Jirav vs. SAP Analytics Cloud

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.

>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.

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• 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

• It makes it easier yo analyse order and related records easily.
• We can easily maintain and track the performance of employees in organisation.
• Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.

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• 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

• Complexity in Data Modeling
• SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
• An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.

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We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.

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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

I landed on a 7 out of 10 for a few key reasons. The tool is flexible in the sense that we are using very very very (very) little off the shelf solutions and customizing to our needs. Users enjoy having the customized data actions, key variance calculations, and easy to use headcount/salary planning in the same tool. One downside is that users are hard to please when they are used to excel. SAP Analytics Cloud simply is not excel, and the flexibility of excel in a crunch is not there.

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Invited by TrustRadius (TR) on Vendor's Behalf

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

I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.

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I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But

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Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.

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Good videos and reference material available in SAP Portal.

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In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online

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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

SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights

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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

SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning

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unit pricing

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Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.

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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

very simple

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• 1-3 day shortening of post-month end close analysis from integration with our accounting software
• Elimination of several manual Excels related to headcount variance, salary variance, and planning

• Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
• We now have more insight into the data, and people with little technical experience can easily build stories.

Incentivized

Invited by the Vendor

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