TrustRadius: an HG Insights company

GoodData

Score8.5 out of 10

221 Reviews and Ratings

What is GoodData?

GoodData is an analytics platform used by organizations to deliver real-time, governed insights, embedded into products, customized for users, and integrated into any data environment.


At the heart of GoodData is a universal semantic layer: a shared, code-defined model that maps raw data into consistent business concepts, metrics, and logic. Metrics are authored once and reused across every dashboard, app, or API, to ensure accuracy, governance, and trust wherever analytics are consumed.


The platform supports the analytics lifecycle from data integration and modeling to visualization and AI-powered insights, all accessible via APIs, SDKs, or a no-code interface. Its architecture supports deployment in any environment, including public or private cloud, on-premises, or hybrid.


The vendor boasts 3.2 million users among over 140,000 global businesses, who rely on GoodData to unify their analytics ecosystems, accelerate innovation, and unlock value from their data.

Media

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Top Performing Features

  • Customizable dashboards

    Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

    Category average: 8.4

  • Multi-User Support (named login)

    Named model access means that users have access based on name and password.

    Category average: 8.1

  • REST API

    REST is an architecture style for designing networked applications

    Category average: 7.4

Areas for Improvement

  • Formatting capabilities

    Ability to format output e.g. conditional formatting, lines, headers, footers.

    Category average: 7.2

  • Location Analytics / Geographic Visualization

    Location analytics is the visualization of geographical or spatial data.

    Category average: 7.2

  • Predictive Analytics

    Predictive Analytics is the ability to build forecasting models based on existing data sets.

    Category average: 6.8

GoodData review

Use Cases and Deployment Scope

We embed custom GoodData dashboards and a UI to build custom reports into our product. Pre-built dashboard cover about 80% of customer needs. The custom report builder covers the rest. Data is sent each night to GoodData, processed and available to the customer the following morning. UI allows customers to schedule emails so they get the reports in their inbox at regular intervals.

Pros

  • Embedded reports - users don't sign in, the reports are seamlessly a part of our offering.
  • Customizable reports - huge flexibility with an easy learning curve.
  • Knowledgeable support - our support rep knows our data better than we do. When a bad data point comes in, he spots and fixes it before we know it is a problem.

Cons

  • Per customer 3rd party data. It is challenging to pull in extra data for an individual customer via automated process.
  • Version confusion. We integrated with an older version, wish we were using the cloud version now offered as it gets new updates, but migration to it will be a process.
  • Cost.

Return on Investment

  • Up front development time took a while, but since then we have been hands off and the product runs fine.
  • Customers that ask for features, are often happy to learn we can solve their need in a custom Insight.
  • Customers now speak highly of our reporting feature compared to our previous offering.

Usability

GoodData Review

Use Cases and Deployment Scope

Our company is using it to provide additional reporting options and features and functionality to our clients.

Pros

  • User permissions
  • Automation of reporting
  • Flexibility

Cons

  • The nuances of the set up can get a little difficult to navigate
  • Not knowing where client responsibility ends and GoodData help is required.
  • Charging for time to assist with navigating the product can be a little off putting to new clients we are looking to expand to. It makes them feel like they cannot ask questions.

Return on Investment

  • Allows for us to check boxes on rfp's for ad hoc reporting

Usability

Other Software Used

Jira Service Management, Balsamiq

GoodData Your go-to BI Solution

Use Cases and Deployment Scope

I work with [...] team and we use GoodData as our BI partner. This collaboration has been for several years now. We push the contact centre metrics to GoodData and our customers use this to optimize their contact centre operations. We have several highly valued customers which rely heavily on GoodData.

Pros

  • Ability to create custom metrics
  • The UI is very easy to use with drag and drop
  • Useful UI to onboard anyone easily

Cons

  • Introduction of AI capabilities
  • Easier migration to GoodData Cloud

Return on Investment

  • Enhances our Contact Centre portfolio and makes our product usable by customers of all scale
  • High latency has led to some customer dissatisfaction but has improved a great way over the last year.

Usability

GoodData - good value for money but, in my opinion, not the best tool on the market

Use Cases and Deployment Scope

We use GoodData to connect and visualise various data sets. We have several dashboards for different services, overview dashboards etc. The usage is wide across all the functions (data analysts, marketers, sales reps, managers, ). We use GoodData with an ETL tool Keboola because they have a goood integration and it's quite easy to load data from Keboola to GoodData.

Pros

  • Telemetry
  • Dashboard organization

Cons

  • Metrics have to be always created, there's no default like SUM(metric)
  • Speed
  • Documentation

Return on Investment

  • ROI monitoring and improvement
  • CLV monitoring and improvement

Usability

Alternatives Considered

Microsoft Power BI, Tableau Server and Looker Studio

Other Software Used

Tableau Server, Looker Studio

GoodData for embedded analytics

Use Cases and Deployment Scope

We use GoodData to embed analytics in our platform to deliver actionable insights for our customers.

Pros

  • It is very flexible, and allows us to simplify complex SQL through the use of metrics
  • Security is built-in to the platform through the use of Workspaces
  • Analytics as code allows us to develop as a software team

Cons

  • More join types in the data modelling
  • Being able to coalesce values in the data model, without converting to a SQL model

Return on Investment

  • As a data team we can now develop reports for customers a lot faster and more independence on external teams saving their effort.
  • Our customers have more in depth insights, that provide a more complete view of the platform

Usability