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What is SAS Web Analytics Solution?
SAS Web Analytics is tailored to gather, cleanse, and organize large volumes of raw data generated from your website while effortlessly integrating it with offline data sources. This platform not only provides a thorough analysis of web data but also showcases this information through a versatile reporting system equipped with user-friendly, interactive tools. By leveraging SAS Web Analytics, businesses can derive essential insights that empower them to take charge of their data. Users have the ability to create reports that are customized to meet the specific requirements of their organization, moving beyond generic industry benchmarks. Furthermore, SAS's sophisticated analytics go beyond mere reporting by forecasting future trends and customer behaviors, which helps refine marketing strategies and optimize budget allocation. Numerous organizations across different industries face the challenge of turning the extensive data collected from their web channels into actionable insights. To facilitate informed business decisions, it is crucial to effectively convert the diverse and substantial raw web data into valuable knowledge, thus enhancing decision-making processes. In conclusion, utilizing this robust tool can dramatically boost your organization's performance and enhance its competitiveness in the marketplace, allowing for greater adaptability in an ever-evolving business landscape.
What is NetSpring?
To achieve a thorough understanding of customer journeys and enhance attribution while gaining valuable cross-functional business insights, event data is frequently duplicated and transferred from product analytics platforms to data warehouses. This practice leads to discrepancies between the two systems: the isolated product analytics tools and the SQL/BI applications operating on the data warehouse. Compounding this issue, many BI tools are not optimized for analyzing event data effectively.
NetSpring addresses these challenges by providing a unified self-service solution for product analytics that features BI-style ad hoc visual exploration, directly utilizing the data warehouse as the definitive source of information.
Key Advantages:
- GTM Teams: Access self-serve solutions to address pressing business inquiries without concerns over data accessibility.
- Data & Analytics Teams: Enhance support for GTM teams with regulated self-service tools.
- C-Suite: Utilize the data warehouse as the authoritative source for consistent outcomes, mitigating issues related to data duplication, reverse ETL, and security.
Key Features:
- Self-Service: A comprehensive library of behavioral analytics templates is available for users.
- Analytical Power of BI: Enables users to engage in self-driven ad hoc visual exploration of data.
- Warehouse-Native: Maintains rich business context while eliminating data duplication and enhancing accuracy, ensuring that insights are both reliable and actionable.
Integrations Supported
Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Snowflake
Integrations Supported
Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Snowflake
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$49/mo per seat
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
SAS Institute
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/content/dam/SAS/en_us/doc/factsheet/sas-web-analytics-101790.pdf
Company Facts
Organization Name
NetSpring
Date Founded
2019
Company Location
United States
Company Website
www.netspring.io
Categories and Features
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
Categories and 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