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
Jirav
Score10 out of 10
Mid-Size Companies (51-1,000 employees)
Jirav, headquartered in San Francisco, aims to deliver smarter financials and faster insights, helping to understand where a business has been and predict where it will go. The system joins cloud-based Accounting, HR, CRM and billing data to automatically surface an interconnected model that is unique to a business. The solution helps eradicate spreadsheet errors, produce monthly reports that occur in real-time, and connected data enables teams to collaborate on multiple scenarios – bookings,…
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I feel that Jirav would be best suited for companies with less than 75 employees that need a more robust software than Fathom (Quickbooks Onlne integrated FP&A tool based in Australia) that is very customizable, with simple revenue modeling, few personnel changes every month, few departments, no multi currency, and need collaboration only with top-level personnel. I think Jirav is a product that is being highly recommended in the accounting industry for outsourced accounting firms, but accounting only looks at historical information and there needs to more finance industry influence, approval, and input so they can improve their product.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Jirav integrates well with Quickbooks Online (QBO), and I like how you can easily customize the reporting presentation by combining GL accounts and showing more or less details as needed for managerial reporting
I like that Jirav is browser-based and that I can easily share reports with internal and external parties for comments
I feel more confident using Jirav than I do with Excel because there is more data validation, and some notifications will appear if there are errors in the model
The sales capacity model and ramping employees schedule that their implementation / professional services team built for us works well overall (with some limitations)
Ideally, having a direct integration into Jirav would be great for all our data. However, some of our software didn't have a direct integration, so I was glad that Jirav offered the ability to use a connected Google Sheet that lets me input data that can be imported directly into the system
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
At times, I feel that Jirav is too customizable. It would be great if they could tailor the system to be more industry-specific. For example, if the system could provide standard formulas for SaaS industry metrics already within the system, then that would have saved me a ton of time with having to create the metrics myself. The formula creation for metrics is quite tedious as well because you can only do simple calculations, such as A + B or A x C. You cannot do A + B + C or A x B x C.
I struggle with the way they have their staff planning set up because I have to reimport an Excel every month with all the changes (new hires, terminations, pay changes), and the changes appear to be retroactive on reports, which doesn't make sense if someone receives a raise or pay change during the year. It would be much easier for planning for bookings if they could add a column for quota by salesperson.
If there are notifications of errors in the model, then the notifications will continue to present themselves after I resolve the issue. It would be nice if I could clear out notifications I know are not relevant anymore. I also still find errors in the system that I would have expected the system to notify me about, such as Assumptions that are set up but they are not included in any formulas, so I should delete that assumption to prevent anyone from thinking changing that assumption will impact the model.
There is some functionality for sharing reports and information, but there is not enough granularity in security settings to allow me to share certain information easily. For example, if I want to share information with managers to manage their departments' budget, but also not see their boss' compensation, then it takes some work to set that up. Or, if I want to share a report with a recruiter of planned headcount and salary, then I need to export it to Excel first and delete Actual headcount and salary, so they don't see current employees' compensation (including the person's boss' salary).
Customer and vendor names do not import, only the totals, so if you look at Actuals vs Plan, the actuals will show a total figure and the plan will show detail, creating the need for an external and manual reconciliation
There is no multi-currency available
Scenario analysis can be difficult to do quickly. For example, if I want to see the plan with planned hires and without planned hires, then I would need to create two separate plans, individually select and delete the planned hires in one plan and keep then in another plan, which is time-consuming
Using Google Sign-In causes the system to time-out frequently for me, so I get kicked out of the system and have to log back in. If I have multiple tabs of Jirav open, then re-logging in sometimes doesn't bring me back to where I was originally at.
You can export reports to Excel, but there are no formulas of the calculations, which makes it more difficult to understand how calculations are being performed unless you look in the browser and dig into the calculations. This also might make it more difficult if you decide to go to another software in the future since you may need to start from scratch in the next software
Seasonality has been difficult to model. For example, the way our model is set up, I can use an assumption for Q1, Q2, Q3 and Q4. However, if I update Q3 for this year, then it also updates Q3 of all subsequent years, which I don't want. A more complex model and additional maintenance would be needed to accomplish more accurate seasonality planning
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Fathom was the cheapest and most basic as an add-on directly to QuickBooks Online Plus, but you lose functionality with Fathom if you use QuickBooks Online Advanced (QBOA). The main loss of functionality for me was the lack of multiple department reporting, which was absolutely necessary for my analysis. Jirav was half the price of Moscaic.tech, but I've heard Mosaic has standard metrics for the SaaS-industry, which is appealing after going through the tedious process of setting up metrics in Jirav. QBOA has additional reporting than QBO Plus, but not enough robust features for planning and modeling. PlaceCPM is Salesforce-based and a I felt having a strong Salesforce admin that can great reports made their unnecessary, and I feel like most of the time you need a Salesforce admin just to run Salesforce. Cube, Vena and OnPlan are spreadsheet-based, but I don't want to use spreadsheets. Prophix, Board and Anaplan seem outdated. Workday was more than what I needed
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
