GoodData.AI primarily serves organizations seeking to embed analytical capabilities and enhance data visualization within their existing platforms and for comprehensive internal/external reporting. A significant 45% of reviewers leverage it for embedded analytics, offering customized dashboards to their customers, while another 45% highlight its role in connecting diverse datasets for effective visualization and reporting. The platform excels in robust data handling, particularly its flexible data modeling and structured approach, which 27% of users commend, alongside its highly customizable and user-friendly interface, also noted by 27%. This foundation contributes to a substantial positive impact on business objectives, with 45% of reviewers reporting significantly enhanced speed in reporting and insights, and 36% citing its utility in monitoring key business metrics like ROI and CLV.
However, areas for improvement include administrative ease and documentation, identified by 27% of reviewers as complex. Limitations in data visualization options and character display within tabular charts are also a concern for 27% of users, alongside performance and speed issues, particularly with large datasets and older product versions, which another 27% raised. The process of creating metrics was found cumbersome by 18% of reviewers, and the effectiveness of AI features received mixed feedback from 18%.
Implementation timelines vary widely, from a few weeks to two years, largely dependent on project complexity and the extensive effort required for logical data modeling and metric creation. Despite these challenges, the platform's strong logical data modeling features are foundational for effective self-service BI, enabling straightforward creation of insights and dashboards, and general ease of navigation for end-users, each highlighted by 27% of reviewers. GoodData is often evaluated against competitors like Microsoft Power BI (55% of reviewers), Looker (36%), and Tableau (27%), indicating a competitive landscape where specific feature sets and user experiences are key differentiators.
Pros
Flexible and robust data modeling capabilities
High customizability and user-friendly platform
Enhanced speed in reporting and insights delivery
Ability to embed analytics directly into applications
Knowledgeable and responsive customer support
Cons
Complexity of documentation and administrative processes
Limitations in data visualization options and tabular chart display
Performance and speed issues with large datasets or older versions
Cumbersome process for creating metrics
Mixed effectiveness of AI features
Implementation Timeline
7 mentions
Why it matters:
Reviewers reported a highly variable implementation timeline, ranging from as little as 4-6 weeks to as long as two years, with 7 of 11 reviewers providing specific timeframes. Factors such as the complexity of the implementation and the need for extensive data preparation appear to influence these durations. However, some found that professional services or detailed documentation could significantly shorten the process for complex projects or subsequent enhancements.
“With the help of the professional services team, we were able to finish a complex implementation in under 6 months. Originally, we estimated it would take much longer.”
Microsoft Power BI
6 mentions
Why it matters:
Microsoft Power BI is the most frequently mentioned alternative, cited by 6 of 11 reviewers. Its evaluation alongside GoodData suggests it is a prominent option in the business intelligence market. Reviewers' experiences with Power BI are categorized as mixed, indicating a varied perception of its strengths and weaknesses as an alternative.
“Microsoft Power BI”
Reporting and Insights Speed
5 mentions
Positive reviews by 100% of reviewers
Why it matters:
Reviewers frequently commend GoodData for significantly accelerating the process of generating reports and insights, with 5 of 11 reviewers noting this benefit. This speed allows data teams to develop customer-facing reports much faster, reducing development time for data visualizations and streamlining data collection. This efficiency gain has been described as transforming tasks that previously took months into mere seconds.
“Our customers exclaimed "You just did in 15 seconds what took me and my team 3 months to do … and I trust your data more than what we did."”
What other products like GoodData have you used or evaluated?
From 11 reviews
Summary
Reviewers frequently evaluate alternative business intelligence and data visualization platforms when considering solutions similar to GoodData. The analysis of 11 reviews indicates that Microsoft Power BI is the most commonly cited alternative, mentioned by 6 of 11 reviewers. Other products frequently evaluated include Looker, which 4 of 11 reviewers mentioned, and Tableau, cited by 3 of 11 reviewers. Across these alternatives, reviewer sentiment is consistently categorized as mixed, suggesting that while these tools are considered viable options, they also present a range of trade-offs or varied experiences among users. The frequent mention of these platforms highlights a competitive landscape where organizations often compare several established solutions before making a selection. This pattern of evaluation underscores the importance of understanding the specific features and user experiences offered by each platform in the broader market.
