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.
N/A
Reveal
Score 10.0 out of 10
N/A
Reveal is a True SDK embedded analytics and business intelligence platform built for software teams shipping customer-facing dashboards, reporting, and AI insights inside their own applications. Unlike iFrame-based or bolt-on BI tools, Reveal embeds natively — with full control over UX, branding, and architecture, and no separate licensing or infrastructure overhead. End users get self-service analytics including drag-and-drop dashboard creation, conversational AI…
I think it works nicely for shops that want the analytical power and are ok to host their own infrastructure for the data and etl. For smaller operations with limited budgets but still high demand for analytical features the math may not work out.
As a company responsible for people money we have to deal with following challenges every day: Clients who want to track the status of their transfers. Licensing agencies who need to ensure professional standards are met. Internal team managers who need to track client and staff progress to ensure company progression and success. Reveal does a good job as self-service tool enabling the accountable parties to have full access to important insights 24/7. The prebuilt dashboard themes save time and investment as we don’t need to hire a dedicated data analyst. The interactive dashboards give full transparency. The ability to easily create, analyze and report keeps clients, partners and stuff on the same page.
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.
Ease of Use - Reveal is super intuitive when it comes to creating dashboards. You don't need to be a data expert, which is key for me.
Sharing - The ability to share across our teams, locations, and with clients is great. We create teams for our different clients and share dashboards there that also are connected to our company dashboards.
Support and Roadmap - Reveal support has been great. They care about the needs of their customers. They have released 3 updates in the last few months, and they are adding a lot of value.
Good Data is already have certain customizable options. However, having more flexibility in customizing reports and dashboards & control over the visual aspects would enhance the overall user experience.
To make Good Data even more powerful tool, improving the speed and responsiveness of the tool, especially during data-intensive tasks, would be a significantly helpful.
For new users, the interface can be made more user friendly which would promote easy navigation through features of tool.
Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage
As a developer of the project, I feel comfortable with this tool for its peculiarities: acceptable costs, simple configuration, creation and maintenance of simple reports, fairly complete account management, also, not least, I appreciate the work done by their technical support always timely intervention and, above all, resolutive. Furthermore, as far as end users are concerned, I found a good appreciation of the proposed reports
From a customer perspective it is incredibly usable. We have more users building their own reports that would normally need custom work from our support team. The back end can be daunting when trying to configure things like new data elements or push changes to a report to all existing customers.
Reveal has a great usability for any level of computer user. The only major thing I see that is not exactly user friendly, is the color scheme issue I stated earlier in my review. Although, I am coming from a graphic design background, I need a platform that every team member in our office can use.
This assessment is due to the fact that I have not yet found Reveal not available for use. Apart from some problems of development crash, then fixed by the product assistance service, I have not found any particular problems or loss of time caused by the instrument.
The pages load rather quickly even in the presence of several elevations in the same dashboard that insist on different data sources and with visualizations that insist on different types of graph. I can only be satisfied with these performances.
Support team has been highly responsive and helpful from our first initial deployment to present day. They engage and work with us. know when to escalate for more challenging problems. They also follow up. Overall have had a very good experience with support
Implementations are hard and we had limited technical resources. We relied too heavily on GD care team. When we found technical gaps, they weren't simple to overcome
None in particular, however, would be welcome if improvements were made in the personalization of the prospects and in the connection between them (perhaps being able to transfer the selections present in one prospect to another recalled by the first).
GoodData comparing to other platform is very easy to use, customer support and on-boarding support. Set of features, speed of integration in our platform. Also great benefit for us was very competetive pricing.
Lacks ability to generate analytics as complex as Tableau and not as easy to embed and interface with other software and databases as Looker. But a very good option for those not needing the complexities found in other products.
This evaluation is the result of the fact that I have not had the opportunity to deepen the Reveal interface with other tools and / or other software, so the evaluation that I am giving follows what I have been able to read regarding the characteristics of the product online.
