Adjust Analytics vs DataRPM comparison

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8 views|7 comparisons
Progress Software Logo
6 views|3 comparisons
Ranking
47th
Views
8
Comparisons
7
Reviews
0
Average Words per Review
0
Rating
N/A
Views
6
Comparisons
3
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
adjust BI
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Overview

Real-time app analytics to measure and drive performance

Bringing users to your app is a critical step, but the real challenge is retaining and converting them. Integrating mobile app analytics into your marketing yields endless insight: understand your users and their intent, and make intelligent marketing and product decisions that boost conversion, retention and lifetime value.

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. 

Sample Customers
Dena, Lovoo, Scopely, Universal Music Group, Viacom International Media Networks, Zalando
Cisco, Micropact, Orange, Jaguar, Transaction Network Services

Adjust Analytics is ranked 47th in Marketing Intelligence while DataRPM is ranked 7th in Anomaly Detection Tools. Adjust Analytics is rated 0.0, while DataRPM is rated 0.0. On the other hand, Adjust Analytics is most compared with IBM Planning Analytics, whereas DataRPM is most compared with .

We monitor all Marketing Intelligence 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.