After purchasing GoodData, how quickly were you able to get up and running with the product? Please be as specific as possible about the implementation timeline and if applicable, describe any customization specific to your organization.
From 11 reviews
Summary
Implementation of GoodData exhibits a wide range of timelines, with 7 of 11 reviewers reporting periods from a few weeks to two years, often influenced by project complexity. While initial database connection can be rapid, the subsequent data modeling and metric creation processes are frequently cited as time-consuming elements. Four of 11 reviewers specifically highlighted the complexity of data modeling, noting the extensive effort required for defining logical data models and creating numerous reporting tables. Despite these challenges, professional services and detailed documentation are noted as factors that can accelerate the overall process. The learning curve, mentioned by 3 of 11 reviewers, was generally manageable for engineering teams, though it involved initial discovery and onboarding phases. This suggests that while core setup can be quick, the depth of customization and data integration significantly impacts the overall time to full operational status.
“With the help of the professional services team, we were able to finish a complex implementation in under 6 months. Originally, we estimated it would take much longer.”
Data Modeling Complexity
“Starting with one dataset is quite easy but it is time consuming because of all the metrics you have to create.”
Learning Curve
“This involved the early discovery with GoodData product, followed by proof of concept and some sessions to get onboarded with a trial account.”
Please describe your experience with using GoodData’s self-service business intelligence and analytics. Which features stand out the most or are most valuable to your role?
From 11 reviews
Summary
Reviewers of GoodData's self-service business intelligence and analytics platform frequently highlight its robust capabilities for data management and user-friendly visualization tools. A significant portion of the feedback, cited by 3 of 11 reviewers, emphasizes the platform's logical data modeling features, which are seen as foundational for effective data intelligence. This strong data foundation appears to facilitate the creation of insights and dashboards, a feature also noted by 3 of 11 reviewers as straightforward and intuitive. The platform's ease of use extends beyond creation to general navigation for end-users, with 3 of 11 reviewers specifically commending its accessibility. Furthermore, the ability to define custom and complex metrics is valued by users for enabling deeper data analysis, a point raised by 2 of 11 reviewers.
“With GoodData, all of these datasets are unified to serve as a central semantic data model layer, building into a galaxy schema with dimensions, bridge, and facts, which then forms the backbone that powers the data intelligence.”
Dashboard and Visualization Creation
“Building insights and dashboards become a much easier task once the underlying data model is designed.”
Ease of Use for Users
“The Analyzer on the GoodData Platform gives a simple, drag-drop option for analyst and engineers alike to build visuals and the dashboarding canvas is also simple to use.”
What positive or negative impact (i.e. Return on Investment or ROI) has GoodData had on your overall business objectives?
From 11 reviews
Summary
GoodData has primarily contributed positively to business objectives by significantly enhancing the speed of reporting and insights, a benefit noted by 5 of 11 reviewers. This acceleration in data visualization and report generation has substantially reduced the time required for data teams to deliver information, improving operational efficiency and fostering greater trust in the data. Furthermore, 4 of 11 reviewers indicated that GoodData directly supports the monitoring and improvement of key business metrics such as Return on Investment (ROI) and Customer Lifetime Value (CLV), facilitating data-driven decision-making. The platform's ability to provide more in-depth insights has also led to increased customer satisfaction with reporting features, a point highlighted by 2 of 11 reviewers. However, some concerns were raised regarding scalability, with 2 of 11 reviewers experiencing issues with the product's performance for larger clients and high latency, although one reviewer noted recent improvements in this area. Overall, the evidence suggests a net positive impact on operational efficiency and strategic monitoring, tempered by specific challenges in handling large-scale data environments.
