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Cross-Product Analytics

Cross-Product Analytics

Summary

With the People Data Platform surfacing cross-product analytics is a relatively quick process thanks to JDBC data connectors, data intake APIs, a pre-built data model and visualizations. Product teams can self-serve their own data either within the Visier People Data Platform or even access it through BI tools like PowerBI or Tableau.

Problems to be solved
  • Product teams often struggle to gain a holistic view of user behavior and product performance across multiple systems, leading to siloed decision-making and missed opportunities for optimization.

  • Accessing and analyzing cross-product data requires significant support from data teams, resulting in delays and an inability to act on insights in real-time.

  • Integrating multiple data sources into a unified analytics platform can be complex and time-consuming, requiring custom development and ongoing maintenance.

  • Building scalable data solutions that can adapt to evolving business needs and support various analytical tools is challenging without significant upfront investment in infrastructure and resources.

Solution
  • The Visier People Data Platform simplifies the process of surfacing cross-product analytics by providing JDBC data connectors, data intake APIs, and a pre-built data model with visualizations.

  • This enables product teams to self-serve their data, either directly within the Visier platform or through popular BI tools like PowerBI and Tableau. By leveraging these features, product teams can quickly access and analyze comprehensive, cross-product insights without the need for extensive development or data team support.

  • Product teams enjoy distributed insights and helps them to make data-driven decisions faster, enhance collaboration, and drive innovation across the organization.

How it Works
  1. Development teams can integrate their application data through a variety of methods including APIs or JDBC connectors. Flat file and SFTP transfer are also available.

  2. Visier's Data Lake and intake engine process the data for events, business and system rules for transformation.

  3. The People Data Warehouse has thousands of analytic objects and includes objects for product analytics that you can customize and adjust based on your organization's needs. Here the security and access permissions for that data can be defined with Visier's pre-built security model for content, data and functionality.

  4. The Analytics Suite automatically intakes that data for visualizations, calculations and metrics for self-service use on demand.

  5. These insights can be surfaced in a variety of different ways including Vee, Visier's genAI assistant, visualizations and in your own PowerBI or Tableau instances.

Cross-Product Analytics

Solutions

Docs: Data Intake Integrations

Learn more about Visier's data intake integrations

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Docs: Pre-built People Data Model for SaaS

Learn how to build with Visier's robust People Data Model for SaaS applications

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Docs: Pre-built Security Model

Deliver your data only to those who need it with Visier's comprehensive security model

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Docs: Platform Management

See how you can manage the People Data Platform as your data or your organization changes.

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Docs: Studio

Explore how you can tailor Visier to your use case

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Docs: Analytics Suite

Details on Visier's easy self-service experience for delivering analytical insights either through pre-built content or content you can build yourself.

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