DataRPM vs Izenda comparison

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Progress Software Logo
6 views|3 comparisons
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22 views|21 comparisons
Ranking
Views
6
Comparisons
3
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0
Average Words per Review
0
Rating
N/A
24th
out of 31 in Embedded BI
Views
22
Comparisons
21
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
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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. 

User expectations for self-service business intelligence have changed. The users of your application now want to make operational and strategic decisions with real-time data within the application they use every day.

Our modern 3-tier embedded architecture lets you embed self-service reports, dashboards and data visualizations on any page of your application, unlocking the value of your application’s data to increase user adoption, satisfaction and ROI.

Sample Customers
Cisco, Micropact, Orange, Jaguar, Transaction Network Services
Department of of Natural Resources, Essette, Intersect Healthcare, Towers Watson, Starfleet Research, Jenzabar, Fiserv, PWC, Assetworks, Thomson Reuters, Hiperos

DataRPM is ranked 6th in Anomaly Detection Tools while Izenda is ranked 24th in Embedded BI. DataRPM is rated 0.0, while Izenda is rated 0.0. On the other hand, DataRPM is most compared with , whereas Izenda is most compared with IBM Planning Analytics.

We monitor all Anomaly Detection Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.