“Our customers exclaimed "You just did in 15 seconds what took me and my team 3 months to do … and I trust your data more than what we did."”
Business Objective Monitoring
“ROI monitoring and improvement”
Scalability Issues
“Negative - their product does not scale well for large clients”
Besides GoodData, what other software do you regularly use? How likely would you be to recommend it to a friend or colleague?
From 11 reviews
Summary
Reviewers frequently utilize a range of complementary software tools alongside GoodData, primarily focusing on data transformation, business intelligence, and general data manipulation. Data transformation tools, such as dbt and Snowflake, were mentioned by 2 of 11 reviewers, indicating their role in preparing data for analysis. Similarly, business intelligence platforms like Tableau Server and Looker Studio were also cited by 2 of 11 reviewers, suggesting a common need for advanced visualization and reporting capabilities. Additionally, general-purpose spreadsheet software, specifically Microsoft Excel, was noted by 2 of 11 reviewers for its continued relevance in data handling workflows. The consistent positive sentiment across all mentioned categories suggests that these tools are valued by users for their respective functionalities, enhancing their overall data analytics ecosystem.
“ChatGPT, Microsoft Visual Studio Code, Microsoft Excel”
Describe how you use GoodData in your organization. What are the business problems the product addresses and what is the scope of your use case?
From 11 reviews
Summary
Organizations primarily leverage GoodData for embedding analytical capabilities directly into their existing platforms and for comprehensive data visualization and reporting. A significant portion of reviewers, 5 out of 11, highlight the product's utility in providing embedded analytics, allowing them to offer customized dashboards and reporting features to their own customers within their core applications. Concurrently, 5 of 11 reviewers also emphasize GoodData's role in connecting diverse datasets and visualizing them effectively, facilitating internal and external reporting across companies. These capabilities collectively enable users to derive actionable insights from their data, a benefit cited by 3 out of 11 reviewers, ultimately supporting optimized operations and informed decision-making. Furthermore, the platform's ability to integrate with various data streams and ETL tools, noted by 2 of 11 reviewers, underpins its effectiveness in consolidating information for these analytical and reporting functions, particularly within complex regulatory and quality management domains.
“We embed custom GoodData dashboards and a UI to build custom reports into our product.”
Data Visualization and Reporting
“We use GoodData to connect and visualise various data sets.”
Actionable Insights
“This solution involves building key dashboards that provides insights into the world of regulatory affairs that are actionable for our customers.”
Please provide some detailed examples of areas where GoodData has room for improvement.
From 11 reviews
Summary
Reviewers identified several areas where GoodData could enhance its platform, primarily focusing on aspects related to administrative ease, data handling capabilities, and performance. A notable concern, mentioned by 3 of 11 reviewers, involves the complexity of documentation and the administrative processes, suggesting a need for clearer guidance. Similarly, 3 of 11 reviewers pointed to limitations in data visualization options and character display within tabular charts, indicating a desire for more robust visual tools. Performance and speed, particularly when dealing with large datasets and debugging older product versions, were also raised as areas for improvement by 3 of 11 reviewers. Furthermore, specific feature enhancements were suggested, with 2 of 11 reviewers noting mixed effectiveness of the AI features and another 2 of 11 reviewers finding the process of creating metrics cumbersome.
“GoodData Platform's documentation though well-written sometimes lack some of the key information which could make the overall admin process a little too complex to implement.”
Data Visualization Limitations
“There is a data limitation on the GoodData Platform wherein the maximum allowed characters that can be displayed on a tabular chart for a text field is 10000 characters.”
Performance and Speed
“GoodData's ADD load for the older product i.e. Platform has some limitations like error logging and debugging is cryptic.”
Please provide some detailed examples of things that GoodData does particularly well.
