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Mode Analytics

Score8.1 out of 10

18 Reviews and Ratings

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What is Mode Analytics?

Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Mode Analytics has to offer, as determined by TrustRadius' reviewers.
Based on 18 ratings of Mode Analytics's features
View all features

Top Performing Features

  • Multi-User Support (named login)

    Named model access means that users have access based on name and password.

    Category average: 8.6

  • Single Sign-On (SSO)

    Allows users to use one set of login credentials to access multiple applications

    Category average: 8.5

  • Report Delivery Scheduling

    Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

    Category average: 8.4

Areas for Improvement

  • Predictive Analytics

    Predictive Analytics is the ability to build forecasting models based on existing data sets.

    Category average: 7.8

  • Publish to PDF

    Category average: 8.5

  • Location Analytics / Geographic Visualization

    Location analytics is the visualization of geographical or spatial data.

    Category average: 8

Reviews

What users are saying about Mode Analytics.
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Data visibility, but not terribly intuitive

Incentivized
Taly Matiteyahu
Founder & CEO at Blink Date (1-10 employees employees)

Use Cases and Deployment Scope

It provides visibility into data that otherwise would be inaccessibility and allows the building of views of diff slices of data

Pros

  • Views into different slices of data
  • Making otherwise inaccessible data accessible

Cons

  • It's not terribly user friendly. someone else had to be provided instruction on what we needed and they put it together
  • it could be more visually pleasing in terms of data consumption

Return on Investment

  • It's allowed me to have access to data I'd otherwise have to ask an engineer for every time I wanted to see it

Usability

A Powerful Data Reporting Tool For Collaborative Work

Incentivized
Kofi Obo WoodView profile
Head of Operations in Product Management at Waya Limited (11-50 employees employees)

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

  • 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

Other Software Used

MongoDB Atlas, Anaconda, Postman

Usability

Powerful data visualization

Incentivized
Jacob RossiView profile
Help Systems Analyst in Engineering at Lyft (1001-5000 employees employees)

Use Cases and Deployment Scope

I use Mode Analytics to set up custom dashboards for monitoring key business metrics, from customer sentiments and escalation statistics, to detailed app engagement data. The scope is typically limited to the web and in-app help/support sections of the experience. It's particularly helpful for monitoring project impact after deploying significant changes to the product.

Pros

  • Customizable dashboards
  • Versital metrics and dynamic inputs
  • Intuitive interface
  • Exportation of results

Cons

  • Date ranges aren't always the most intuitive to set, strangely
  • Faster refresh rates would be ideal
  • Would love more dynamic mobile device integration (alerts, etc)

Most Important Features

  • Customizable dashboards
  • Dynamic inputs
  • Wide range of visualization options

Return on Investment

  • Empowered me to make data based decisions
  • Made data collection more fast, efficient, and useful
  • Identified when new features need tweaks or course corrections

Alternatives Considered

Looker and Tableau CRM (formerly Einstein Analytics)

Other Software Used

Slack, Atom, GitHub, Terminal, Grafana, Kibana, Jenkins, Twilio, Zendesk Support Suite, Docker, Bubble.io

Mode Analytics

Incentivized
Devindra SooklallView profile
Data Management in Engineering at Numerator (1001-5000 employees employees)

Use Cases and Deployment Scope

Mode is a great BI tool for creating reports to pull, analyze, and visualize data. It was very helpful in identifying sore spots in our operations and pointing out where action needed to be taken. It is a reliable tool that is fast, user-friendly, and easily accessible by those who are less tech-forward as well.

Pros

  • Stability
  • Ease of Use
  • Ease of sharing reports

Cons

  • More color schemes
  • More training videos
  • Lower cost!

Most Important Features

  • Data Visualizations
  • Data Analytics
  • Data Democratization

Return on Investment

  • Identified operational shortfalls
  • Allows stakeholders to take action individually
  • Visual representations of how long each process takes helps improve turnaround

Mode Analytics Pros and Cons

Incentivized
Rita Lo
Analytics Lead at Lyft Inc. (1001-5000 employees employees)

Use Cases and Deployment Scope

Mode Analytics is our main source of querying from our databases. We can pull data using PrestoSQL (Trino), visualize different metrics for trends, create quick dashboards for stakeholders, and even incorporate more sophisticated R or Python logic via their built-in notebook tool.

Pros

  • Multi-platform integration
  • Customer support
  • Clean UI for great UX

Cons

  • Scope of visualizations available
  • Advance dashboarding customizations
  • Drill-downs

Most Important Features

  • Dashboarding
  • Customer Support
  • Easy querying/sharing

Return on Investment

  • Data for better decision making wrt whether to pursue initiatives
  • Dashboards that track periodic trends to inform on abberrations
  • Analysis to support retro on existing initiatives and future improvements

Alternatives Considered

Jupyter Notebook

Other Software Used

Jupyter Notebook, Sublime Text, Slack

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