Entrinsik Informer vs. GoodData.AI vs. Logi Symphony

It makes creating queries very easy for end users so not only research or technicians can do it. The availability for creating Live reports that are accessible via Excel on the network has given many of our users the ability to get the information they need in a format they can use without needing someone to translate the raw data

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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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For all the scenarios I have so far worked on or I am currently working on, Dundas BI has proved to be more than adequate and apt to handle all of those. It is a very easy-to-use tool with quick shortcuts enabling you to prepare ad-hoc reports or dashboards in a matter of minutes.

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• Simple user-interface: Informer is relatively easy to learn and end users can begin running reports and creating new reports quickly.
• Email "burst" functionality: This feature allows emails to be sent out based on data in the report. So for example, a report could be scheduled that would email all student employment managers listing out the specific employees that report to them that haven't submitted their time sheets. Each manager would only see the rows that correspond to their email address.
• Analytics and grouping: Users can quickly drag columns to group and sub-total, and can use the analytics tab to get deeper insights into the data.

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• 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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• Project organization from Development to Production, you get a production and development license but I think the best way to do it is with DEV and Prod project in the Production box. Use the development box for testing updates and really crazy things. With the Dev and Prod projects on the same box, you just publish from Dev to Prod and you are done. Users only have access to the Prod projects so no one can mess up what you are working on.
• Security - If you have a hierarchy (subsidiaries, divisions, department, teams) and you want each group to see only their data, then Security hierarchies are for you!
• Dependent filters! What's this you ask? Here is an example of how it can be used, in your company you have departments and who works for what department is in your database. You make a dashboard that has a department filter (only show these departments), a managers filter, and employee filter. Not every manager or employee is in multiple departments usually only one. With dependent filters you can say that the manager and employee filter are dependent on what is selected in the departments filter so when you go to filter them they only show the managers or employees that are part of that department, and you can even it do so employees are not only dependent on department but on manager as well. Then it gets even better as it can be done in reverse as well so when you select a manager then go to the department it only shows the departments he works for (there are better situations where this is more useful).
• It is scriptable! From calculate columns, null replacements, button actions, load actions, hover over events there a way to do what you want.
• They are constantly improving and listens to your suggestions.

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• There are a lot of reports that we have in Informer that say they have never been run, even though I know they have been run. So that makes it really difficult to determine which reports can be deleted to keep a tidy report list.
• The only other complaint I have about Informer is that there doesn't seem to be a properly detailed error code/message when the student information system can't be accessed. For example, I am currently trying to move Informer to its own standalone server and I get an error message saying that our license isn't valid. Informer Support sent a new license, which prompted the same message, and the only explanation they have given me is that Informer can't reach the student information system. I would think that if that were the case, the error message would say that instead of an invalid license.

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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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• Not too many cons for how we use the application. It really is easy and powerful. Very powerful.
• Licensing is one thing that could be looked into. It is simple, but a little confusing. For example, if I get a license today, but a new release comes out tomorrow, it seems that the license doesn't work with the new release. Maybe that is by design, but it would be nice to clearly understand.

Informer has been handily meeting most of our reporting needs, and we've created a library of hundreds of reports that are used every day. They have a terrific support service to help when you have questions, and I've found them to be great at listening to what customers would like and adding new features. They are a small company that really listens and really cares, and I've been very pleased over the past few years getting to know them.

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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From the perspective of the new user and a seasoned user I would say eight would represent both parties. It presents a 'familiar' interface and easy to navigate display. Tagging is quite nice and allows for organization of reports based on those tags. These have to be monitored like anything else to keep them consistent but provides a better than average means of organizing 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.

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We are still in the implementation phase, but so far we are finding it to be easy to use and learn. The eLearning courses that they have made available for free, as well as User Forums and other training videos have made even difficult concepts easier to understand.

We have 10 concurrent licenses and we average between 6-8 at any given time during the day; and we host the application.

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

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

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Always able to get acceptable solutions in reasonable time from friendly support staff. Initial contact is always with knowledgeable person - not someone reading from a script trying to screen calls. Thanks Entrinsik for being in tune with my needs.

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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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We have bi-weekly calls with our Success Manager, as well as access to support as needed. Any question that I have had, multiple people have been willing and able to jump on a call to talk me through it, or send an email with the solution

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

GoodData implementation team was professional and courteous

We bought the product on a Thursday morning, and we were writing reports on Friday afternoon. We did take about a month to manage the Mapping, Linking and Security to allow us to open it up across campus. We are now mapping from as many third-party vendors as we can to enable the creation of more ad-hoc reporting.

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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Providing that you have the client's needs well known, creating BI content using Dundas BI is a walk in the park!

I have experience with Advizor AnalystX, and it was just awful. It is advertised as an interactive reporting tool, in which you can use your mouse to select and segment constituents by where they live (by clicking on a map), how much they've given to your institution, when they last gave, etc. In practice, their map feature was unusable; it's a static map image (imagine a paper map hung on your wall), rather than draggable and zoomable Google Maps, and it required hours of work to configure one map region. As far as computing constituents' giving statistics, it required way too much back-end work to build simple giving totals.

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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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Per dollar spent, it offers the widest range of features of the tools that we evaluated. It offers lots of options for how to configure your environment, though they are not always intuitive to figure out. Having an ETL layer was a must have for us, as well as the ability to host to secure HIPAA compliance. It is not a replacement for ad hoc reporting, but does a great job of creating parameterized reports and dashboards that look great.

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

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• We have definitely improved customer service due to better reporting using Informer. All departments are better empowered to help our students in a more timely and accurate manner.
• Using Informer has given us the ability to eliminate functionality within our ERP system and offload reporting to a data store instead of the transactional system. This has resulted in successfully upgrading our core systems and improved response times.

• 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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• Coming from an SQL based standard delivery model, Dundas BI has provided a fantastic rate of ROI.
• The preparation and delivery time has reduced from weeks to just a few hours.

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