From 11 reviews
Summary
GoodData is primarily recognized for its robust data handling capabilities, particularly its flexible data modeling and structured approach, which 27% of reviewers highlighted. This foundation supports a highly customizable and easy-to-use platform, also noted by 27% of reviewers, enabling users to adapt the system to specific needs without extensive coding. The platform's commitment to modern development practices is evident through features like "Analytics as Code," a capability appreciated by 18% of the review sample for enabling a code-first approach to analytics. Furthermore, a smaller segment of users, 18% of the sample, commended the personalized and knowledgeable support provided by GoodData, suggesting a strong customer service component. These aspects collectively indicate that GoodData excels in providing a powerful, adaptable, and user-friendly analytics solution, backed by responsive support.
“With GoodData, all of these datasets are unified to serve as a central semantic data model layer, building into a galaxy schema with dimensions, bridge, and facts, which then forms the backbone that powers the [...] data intelligence cloud.”
Ease of Use and Navigation
“easy to navigate existing dashbords”
Customization and Flexibility
“Customizable reports - huge flexibility with an easy learning curve.”
We use GoodData for creating and sharing reports across company. We have several projects with multiple dashboards covering several departments and services. In marketing, we have a data model in GoodData that connects around a hundred of tables. GoodData is being used by data analysts, specialist, HR, managers and C-level positions in our company.
It adreesses our BI needs
Pros
support
easy to navigate existing dashbords
Cons
cumbersome to create metrics
limited variety of available visualisations
Likelihood to Recommend
GoodData has a very good support so you can get answers to your problems within the same day. They can help you to re-create dashboards in case of unwanted deletion. It's not very easy to learn how to work GoodData and it's not because it provides many options like other BI tools, it's just chaotic. However, the cost to value ratio is good.
Used to allow customer visualizations embedded within our main platform. This means all data analytics can be viewed in a single place and consistency across customers is easy.
Removed the need for developers to re-create analytics dashboards, so data science can create analytics and developers can work on developing core functionality not copying work between platforms.
Pros
Nice range of visuals
Easy to apply consistent branding
Allows maps visuals to be used effectively
Cons
Quite inflexible when you want to create custom dimensions or ranges
LDM can be difficult to work with once many data sources are introduced (circular references etc)
Likelihood to Recommend
Good for creating quick visuals and dashboards that are simple and don't require complex or on the go calculations. Less suited to more custom work or dashboards requiring flexible filtering.
VU
Verified User
Analyst in Professional Services (51-200 employees)
In my business, GoodData plays a crucial role in collecting and analyzing vast and complex data sets, necessitating the use of a third-party provider that allows our team to manage them freely and consistently. GoodData also plays a vital role in visualizing compelling and clear data, making it easy for users to understand and analyze.
Big Data and visualization Indicator
Pros
Big data management
Visualization Data
Data filter
Loading Speed
Cons
more types of data visualization
speed in displaying large data
attractive interface
Likelihood to Recommend
A very user-friendly interface with a drag-and-drop system. The database is structured and easy to understand.The speed of data display can be adjusted with metrics and filters, which users can set simultaneously without waiting for the update process. Some adjustments are needed to display data that is too large and difficult to navigate using filters.
VU
Verified User
Analyst in Information Technology (1-10 employees)
Our organization wizehive uses GoodData for analytics and we love how easy it is to create visualizaions and graphs. GoodData really helps in analysing the data efficiently. The new ai integration is also a great feature to use. Just give a promt about what you want to see and it gives good results also recommends the graphs or charts to view. Happy to use GoodData.
It solves a our clients problems by aggregating whole data at a single place and analyse it efficiently.
Pros
Well structured
Organised
Useful insights
Cons
It still lacks behind with it's new ai feature. Sometimes works great and sometimes less useful responses.
Likelihood to Recommend
Well our product is all about award and grant. Our client wants to see aggregated data at a single place. Gooddata really helps there. When customers wants to see the amount they have awarded or number of applicants in their program who hasn't submitted yet. These are some few examples.
