Gartner® Magic Quadrant™ for Analytics and BI Platforms Embedded analytics built for SaaS companies
Embed metrics, insights, and AI capabilities into your software and deliver exceptional user experiences.
Enhance your software products with end-to-end, AI-assisted analytics
Deliver high-performance, fully embedded analytics, designed to scale with your SaaS product and meet your customers’ unique needs.
Integrate advanced analytics anywhere
- Embed dashboards, insights, and AI capabilities into applications or web portals.
- Integrate self-service analytics seamlessly within end-user workflows.
- Utilize React SDK, Web Components, or iFrame embedding methods to suit your exact needs.
Apply software development best practices
- Build analytics through code, and automate deployment, testing, and other manual tasks.
- Create analytics environments faster than ever before with APIs, SDKs, and blueprints.
- Promote effective collaboration by combining no-code, low-code, and full-code approaches.
Scale with multitenancy
- Scale your analytics to smoothly manage growing data volumes, users, and customers.
- Deliver tailored analytics solutions for teams, partners, and customers from one central hub.
- Enable users to customize their workspace while ensuring they only access their designated data.
Leverage any data, any cloud, any use case
- Integrate with any data source and manage spend with efficient in-memory caching.
- Deploy in any environment — public cloud, private cloud, or on-premises.
- Connect with open APIs and declarative SDKs for custom integrations.
Nachi Mehta
CEO & Co-founder
“GoodData’s metrics layer enables us to push business logic into the platform and in turn lets our end users customize things on their own without any manual intervention from us.”
Nachi Mehta
CEO & Co-founder
Josh Hill
Chief Technical Officer
“By increasing accountability, we’re showing superintendents and subcontractors their work needn’t involve pulling their hair out. Instead of asking, “Did I send this?” ”Did I call that guy?” ”Does this guy remember this?” We put all this information in one place, improving efficiency and collaboration.”
Josh Hill
Chief Technical Officer
Brian Backer
Senior Director of Analytics at LiveVox
“Measuring and managing contact center performance is now embedded in our product and provides a much better experience for clients looking to make data-driven decisions in the day-to-day management of their contact centers.”
Brian Backer
Senior Director of Analytics at LiveVox
Craig Kelly
VP of Analytics at Syntax
“We were looking for an innovation partner that could be a one-stop-shop and provide all the components that we needed. GoodData, with its ability to constantly add to and integrate new data sources into a subscription-based revenue model, was a good match.”
Craig Kelly
VP of Analytics at Syntax
40%
Saving over traditional BI
98%
Customer satisfaction
40%
Saving over traditional BI
98%
Customer satisfaction
Ondrej Langr
CPO at Sharry
“Being an embedded analytics tool by design, the pricing model and security assurance were some of the things we most liked about GoodData. Pricing per workspace perfectly fits our client-oriented use case, while the data is clearly separated — ensuring the privacy and security of each client’s data.”
Ondrej Langr
CPO at Sharry
Dive deep into our success stories
Customize and white label your analytics
Transform your analytics into a seamless extension of your brand with customizable options that match your unique look and feel.
Create a branded analytics experience
- Style dashboards with your brand's color palettes, fonts, and logos for a cohesive, white-labeled experience.
- Personalize the interface, including visualizations and language, to meet user expectations.
- Use the GoodData.UI React SDK to customize CSS, time zones, and more.
Discuss your use case with us
See how GoodData can help with your analytics goals.
- Discuss your specific business needs.
- Get a customized platform demo.
- Q&A about how to implement GoodData.
Why choose our analytics platform?
- Intuitive platform with modern dashboards, predictive analytics, forecasting, AI assistant, and more.
- Powerful automation of analytic workflows including entire data pipelines with analytics as code.
- Accelerated performance, data federation, smart data warehouse cost management.
- Multiple deployment options: any public, private cloud, or on-premise.
A trusted platform, loved by users
Common SaaS analytics questions
What are the essential features of SaaS analytics tools?
SaaS analytics tools are built to manage and analyze large volumes of data in real-time, offering key features like multi-tenancy, scalability, customizable dashboards, self-service analytics, and predictive insights. These tools help SaaS businesses gain actionable insights into user behavior, monitor KPIs, and adapt their services based on data-driven decisions, all while ensuring data security and accessibility across tenants.
How do I select the best business analytics software vendor?
When choosing a business analytics software vendor, consider factors such as scalability, integration capabilities, data security, and support for multi-tenancy. Look for vendors who offer customization options to align analytics with your unique business needs and provide comprehensive support. Additionally, assess the vendor's track record, customer reviews, and ability to offer real-time insights and predictive analytics to drive growth and efficiency.
What are the advantages of a BI tool designed for SaaS companies?
A BI tool specifically tailored for SaaS companies offers advantages like multi-tenant support, scalability to handle growing data needs, and embedded analytics capabilities. It enables SaaS companies to offer their customers valuable insights while also gaining deep operational understanding themselves. SaaS-specific BI tools also streamline data-driven decision-making and provide flexibility in creating custom dashboards and reports, enhancing the user experience and supporting growth.
How does marketing analytics benefit SaaS companies?
Marketing analytics for SaaS companies provides insights into customer acquisition, retention, and engagement metrics. By analyzing data on campaigns, user behavior, and funnel performance, SaaS companies can optimize marketing strategies, target high-value customer segments, and improve overall ROI. This data-driven approach enables better allocation of marketing resources and enhances customer lifetime value.
How can software companies utilize predictive analytics effectively?
Software companies can leverage predictive analytics to forecast customer behavior, anticipate market trends, and identify potential churn risks. By using historical data and machine learning models, they can make proactive decisions to improve user engagement, optimize product features, and create targeted marketing campaigns. Predictive analytics also enables software companies to refine their pricing models and resource allocation, contributing to overall growth and customer satisfaction.
Try GoodData yourself
See how GoodData can help with your analytics goals
