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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Integrate tailored insights into your applications, including recommendation systems, sentiment analysis, anomaly detection, and fraud prevention, while also gathering user engagement metrics that enhance value for your customers and provide your teams with product analytics. The advanced analytics offered through Qualetics’ secure, multi-tenant platform fosters a new level of collaboration, enabling both your team and customers to view, analyze, share, export, and subscribe to essential insights in real-time. Qualetics’ AIMS effectively captures multi-dimensional data points from your applications instantaneously, fueling advanced analytics and AI-driven results. Utilizing our unique page rank and error ranking algorithm, we deliver a quality index of your product, highlighting the severity of errors, their frequency, and the number of users affected. Furthermore, with Qualetics, you can assess your product’s Performance Index score, which reveals how well your application is functioning. This comprehensive approach not only enhances your application's effectiveness but also drives continuous improvement based on actionable insights.

Description

Rakam offers tailored reporting capabilities for various teams, ensuring that no group is confined to a single interface. It seamlessly converts the inquiries made in its user interface into SQL queries, simplifying the process for end-users. Importantly, Rakam does not transfer any data into your data warehouse; rather, it operates under the assumption that all necessary data is already stored within, allowing for analysis directly from the data warehouse, your definitive source of truth. For further insights on this subject, check out our blog post. Rakam also integrates with dbt core, serving as the data modeling layer but does not execute your dbt transformations. Instead, it connects to your GIT repository to automatically synchronize your dbt models. Additionally, Rakam can generate incremental dbt models, enhancing query performance and minimizing database costs. By defining aggregates in your dbt resource files, Rakam automatically creates roll-up models, simplifying the process for end-users while ensuring efficient data handling. This streamlined approach empowers teams to focus on insights rather than the technical intricacies of data analysis.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Axis LMS
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
MySQL
PostgreSQL
Presto
RudderStack
SQL Server
Segment
Snowflake
Snowplow Analytics
Tenjin

Integrations

Amazon Redshift
Axis LMS
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
MySQL
PostgreSQL
Presto
RudderStack
SQL Server
Segment
Snowflake
Snowplow Analytics
Tenjin

Pricing Details

$99 per month
Free Trial
Free Version

Pricing Details

$25 per user per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Qualetics

Country

United States

Website

qualetics.com

Vendor Details

Company Name

Rakam

Founded

2016

Country

United States

Website

rakam.io

Product Features

Product Analytics

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Product Features

Product Analytics

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

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