SAS Analytics for IoT

SAS Analytics for IoT covers the full IoT analytics life cycle – from data capture and integration to analytics and deployment.

Languages supported: German, English, French, Spanish

9.0/10 (Expert Score) ★★★★★
Product is rated as #15 in category IoT Analytics Software
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For users who need to quickly extract value from their IoT data and investments – in days, not months – SAS Analytics for IoT provides an integrated, business-focused interface that employs a proven way to organize, visualize and act on high volumes of diverse IoT data using a secure, flexible and scalable AI-embedded IoT Analytics platform. This solution’s capabilities are compelling for variety of users including line of business, engineering, IT and data science professional, extending the use of analytics and collaboration the enterprise, and optimizing current IoT investments – SAS, third party and open source.

Why is it important?

Progress from preventative to predictive and prescriptive analytics is slow as companies struggle with data complexities, and with how AI and machine learning can coexist with existing statistical models.

Embedded with advanced analytics and AI, SAS Analytics for IoT offers a solution to the data complexity issue across the analytics lifecycle with a sensor-based data model, streamlined and extensible ETL, an integrated business-focused data selection interface, and high frequency data visualizations that accelerate time to value from IoT data and investments – in days, not months — without coding or specialized skills. These capabilities translate into millions saved in unplanned downtime, timely improvements in operational excellence that boost bottom line results, and advances in digital transformation that enhance customer experience and generate services to drive new revenue streams.

The solution ensures that all types of users across the enterprise can quickly and confidently extract the value they seek from volumes of diverse IoT data and investments – SAS, third party and open source.

For whom is it designed?

For all types of users across a range of industries including, Manufacturing, CPG, Energy and Retail, who support mission critical processes and digital transformation, SAS Analytics for IoT’s streaming execution engine with AI provides real-time analytics, ensuring timely and accurate decision making. With a streamlined ETL and an extensible data model, users can do ad-hoc analysis and analytic system development without knowledge of the underlying data structure. By integrating data preparation, organization, business-focused data selection and exploration, SAS Analytics for IoT optimizes current IoT investments and skills (SAS, third party and open source), and extends the use of IoT analytics and the power of collaboration across the enterprise.

SAS Analytics for IoT
SAS Analytics for IoT

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Customer Reviews

SAS Analytics for IoT Reviews

User in E-Learning

Advanced user of SAS Analytics for IoT
★★★★★
Reviewing SAS

What do you like best?

After using this program, it has been noted that it is consistently well used as a tool for making quick data sets and viewing information in multiple different ways.

What do you dislike?

While the program usually runs smoothly, there can be small hiccups here and there. Nevertheless, the error log can be helpful in checking the work and ensuring that the proper corrections can be made to display information efficiently. If used correctly, the sharing of data is usually quite easy to manage.

What problems are you solving with the product? What benefits have you realized?

This program has helped with multiple different analyses and questions for biostatistical and epidemiological data sets and studies.

Review source: G2.com

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