Item: Mode Analytics
Rating: 8
Author: Kofi Obo Wood

Overall Satisfaction with Mode

Use Cases and Deployment Scope

We are using Mode to monitor ongoing financial transactions written to our SQL data tables in real-time. Mode provides perhaps one of the really nice and standardized ways we are able to view transaction data from our users' activity as a fintech. Otherwise, we would have to view it from raw SQL data which can be quite "ugly".

Pros and Cons

Pros

It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
It allows for easy sharing and work collaboration on data analysis tasks
Mode has an easier to use SQL editor as well
I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on

Cons

I did not like that it does not give me a real-time refresh ability for the data we are fetching from our SQL data tables and I have to run my SQL script every time I needed to see the up-to-date data
I also did not like the fact that Mode is not optimized for mobile web view, this makes it use mostly desktop computer limited for me
Sometimes it has limited chart options when it comes to data visualization

Return on Investment

It has allowed us to monitor ongoing financial transactions written to our SQL data tables in real-time and that helps us to monitor user transaction activities in real-time
Using Mode we have been able to also track users who undertake fraudulent financial transactions; preventing financial losses to our users
Mode's collaborative abilities have been very helpful in sharing transaction monitoring workload across our compliance and cybersecurity team

Alternatives Considered

Microsoft Power BI and MongoDB

Key Insights

Do you think Mode Analytics delivers good value for the price?

Yes

Are you happy with Mode Analytics's feature set?

Yes

Did Mode Analytics live up to sales and marketing promises?

Yes

Did implementation of Mode Analytics go as expected?

Yes

Would you buy Mode Analytics again?

Yes

Other Software Used

MongoDB Atlas, Anaconda, Postman

Usability

Because of how Mode does not require a lot of SQL knowledge and how developing charts are more of a drag and drop building almost everyone can pick up using Mode. It is also flexible in giving users a way to view your data how you want. Plus it has a lot of in-app tutorials for users.

Support Rating

Because as users of Mode, there have been issues we report that still persist on Mode; even when new updates are rolled in; An example of this is buggy error reporting that still persists in Mode as a software. Yes, they do respond to email queries but it takes a little bit of time for actual feedback on reported issues.

Likelihood to Recommend

Mode is well suited for scenarios where one has to do queries in both SQL and R programming allowing for dynamic data pulls. This along with its ability to schedule reports allows for collaborative work with different teams. But unfortunately, it has limited options when it comes to visual charts. Mode also allows for seamless display of data. The SQL environment is quite intuitive and easy to use with chart-building and calculated fields tools stacked on top of the underlying query making the data more accessible to people who have limited SQL knowledge. Unfortunately, Mode can also be quite slow in handling larger data sets and its error handling is not as expansive as one may want.

Mode Feature Ratings

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