Wednesday, November 1, 2017

Vitria’s IoT Analytics Platform Empower Customers to Achieve Better Business Outcomes Faster

Vitria's IoT Analytics Platform provides a fast path to insights and actions that empower customers to achieve better business outcomes faster.

Hello David,

IoT Analytics is not an easy endeavor.  We have been working continuously on our IoT Analytics Platform for several years and continue to learn a lot from our new customers and prospects every day of the week.  They consistently amaze us with the breadth and depth of analytics use cases within their IoT initiatives.  As their analytics maturity has progressed, customers have driven us to innovative with new capabilities such as Analytics Data Flow (ADF) and Visual Explorer.

The fast pace in the last year has required us to accelerate our own development as well as the creation of new content and whitepapers that explain our platform and its many applications.  With all these changes, we recently wrote a new whitepaper on our VIA IoT Analytics Platform to put the new capabilities in the context of the overall platform.

In addition to ADF – our "low code / no code" visual development environment – VIA also now includes powerful new features in data ingestion, visual exploration of data, and many more areas.  VIA is a complete and comprehensive IoT analytics platform that enables the rapid design, development, and deployment of advanced real-time analytics against big IoT data.

To learn more about all the latest features in VIA, download our VIA whitepaper here

Would you like to see the full report of Vitria Extends IoT Analytics Leadership in Utilities with Frost and Sullivan Award?

And, as always, please feel free to contact us anytime at iotanalytics@vitria.com.                

Warm Regards,
Biyu Hua
Product Management
650-460-8624 | bhua@vitria.com

http://www.vitria.com/

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2 comments:

Cyber security training courses online said...

Informative blog. IoT analytics platform module focuses on delivering measurable business value, using intelligent big data processing and real-time data analytics.

George said...

Exploratory data analysisis an important part of any data analysis project. It allows users to gain an understanding of the data, ask questions, and figure out what data analysis they will do next." It is important to keep in mind that exploratory data analysis is not the same thing as a statistical test. "