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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.

What is IBM Digital Analytics?

As companies aim to harness the power of artificial intelligence, it becomes imperative for them to collect data from diverse sources, employ advanced tools and frameworks, and deploy models across different operational environments. However, according to IDC, one-third of executives' time is primarily spent on the challenges of data integration and preparation for AI initiatives. To bolster business continuity and resilience during times of uncertainty and disruption, it is vital to streamline and automate the processes of data gathering, organization, and analysis, thereby embedding AI more thoroughly within the organization. Moreover, AI-driven search and text analytics utilize natural language processing to tailor themselves to the specific language and terminology relevant to your industry. This AI-focused governance, risk, and compliance approach enables the management of risk and regulatory compliance with enhanced efficiency and effectiveness, ultimately contributing to a more robust operational foundation. Implementing these strategies not only enhances a company's AI capabilities but also equips them to excel in a rapidly changing market environment. Furthermore, fostering a culture that embraces AI can lead to innovative solutions and improved decision-making across all levels of the organization.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake

Integrations Supported

API Availability

API Availability

Pricing Information

$49/mo per seat
All plans include unlimited MTUs, unlimited Events and Data
- Growth (Starting at $49/mo per seat)
- Enterprise (Contact us)
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

NetSpring

Date Founded

2019

Company Location

United States

Company Website

www.netspring.io

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics

Categories and Features

Digital Analytics

Not specified

Mobile App Analytics

Channel Attribution
Cohort Analysis
Funnel Analysis
Push Notifications

Product Analytics

Attribution
Churn Reporting
Customer Journey Analytics
Data History Retention
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

Web Analytics

Form Analytics

Categories and Features

Digital Analytics

Not specified

Text Analytics

Not specified

Web Analytics

Not specified

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