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What is rakam?

Rakam provides customized reporting solutions for diverse teams, ensuring that no group is limited to a single user interface. It effortlessly translates queries made within its interface into SQL commands, making it easier for end-users to interact with the data. Notably, Rakam does not move any data into your data warehouse; it works on the premise that all essential information is already present there, facilitating direct analysis from the warehouse, which serves as your ultimate source of truth. For additional information on this topic, be sure to explore our blog post. Furthermore, Rakam integrates with dbt core, acting as the data modeling layer without executing your dbt transformations. Instead, it links to your GIT repository to keep your dbt models updated automatically. In addition, Rakam can create incremental dbt models, boosting query efficiency while reducing database expenses. By specifying aggregates within your dbt resource files, Rakam efficiently generates roll-up models, which streamlines the process for users and promotes effective data management. This efficient approach enables teams to concentrate on deriving insights rather than getting bogged down by the technical complexities of data analysis, ultimately enhancing productivity.

What is Revenera Usage Intelligence?

Utilizing Product Usage Analytics can lead to more informed and rapid strategic decisions, particularly when it comes to roadmap planning. Usage Intelligence, previously known as Revulytics, empowers organizations to improve their decision-making processes, whether they are introducing new features or refining the current functionality of their products. By examining real product usage metrics, businesses can gain valuable insights into how users interact with and engage with their software. Furthermore, analyzing your install base allows for the development of a data-driven strategy that informs decisions about pricing models, adjustments, and even the discontinuation of certain features. This type of analytics not only enhances product management strategies but also enables development teams to leverage technical and environmental data for a clearer understanding of infrastructure needs and support requirements. As the pioneering solution in software usage analytics, Usage Intelligence offers comprehensive insights into application utilization by revealing which features are utilized the most frequently, thus guiding future development efforts. Ultimately, harnessing these insights can significantly enhance a company's ability to adapt and respond to user needs effectively.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$25 per user per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rakam

Date Founded

2016

Company Location

United States

Company Website

rakam.io

Company Facts

Organization Name

Revenera

Date Founded

2006

Company Location

United States

Company Website

www.revenera.com

Categories and 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

Categories and Features

Application Lifecycle Management

Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

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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