At [...], we are using GoodData Platform to build Embedded Analytics solution which is integrated deep into [...]'s core platform to provide regulatory intelligence, vendor quality intelligence and inspection intelligence for Pharma, pre-market and post-market intelligence in MedTech. This solution involves building key dashboards that provides insights into the world of regulatory affairs that are actionable for our customers. The analytics solution is built on top of a semantic data model that unifies compliance data streams, is well integrated with key objects in the regulatory and quality life-sciences domain, and provides inspection trends and tracks supplier quality risk. Customers at leading Pharma and MedTech companies use these insights and data intelligence to champion quality of their products and ensure safety and compliance.
The key business problems which GoodData address for us at [...], is really being able to tap onto the unified semantic data model and get data intelligence and visual insights that help our customers prepare for inspections in a fraction of the time, identify supplier risks earlier, and reduce deviations that lead to costly findings.
Pros
The source datasets are often complex, semi-structured and un-linked to key entities. With GoodData, all of these datasets are unified to serve as a central semantic data model layer, building into a galaxy schema with dimensions, bridge, and facts, which then forms the backbone that powers the [...] data intelligence cloud. Building insights and dashboards become a much easier task once the underlying data model is designed. GoodData enforces certain best practices as a BI tool, which must be adhered to get the true value of the raw data. For e.g. the source FDA dashboard may just show inspection data but the Site Profile dashboard built on GoodData goes beyond the standard information and shows more insight into site risk scores and can be drilled into details. There is blog written on this topic: [...].
GoodData provides a rich collection of visualization options that help us create compelling story-telling via dashboards. Being well-prepared for FDA inspections is essential for maintaining product quality, regulatory compliance, and avoiding serious business setbacks. FDA inspections are critical events that can shape a company’s market access and reputation. The FDA itself offers the FDA Data Dashboard, but it doesn’t make every document available. There is a blog written on this topic: [...].
Medical devices and technologies do not stop evolving after they receive regulatory approval. Once a product hits the market, it faces real-world usage, compliance challenges, and an array of regulatory scrutiny. Managing these postmarket dynamics is critical to a product’s long-term success and patient safety. However, many companies struggle to keep track of relevant events across a product’s markets, from adverse event reports to changing regulations. Postmarket Intelligence developed on GoodData platform enables us to solve that problem. It empowers MedTech companies to efficiently monitor, assess, and act on postmarket data—saving time, improving decision-making, and ensuring compliance with industry standards. Anyone who is used to trying to get the data they need from the various FDA, and other regulatory agency websites, knows that collecting, cleaning, and structuring that data takes hours. And that’s before any analysis can get done. We enable customers to free up time to focus only on the high-value analysis and subsequent recommendations to leadership, rather than wrangling the data.
The data pipeline refresh that is provided by GoodData Platform is also quite useful from data engineering perspective. The Automated Data Distribution v2 or commonly called as ADD refresh follows a set pattern of identifying the analytical data model through output stage which helps abstract the complex table definition to simpler views that can help with quick rebuild at the data warehouse level while loading the data into GoodData's ADS storage layer. The import first way of loading data into GoodData's cloud storage, followed by querying for any aggregations or metrics on the GoodData analyzer, makes this simple and fast.
GoodData's latest product i.e. Cloud also offers several good features like Analytics as Code which helps software engineering teams follow a code-first approach to analytics, where building insights, dashboards or even datasets can be done in YAML templates or serviced by REST APIs. This is particularly forward thinking in the modern technology stack and evolving industry requirements. These provide seamless integration options to front-end and backend code, embedded analytics with multiple choices from HTML to React based workloads. At [...], we are currently exploring most of these features while planning for a future migration from Platform to Cloud.
