GoodData.AI vs. UiPath Automation Platform

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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UiPath Automation Platform is well-suited for automating repetitive and time-consuming tasks such as invoice processing, data entry, and report generation. By using UiPath Automation Platform, employees can focus on more strategic tasks, which leads to increased efficiency. Additionally, UiPath Automation Platform is highly effective at automating rule-based processes, such as financial processes like bank statement reconciliation, account payable, and account receivable processes that follow a set of predetermined rules.

• 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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• UiPath is very simple to learn.
• Any type of application can be automated (Desktop Application, Web Application and also applications reachable only via remote technologies such as Citrix, Remote Desktop and so on).
• The writing of a process code takes place entirely through the use of objects. In the event that there were no objects capable of solving a particular problem, it is possible to use some languages of the .net platform such as: VB.net, C#.
• It is easy to scale the solution by adding more robots to run a process in case the solution requires more performance in the future.
• It can also be used by functional analysts to design the flow to be automated.
• An academy is available online where basic and advanced courses can be taken. It is also possible to take a completely free basic certification.

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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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• As I mentioned, Excel automation is not very effective, there are a number of packages to add, but there is nothing as smooth as a good macro.
• Working with selectors is certainly challenging and UiPath does a good job with that, but there is room for improvement since the interface could be smarter in selecting the right attributes and warn the user if something is not properly setup.

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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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This platform has so much potential and have been garnering a lot of attention by proving benefits in terms of saving operational and manpower costs. I am sure with minute efforts we were able to achieve our ROI and the same is the case with many of our customers whom we have been working around Digital Automation initiatives.

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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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There are two main reasons with this rating 1. UiPath Automation Platform requires the old school type of Change Weather management, Which actually eats a lot of time to manage and roll out the recent changes. There is not something kind of CI/CD when you are developing the things With UiPath Automation Platform. 2. Very high development and maintenance cost, which actually decrease its usability.

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

Its a cloud based platform which is easily available and used

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

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It has proved and provided good performance across platforms and technologies.

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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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UiPath RPA has an exceptional studio interface. It has been a year and so since I am using UiPath RPA. Whether it is some my personal task to scrape information & links from the Journal or find a specific character string from multiple PDF collection using OCR, UiPath RPA has made its roots to our technological ecosystem

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

GoodData implementation team was professional and courteous

Video material supported by text. The training has evolved a lot in the past 3 years to become more attractive. Specific training tracks exist for the different roles in RPA development, where everyone is expected to learn basic development.

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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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The implementation was quick and practical

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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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As compared to other products, we require programming knowledge and concepts to work but UiPath is for everyone. It provides us extensive event logging at various stages and effective exception handling for applications and business. It increases our agility and enhances the overall productivity further by using the source control SVC. The solution that we implemented is also very scalable in terms of incorporating new requirements.

The open source tools require lots of IT effort in order to set up and maintain over time. UiPath is like a complete package and customer service is also active in terms of solving issues arising while automating procession on a day to day basis.

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

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It can be widely used across various departments regardless of platform the product,processes, use cases are build on.

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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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• We are well on our way to automating our expenses, saving so many hours for project managers and engagement managers.
• Proofs-of-concept excite our clients, though we are yet to make a sale on a project.
• UiPath specifically has incited interest with our apprentices and has led them to join the RPA team.

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