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DataRPM vs OpenText Analytics [EOL] comparison

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Ranking
7th
out of 7 in Anomaly Detection Tools
Views
6
Comparisons
3
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In Anomaly Detection Tools
Comparisons
Also Known As
Actuate BIRT, BIRT
Learn More
Progress Software
OpenText
Overview

DataRPM delivers a Cognitive Predictive Maintenance (CPdM) Platform for Industrial IoT. DataRPM uses Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures. CPdM is a full stack platform available on cloud or on premises that connects to the data lake and then automatically runs multiple Machine Learning experiments, finds patterns & anomalies in data, identifies influencing factors & predictors, and builds an ensemble of predictive models to automate Predictive Maintenance. Not only does CPdM platform delivers descriptive, predictive, prescriptive analytics through Natural Language Discovery module but also provides a closed loop system by integrating these actionable insights through APIs to ERP, CRM, and CMS systems. 

With OpenText Analytics Suite you can see all of information about your customers, products, and business operations. Leveraging all your data – whether structured or unstructured, internal, CRM, big data, Internet of Things, or social media – in relevant, interactive visualizations, increases your opportunities for growth by making better, faster, smarter decisions.

Sample Customers
Cisco, Micropact, Orange, Jaguar, Transaction Network Services
MalarEnergi, OSRAM, IPG, MVV Energie, Bidco Africa Ltd, New Zealand Transport Agency, Takett, Bernalillo County, Canal Digital Kabel, Corporate Synergies, Hydro Tasmania, Micronas, Distell, Johnsonville

DataRPM is ranked 7th in Anomaly Detection Tools while OpenText Analytics [EOL] doesn't meet the minimum requirements to be ranked in Anomaly Detection Tools. DataRPM is rated 0.0, while OpenText Analytics [EOL] is rated 0.0. On the other hand, DataRPM is most compared with , whereas OpenText Analytics [EOL] is most compared with .

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