DataRPM vs InsightSquared comparison

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Executive Summary

We performed a comparison between DataRPM and InsightSquared based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, Weka, Coralogix and others in Anomaly Detection Tools.
To learn more, read our detailed Anomaly Detection Tools Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Ranking
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Views
6
Comparisons
3
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Anomaly Detection Tools
April 2024
Find out what your peers are saying about Splunk, Weka, Coralogix and others in Anomaly Detection Tools. Updated: April 2024.
767,847 professionals have used our research since 2012.
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. 

InsightSquared is a Salesforce Analytics product for small- and midsized- businesses (SMBs). InsightSquared's business intelligence solution provides analytics tailored specifically to aide with sales, marketing, finances, staffing, and support services. InsightSquaredsales tools (with Salesforce integration) allow for objective performance analysis and predictions based on data, not intuition. You can forecast closed deals based on the win rates of specific employees, identify high-opportunity leads, and compare forecasts to historical sales averages. Pipeline management tools allow for the view of user-defined pipeline stages and lead progress. You can even identify your most efficient reps for each stage of the process for data-driven sales coaching. InsightSquared marketing tools help you analyze campaigns, leads generated, track sourced deal conversion rates, align with sales objectives, and identify times and methods of highest traffic and conversion rates. InsightSquared finance tools integrate with Quickbooks and cleanly display all historical data for the quick identification of trends. Drill-down, customer-based analysis not possible with Quickbooks alone and centralized company-wide reporting make accountants more productive and powerful. Staffing analytics from InsightSquared helps out HR. Job order management, candidate source analysis, and placement history analysis all allow you to better track prospective hires and their potential. Activity dashboards and data-driven coaching tools allow you to manage and better monitor the progress of your current employees. InsightSquare support analytics allow specific drill-down into problem accounts and customers, trends in time of day, time until resolution, rep success, and aggregated case management.
Sample Customers
Cisco, Micropact, Orange, Jaguar, Transaction Network Services
Allen Recruitment, Austin Fraser, Armada Human Capital Group, MemberSuite, Switch Video, MarketStar, Swipely
Buyer's Guide
Anomaly Detection Tools
April 2024
Find out what your peers are saying about Splunk, Weka, Coralogix and others in Anomaly Detection Tools. Updated: April 2024.
767,847 professionals have used our research since 2012.

DataRPM is ranked 7th in Anomaly Detection Tools while InsightSquared is ranked 9th in Predictive Sales Intelligence. DataRPM is rated 0.0, while InsightSquared is rated 0.0. On the other hand, DataRPM is most compared with , whereas InsightSquared is most compared with .

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.