Jirav vs. Matomo Analytics

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.

If you want to balance data-driven marketing and a privacy-minded approach to analytics, Matomo Analytics is for you. It's easy to be compliant with GDPR and other regulations while still having detailed (anonymized) analytics that help inform what content is resonating vs what content is not resonating. And of course you also get all of the rich referral, campaign, and goal conversion data to help you optimize your marketing.

Incentivized

Independently Invited by TrustRadius

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

• One of Piwik's strengths is the provision of customizable widgets for different bits of analytics data. The ability to add and remove them, change dates and more makes this a flexible way to visualize data.
• The visitor log section is also rich, providing date, keywords, actions and more in a single table, which makes it easy to identify your most effective content.
• And the visitor actions table includes both bounce rate and time on site, so you can quickly tell which pages have the most engagement.
• Data display is a strength for Piwik, as you have access to overview charts while simultaneously being able to drill deeper.

• 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

• From a user security standpoint it would be useful to provide users the ability to have two-factor authentication. While stats data is not necessarily sensitive in aggregate, some users may feel that certain portions need to be more secure.
• It would be nice if there was a tighter integration with the Google search/referrer API so that "keyword not defined" would be replaced more often with the actual keyword that is being used to send a visitor to a site.
• An easier branding method, maybe in the form of an API function set, that pulled branding URLs from a set of database fields would be great as well.

At this point, there is not a single conceivable reason as to why we would not renew and continue to use Piwik Analytics. Especially since it is a free program and open source. The product will only get better over time as more people look into it and donate to cause so that development can continue.

Piwik succeeds in presenting me (and my associates and my clients...) large amounts of data in a user friendly way. The interface and functionality can easily be customized. While some enhancements do need technical background (API calls by programming language from the webserver or javascript), others are easy to use (goal / event tracking)

The best thing about the Matomo support is that they have a forum which basically you can find the answer to almost all of your questions and most of the time you don't need to contact them regarding your questions and problems but if you need help they will answer in a reasonable time slots.

Incentivized

Independently Invited by TrustRadius

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

Only one hiccup when we were using a beta installation. Other than that, smooth sailing.

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

It is much more robust out of the box, easier to set up and more intuitive to use. The reports are set up already and it requires little to no setup after installation to start gathering insights.

• 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

• We can see the analytics of our web applications and thus having the insight of the systems' behavior.
• It helps in improving the performance and scalability of our web application.
• It helps us improve the user experience on our sites; seeing the user's activity we can take decisions to make it better.
• A cost-effective tool, since it is free.

Incentivized

Independently Invited by TrustRadius

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