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Average Ratings 0 Ratings
Description
In order to get a complete view of customer/account-level journeys, understand attribution, and uncover cross-functional business insights, event data is often duplicated and exported from product analytics solutions to the data warehouse. This creates inconsistent data between two platforms: siloed product analytics solutions and SQL/BI tools running on the data warehouse. Adding to the challenge, BI tools are not even designed to explore and derive insights from event data.
NetSpring offers a single self-service tool for product analytics with BI-style ad hoc visual exploration, working directly off the data warehouse as the single source of truth.
Key Benefits:
- GTM Teams: Self-serve answers to the next business question without worrying about data availability
- Data & Analytics Teams: Support GTM teams with governed, self-service tooling
- C-Suite: Leverage the data warehouse (source of truth) for consistent results and to avoid data duplication, reverse ETL, and security issues
Key Capabilities:
- Self-Service: Rich library of behavioral analytics templates
- Analytical Power of BI: Self-guided ad hoc visual exploration
- Warehouse-Native: Rich business context with no data duplication
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
Integrations
Amazon Redshift
Google Cloud BigQuery
Snowflake
ClickHouse
Databricks Data Intelligence Platform
Firebase
Google Analytics
Google Analytics 360
MySQL
PostgreSQL
Integrations
Amazon Redshift
Google Cloud BigQuery
Snowflake
ClickHouse
Databricks Data Intelligence Platform
Firebase
Google Analytics
Google Analytics 360
MySQL
PostgreSQL
Pricing Details
$49/mo per seat
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
NetSpring
Founded
2019
Country
United States
Website
www.netspring.io
Vendor Details
Company Name
Rakam
Founded
2016
Country
United States
Website
rakam.io
Product Features
Mobile App Analytics
A/B Testing
Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Push Notifications
Retention Tracking
Revenue Tracking
Uninstall Tracking
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
Web Analytics
Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking
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