#1 most frequent
United States of America
47.5%19 installations of 40
What is GoodData.AI?
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.
Categories & Use Cases
Media
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Top Performing Features
Pattern Recognition and Data Mining
Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.
Category average: 9.3
Customizable dashboards
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
Category average: 8.6
Multi-User Support (named login)
Named model access means that users have access based on name and password.
Category average: 8.4
Areas for Improvement
Report Formatting Templates
Category average: 7.4
Predictive Analytics
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Category average: 6.9
Single Sign-On (SSO)
Allows users to use one set of login credentials to access multiple applications
Category average: 6.9
Who Buys & Uses GoodData.AI
#1 most frequent
Information
27.5%11 installations of 40
#2 most frequent
Professional, Scientific, and Technical Services
25.0%10 installations of 40
“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.”
#3 most frequent
Manufacturing
10.0%4 installations of 40
#2 most frequent
Brazil
17.5%7 installations of 40
#3 most frequent
Australia
10.0%4 installations of 40
Pros
- Robust data modeling and structuring features for unifying diverse datasets
- Intuitive drag-and-drop user interface for dashboard navigation and creation
- High degree of customization and flexibility for complex report generation
Cons
- Incomplete documentation and administrative complexity
- Limitations in data visualization types and character restrictions in charts
- Performance and speed issues when displaying large datasets
How To Reduce Compliance Risk for Pharmaceutical and Medical Device Companies
Use Cases and Deployment Scope
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.
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.
Return on Investment
- We have launched MedTech Post-market intelligence demonstrating 22+ million post-market medical device events with their analysis of how they are linked to affected products, device problems, patient problems and manufacturers. The ease of being able to process and display such high volume data with intricate joins is done seamlessly within GoodData.
- Another core offering from [...] is MedTech Pre-market intelligence that involves tracking the life-cycle of a product or medical device's licensing journey before it hits the market. This involved processing and supporting 2+ million device records globally and their linkages. 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." For more details, read here:[...]
- [...] is the Intelligence Cloud for quality and regulatory operations, transforming regulatory complexity into trusted, proactive intelligence. We unify global regulatory intelligence, inspection data, and supplier insights so you can predict and prevent compliance risks before they happen. As part of these key offerings, we compute Site Risk scores from supplier analysis standpoint for over 300+ thousand sites and categorize risks in the different department and quality system label issue. These risk score model help customers assess how likely that supplier can get a 483 or warning letter, and what were the top issues reported during their previous inspections. These critical components help customers stay aware of the supplier quality and help them make informed business decisions that saves hundreds of thousands of dollar.
Usability
Alternatives Considered
Tableau Cloud, Looker, Microsoft Power BI, Domo, Highcharts and Metabase
Other Software Used
dbt, Snowflake, Astro by Astronomer
Good value for money but has room for improvement
Use Cases and Deployment Scope
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.
Pros
- support
- easy to navigate existing dashbords
Cons
- cumbersome to create metrics
- limited variety of available visualisations
Return on Investment
- we monitor ROI in GoodData and make decisions based on it
- we do cost analysis
- we monitor CLV
Usability
Alternatives Considered
Tableau Cloud, Microsoft Power BI and Looker Studio
Other Software Used
Keboola Connection, Tableau Cloud
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
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.
