is a premium enterprise solution that might be too expensive for smaller operations or simple monitoring tasks.
  • Setting up the initial data models and ETL pipelines for complex machinery can be a time-consuming process.
  • You really need a strong IT infrastructure and high-quality data to see the value promised in the marketing.
  • The system is so powerful that it can feel like overkill if you only need basic dashboarding and alerts.

SAS Analytics for IoT's Support Options

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