Cons
GoodData's ADD load for the older product i.e. Platform has some limitations like error logging and debugging is cryptic. If orchestrated via any external tooling like Airflow or Prefect, the REST API based ADD loads sometime fails with HTTP 429 errors indicating as-if there are too many requests but in reality, it is sometimes due to GoodData server busy responding about the outcome of the past execution.
GoodData Platform's documentation though well-written sometimes lack some of the key information which could make the overall admin process a little too complex to implement. I have encountered issues trying to delete or provision workspaces, where each workspace gets tied to the parent-child hierarchy based segments and that makes the admin process operationally challenging.
There is a data limitation on the GoodData Platform wherein the maximum allowed characters that can be displayed on a tabular chart for a text field is 10000 characters. At [...], we work with lot of regulatory documents that are often 200+ pages long in their content. We summarize the content of such documents and enrich with our proprietary labels, before finally sharing with customers via dashboards. However, the limitation of characters to default 500 often requires us to ALTER DATATYPE using MAQL to be able to move up to 10000 characters to workaround. At times, even 10000 characters get trimmed and often do not get displayed on mouse-hover. Thus it impacts the customer experience when trying to perceive the dashboard. Note, if the dashboard is downloaded in excel or csv, then and only then the full content is observed.
Likelihood to Recommend
GoodData is well suited for classic business intelligence and data analytics solution involving visually driven content using charts and graphs. It's rich collection and drillable interactions make it perfect for embedded analytics where application workflow is tied to analytics. However, GoodData may not be ideal or appropriate for such solutions that require lot of textual content to be displayed with the help of tabular visuals, particularly in regulated industries where the key is in the details. This is all tied to the platform limits that force the default layout to pre-filter.
Our company is using it to provide additional reporting options and features and functionality to our clients.
It allows for dashboarding and creating ad-hoc reports on a cloud environment with near real time data.
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.
Likelihood to Recommend
I think for complex organizations that have a ton of different reporting needs it fits very well. It allows for customization in permissions access and automation to make it seamless to users who just need the data but not necessarily to login. I think for straightforward and smaller organizations it might be a little bit of overkill for meeting their needs.
VU
Verified User
Director in Product Management (501-1000 employees)
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.
GoodData provides us a Business Intelligence service. This lets us focus on generating useful metrics but not worry about building a BI solution. This helps our customers to track their contact centre operations.
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
Likelihood to Recommend
Very easy to use UI which makes our customers of different personas to easily use it. The ability to create custom metrics helps our customers to use the solution the way they want and desire. Easy onboarding and detailed public documentation helps developers as well. API documents are also well drafted and support team is always helpful.
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.
Visualising data, daily check-ups, showing trends, visualising LTV, page visits and many other metrics.
Pros
Telemetry
Dashboard organization
Cons
Metrics have to be always created, there's no default like SUM(metric)
Speed
Documentation
Likelihood to Recommend
It's good for small projects with not that many metrics and reports. Managing huge projects can be cumbersome. However there's a very good technical support. They are always willing to help and they reply quite quickly. They even do backups and are willing to revert to a previous day version if needed.
We use GoodData to embed analytics in our platform to deliver actionable insights for our customers.
Using GoodData allows us to devlier more meaningful insights for our customers, it has shifted the effort of developing metrics, insights, and reports away from the development team and onto the Data team allowing us to be more agile and iterate more quickly.
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
Likelihood to Recommend
GoodData is well suited to teams that want to develop analytics as code, have in-built tenancy, and enable the data team to operate like a software engineering team with PRs, deploys from commit refs, etc
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.
Allow customers to build their own reports.
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.
Likelihood to Recommend
If you have consistently formatted data, that you want regular reports on, plus flexibility to let end users build their own reports, GoodData is perfect. Especially if your end users are less technical. If you want to be able to embed your reporting into your app, GoodData excels, though the start up process can be involved. If your data structure varies, it could be more challenging to integrate. It may also not be worth the integration if you have people who can already run their own SQL queries.
VU
Verified User
Professional in Customer Service (1001-5000 employees)
