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
SAP Lumira Discovery
Score 8.3 out of 10
N/A
SAP Lumira Discovery is SAP’s data visualization and discovery application. It facilitates data discovery, visualization, and analysis by assisting users with creation of dashboards, infographics, presentations, data facets, tag clouds, and more.
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.
Infographics derived from specific data sources appears to be well suited for development using Lumira. The development of executive level dashboards was less appropriate from my perspective. The software does not provide sufficient demonstration or samples for the users to learn from in my opinion.
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.
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.
Even though the process of creating visualizations of data is now greatly improved, it could still be a lot better as users become accustomed to this kind of tool and bring forward edge cases the developers did not anticipate.
It would be awesome to have a cross platform tool that works on more than just Windows.
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
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.
SAP Lumira is very good self service analytical tool with powerful capabilities. However need to look into other SAP products in BI space, like SAP SAC. SAP Lumira is more used for custom and complex analytical need in business intelligence area. Also SAP Lumira is going out of maintenance in coming future replaced by SAP SAC.
Lumira is a desktop application runs in its own JVM. It installs its own java runtime libraries to avoid any core java version conflicts. The availability of the application is completely relies on individual machine hardware configuration. On a decent desktop, it performs well and always launches in either 32 or 64 bit environment based on the hosts system's OS
The performance is linear with amount of data that is being explored. We have done some benchmarks acquiring 10million data cells without having any performance problems. We need to make proper adjustments to jvm run time properties to start with higher heap size and other parameters that optimizes the run time performance
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
It does not have many bugs or issues since not a lot of new features are being added. The customer support for SAP Lumira Discovery is good and anyone considering this as a self-service tool would be happy. It integrates well in the SAP BI suite of products and the overall experience is positive.
Most of the user guides are pretty comprehensive and very easy to understand. The product itself is designed to be self-serve tool, did not need much of the end-user training. Most of the training we had is to how to read the data, how to explore the data, how to acquire the data etc.
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
Installing the desktop software on end-user machines is always challenging. The machine specifications are the biggest factor when running Lumira and be able to handle large datasets during data exploration. This often demands beefy machines at least for power-users. Although Lumira software licensing is not a big problem but managing partner's extensions and keeping track of their individual licenses may be an issue. If there is a way to bundle the more popular extensions such as vSQL or vOLAP should be bundled in core product and offer them as part of Lumira license instead of a separate license which causer operational burden.
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.
Even though SAP Analytics Cloud is considered to be better in aspects such as data connectivity or analytics, we decided to choose Lumira as it was easier to understand, learn and use. As our business is not really that big and does not require the inclusion of large amounts of data, Lumira was overall the safest and most comfortable option. Also, some members in our team had previous knowledge so it was easier to adapt
Enterprise wide implementation is a challenge with data security and trustedness. No easy installation can be done across the enterprise. no upgrade paths also available from SAP. They have so much of experience with desktop implementation, there it could be a controlled environment with a capital budget. These may be resolved in the upcoming releases
