AI TOOL PROFILE
GoodData Review: AI-Enabled Analytics and Reporting
- Data and Analytics
- Analytics and Reporting
- Software companies
- Enterprise organizations
- SaaS platform developers
- B2B data product managers
Pricing
GoodData offers Professional pricing based on a platform fee plus the number of workspaces, and custom pricing for Enterprise. A 30-day trial is available.
At a glance
- Best for
- Software companies, Enterprise organizations, SaaS platform developers, B2B data product managers
- Key use cases
- Application Data Monetization, Customer Service Optimization, BI Modernization, Enterprise Reporting
- Integrations
- Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Snowflake
- Official website
- Visit GoodData official website
How AI is used
GoodData is an analytics platform designed for companies that integrate data intelligence into their own applications or manage enterprise reporting. It focuses on embedded analytics and agentic AI, allowing businesses to build AI assistants and automated workflows that interact with their data.
The software is designed for software companies and organizations across various sectors, including healthcare, finance, and e-commerce. It supports data connectivity to various warehouses such as Snowflake and BigQuery.
Buyers can use the platform to update their BI stacks or create data products for their own customers. The tool offers a managed cloud service and self-hosted options, which may support organizations with specific data residency or regulatory requirements.
Buyers should confirm whether they require a simple internal reporting tool or a complex embedding platform, as the Professional and Enterprise plans differ in AI capabilities and support levels.
Key Features
Embedded Analytics
Supports the integration of dashboards and visualizations into user interfaces via iFrames, Web Components, and APIs.
Agentic Analytics
Supports the creation of AI assistants and agent libraries to automate insights and execute data-driven tasks.
Governed Semantic Layer
Provides a central location to define business logic and metrics to help maintain consistency across reports and AI agents.
Analytics as Code
Provides a developer-focused approach to managing analytics pipelines and metadata through code.
Multi-tenant Workspaces
Uses hierarchical workspaces to isolate data and permissions for different customers, departments, or partners.
Data Connectivity
Connects to sources including Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Snowflake, and PostgreSQL.
Use Cases
Application Data Monetization
Embedding analytics into a SaaS product to offer data-driven insights as a feature to B2B customers.
Customer Service Optimization
Tracking call center response times and resolution rates to identify operational inefficiencies.
BI Modernization
Moving from legacy business intelligence tools to a stack that supports natural language querying.
Enterprise Reporting
Creating scalable, governed reports across various global departments with shared business logic.
Integrations
- Amazon Redshift
- Azure SQL
- Databricks
- Google BigQuery
- Snowflake
- PostgreSQL
- Microsoft SQL Server
- MySQL
- Oracle
- GitHub
- GitLab
- Azure DevOps
FAQ
What is the difference between GoodData's Professional and Enterprise plans?
- The Professional plan uses per-workspace pricing and provides standard community support. The Enterprise plan offers custom pricing, a dedicated customer success manager, 24/7 prioritized SLAs, and expanded AI Agent Builder and AI Lake capabilities.
Does GoodData support self-hosting?
- Yes, GoodData offers a self-hosted deployment option for organizations that require enhanced security, governance, or specific data residency compliance.
What are GoodData's embedding options?
- GoodData supports embedding via iFrames, Web Components, and APIs, and provides React and Python SDKs for building custom user interfaces.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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