GoodData.AI vs. Joule

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.

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Joule explained ATC findings, including root cause, business impact, recommended APIs, and examples of fixes for S/4HANA readiness checks. Joule today is a point-in-time assistant — great for one question, one generation, one explanation at a time. It is not yet capable of owning a full development flow.

• 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.

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• Users can prompt Joule to create business partners in MDG.
• The change process for Business partner (Customers/Suppliers) updation is made easy, particularly for updating data such as address and communication details.
• The workflow process has been simplified by Joule agents, such as identifying the high-priority task and sharing it with the end user.
• Improved data quality to almost 30%~50% in the CR creation process, which is a significant milestone for us.

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• 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.

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• In SuccessFactors Joule should have more tools out of the box.
• There should be more examples on what is possible to do with Joule or Joule Studio in Successfactors, all available examples seem to focus only on Payroll or Inventory management leaving the HR behind.
• Document Grounding should be easier to implement, and should be possible to have some kind of permissions per couuntry / user group for specific documents. The implementation with Sharepoint makes it harder to complete because normally we need some extra team to join and help and until now, I always had issues implementing it. I believe that it would make it much easier if the documents could be stored and managed inside SuccessFactors.

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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

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As we explore, we can learn more. As i believe, we can only learn to live and live to learn stuffs. So as well AI does the same and improve itself. By trying and prompting joule more, we can use it in better ways. I would definitely wait and use the new versions shared in SAP Teched on Joule with more LLM involved

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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.

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I would rate Joule’s overall usability a 10 out of 10 because it makes interacting with SAP incredibly simple, intuitive, and fast. The conversational interface removes the complexity normally associated with navigating SAP modules, running transactions, or building reports. Even non-technical users can get meaningful insights within seconds just by asking natural language questions.

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We are approximately one month since go-live. There has been one short outage.

as its cloud based, as of now, we see it available all the time and havent faced any issues while accessing. Not sure if this has high availability and Disaster recovery features got set up already with the default version that we are using at our organization. no issues so far.

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I'm generally impressed with how fast it reflects so much data.

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SAP Joule's pages load quickly and it does display the information on what we are looking for w.r.to the knowledge base or the SAP articles.

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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

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Usually support for Joule takes longer than normal, and the correct answer always takes a long time to get, or we just don't get it at all, and we fix ourselves.

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Petr was a rock star - patient, knowledgeable, clear and easy to work with.

GoodData implementation team was professional and courteous

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

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Joule implementation was easy but it has too many steps, it would be nice if part of the steps could be done automatically.

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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.

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Joule is better because it doesn't take only data available on the web, but combines that with data provided directly by the game publisher through API to us which includes every single match played = all data points from all of those matches. That means that for us Joule gives deeper insights than any online AI chat agent could do

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We never had any issues with scalability, other than being limited by workspaces

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Yes as sap is used widely across organisation

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• I personally pushed our management to get GoodData implemented, and there on we have been making much more profits than we ever did!
• Last month we made a decision using the platform and withing a short span of time our ROI gets 7X.
• We also made a marketing spend of $100,000 every quater using the insights and metrics, and we are really happy with the returs.

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• Allow us to have everyday operations smoother by automating repetitive tasks and reducing manual efforts, which saves time and improves efficiency.
• Facilitate effortless information access, since it allows us to search and receive instant responses.
• Reduces the complexity of SAP by pulling data from different modules and making it clear quickly.

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