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Mode

Mode

Overview

What is Mode?

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,…

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 20 features
  • Customizable dashboards (9)
    8.4
    84%
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (9)
    7.7
    77%
  • Integration with R or other statistical packages (9)
    7.5
    75%
  • Formatting capabilities (9)
    6.8
    68%
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Pricing

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N/A
Unavailable

What is Mode?

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…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://mode.com/compare-plans

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Introducing Big Values

YouTube

Introduction to Explorations

YouTube

Introduction to Calculated Fields

YouTube

Introduction to Python Edge

YouTube

What Is Visual Explorer?

YouTube

Introduction to Parameters

YouTube
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.5
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

7.6
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

7.9
Avg 8.4

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

6.5
Avg 8.1

Access Control and Security

Access control means being able to determine who has access to which data.

9.4
Avg 8.6

Application Program Interfaces (APIs) / Embedding

APIs are a set of routines, protocols, and tools for used for embedding one application in another

9
Avg 7.9
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Product Details

What is Mode?

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.

With Mode as a central hub for a company’s analysis, data teams and business teams can work with data together with the goal of creating operational efficiency, increasing data literacy, and turning data into a competitive advantage.

Mode Features

BI Platform Features

  • Supported: Live Connection to External Data
  • Supported: In-memory data model

Supported Data Sources Features

  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: Postgres
  • Supported: MySQL
  • Supported: Salesforce
  • Supported: Google Analytics

BI Standard Reporting Features

  • Supported: Customizable dashboards

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Integration with R or other statistical packages

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Single Sign-On (SSO)

Application Program Interfaces (APIs) / Embedding Features

  • Supported: REST API

Mode Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Looker, Tableau Desktop, and Sisense for Cloud Data Teams are common alternatives for Mode.

Reviewers rate Pixel Perfect reports and Report Delivery Scheduling highest, with a score of 9.3.

The most common users of Mode are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(18)

Attribute Ratings

Reviews

(1-9 of 9)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
Mode is designed for data people. It is extremely flexible and fast, and you can turn your exploratory queries into professional looking visualizations easily. Mode supports analysis, visualization, data processing in R or Python notebooks, and report writing. I use Mode for everything, from jumping in to quickly answer a simple question to in-depth analytical projects to OKR reporting.
Kofi Obo Wood | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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".
December 23, 2021

Mode Analytics

Devindra Sooklall | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Mode's white label embed feature, to power in-app reporting for our customers -- even going so far as doing rapid prototyping for them. We also use Mode Analytics to centralize, protect, and ease our team's access to data sources.
Jacob Rossi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
November 09, 2020

For the advanced user

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Mode Analytics in our company when we need an easy way to access the data combined with the flexibility of using Python to perform advanced analysis. The uses range from marketing analytics to customer behavior, and we might use it for fraud analytics. The department that uses it is the research department, where engineers and data scientists have the knowledge required to use it.
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